www.cambridge.org/statistics

Forthcoming

Principles of Statistical InferenceD. R. CoxNuffield College, Oxford

In this definitive book, D. R. Cox gives a comprehensive and balanced appraisal of statistical inference. He develops the key concepts, describing and comparing the main ideas and controversies over foundational issues that have been keenly argued for more than two-hundred years. Continuing a sixty-year career of major contributions to statistical thought, no one is better placed to give this much-needed account of the field. The book will be valued by every user or student of statistics who is serious about understanding the uncertainty inherent in conclusions from statistical analyses.

Contents: Preface; 1. Preliminaries; 2. Some concepts and simple applications; 3. Significance tests; 4. More complicated situations; 5. Some interpretational issues; 6. Asymptotic theory; 7. Further aspects of maximum likelihood; 8. Additional objectives; 9. Randomization-based analysis; Appendix A. A brief history; Appendix B. A personal view; References; Author index; Index.

2006 228 x 152 mm 250 pages 5 figures

Hardback £45.00 978 0 521 86673 6 (0 521 86673 1) Paperback £19.99 978 0 521 68567 2 (0 521 68567 2)

Selected Statistical Papers of Sir David Cox D. R. CoxNuffield College, Oxford Edited by D. J. HandImperial College, Londonand A. M. HerzbergQueen’s University, Ontario

Sir David Cox’s most important papers, each the subject of a new commentary by Professor Cox himself. A full listing of the papers can be found at www.cambridge.org/cox_papersVolume 1: Design of Investigations, Statistical Methods and Applications,

2006 247 x 174 mm 609pp Hardback £ 100.00 978 0 521 84939 5 (0 521 84939 X)

Volume 2: Foundations of Statistical Inference, Theoretical Statistics, Time Series and Stochastic Processes,

2006 247 x 174 mm 587pp Hardback £100.00 978 0 521 84940 1 (0 521 84940 3)

2-Volume Set 2 Volume Set £180.00 978 0 521 85816 8 (0 521 85816 X)

Textbook

Statistical ModelsTheory and PracticeDavid FreedmanUniversity of California, Berkeley

‘... essential reading for anybody who uses regression to do more than summarize data. The treatment is original, and extremely well written. Critical discussions of research papers from the social sciences are most insightful. I highly recommend this book to anybody who engages in statistical modeling, or teaches regression, and most certainly to all of my students.’Aad van der Vaart, Professor of Statistics, Vrije Universiteit Amsterdam

Contents: 1. Observational studies and experiments; 2. The regression line; 3. Matrix algebra; 4. Multiple regression; 5. Path models; 6. Maximum likelihood; 7. The bootstrap; 8. Simultaneous equations; References; Answers to exercises; The computer labs; Appendix: sample MATLAB code; Reprints; Index.

2005 241 x 165 mm 424pp 22 tables 203 exercises

Hardback £45.00 978 0 521 85483 2 (0 521 85483 0)

Paperback £19.99 978 0 521 67105 7 (0 521 67105 1)

New Edition

The Cambridge Dictionary of Statistics, Third EditionB. S. EverittInstitute of Psychiatry, King’s College, London

If you use statistics and need easy access to simple, reliable definitions and explanations of modern statistical and statistics-related concepts, then look no further than this dictionary. Over 3600 terms are defined, covering medical, survey, theoretical, and applied statistics, including computational aspects. In addition, short biographies of over 100 important statisticians are included. The majority of definitions then give a reference to a book or article where the user can seek further or more specialised information, and many are accompanied by graphical material to aid understanding.2006 247 x 174 mm 450 pages 134 figures

Hardback £55.00 978 0 521 86039 0 (0521 86039 3)

Paperback £25.00 978 0 521 69027 0 (0521 69027 7)

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General Methods and Models

StatisticsVital

‘This is already the most useful book on my shelf … excellent value and it is highly recommended as a reference text for anyone who is even mildly interested in statistics.’The Statistician

‘This is a ‘must-have’ reference for statisticians and students of statistics.’ Journal of the American Statistical Association

New and recent titles in Statistics and Probability

2 Visit www.cambridge.org/statistics

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Textbook

Essentials of Statistical InferenceG. A. YoungImperial College Londonand R. L. SmithUniversity of North Carolina, Chapel Hill

Aimed at advanced undergraduates and graduate students in mathematics and related disciplines, this engaging textbook gives a concise account of the main approaches to inference, with particular emphasis on the contrasts between them. It is the first textbook to synthesize contemporary material on computational topics with basic mathematical theory.Contents: Preface; Introduction; 1. Decision theory; 2. Bayesian methods; 3. Hypothesis testing; 4. Special models; 5. Sufficiency and completeness; 6. Two-sided tests and conditional inference;7. Likelihood theory; 8. Higher-order theory; 9. Predictive inference; 10. Bootstrap methods; References; Index.

Cambridge Series in Statistical and Probabilistic Mathematics, 162005 253 x 177 mm 236pp 92 exercises 27 figures 40 worked examples

Hardback £ 30.00 978 0 521 83971 6 (0 521 83971 8)

Textbook

Elements of Distribution TheoryThomas A. SeveriniNorthwestern University, Illinois

This detailed introduction uses no measure theory, making it suitable for students in statistics and econometrics and for researchers who use statistical methods. Topics range from the basic distribution and density functions, expectation, conditioning, characteristic functions, cumulants, convergence, and the central limit theorem to exchangeability, orthogonal polynomials, and saddlepoint approximations.

Contents: 1. Properties of probability distributions; 2. Conditional distributions and expectation; 3. Characteristic functions; 4. Moments and cumulants; 5. Parametric families of distributions; 6. Stochastic processes; 7. Distribution theory for functions of random variables; 8. Normal distribution theory; 9. Approximation of integrals; 10. Orthogonal polynomials; 11. Approximation of probability distributions; 12. Central limit theorems; 13. Approximation to the distributions of more general statistics; 14. Higher-order asymptotic approximations.

Cambridge Series in Statistical and Probabilistic Mathematics, 17

2005 253 x 177 mm 528pp 10 tables 354 exercises

Hardback £ 35.00 978 0 521 84472 7 (0 521 84472 X)

Textbook

Probability and Statistics by ExampleVolume 1: Basic Probability and Statistics, Yuri SuhovUniversity of Cambridgeand Mark KelbertUniversity of Wales, Swansea

The emphasis of this book is how to construct simple and reasonable models rather than developing a superficial knowledge of sophisticated theories. To make it of broad value, the authors supply basic mathematical facts as and when they are needed, and have sprinkled some historical information throughout the text.

Contents: Introduction; Part A. Probability: A1. Discrete outcomes; A2. Continuous outcomes; A3. Index of problems for Part A; Part B. Statistics: B1. Parameter estimation; B2. Hypothesis testing; B3. Tripos exam questions in IB statistics (1992–2004); Tables of random variables and probability distributions; Glossary.

2005 247 x 174 mm 372pp 43 line diagrams 2 tables 43 figures

Hardback £ 60.00 978 0 521 84766 7 (0 521 84766 4)

Paperback £ 28.99 978 0 521 61233 3 (0 521 61233 0)

New in Paperback

Wavelet Methods for Time Series AnalysisDonald B. PercivalUniversity of Washingtonand Andrew T. WaldenImperial College, London

‘In my opinion the book by Percival and Walden should be available in every university library, and every time-series analyst must read this book for an alternative (to Fourier) set of techniques.’ T. Subba Rao, Short Book Reviews2006 253 x 177 mm c.626pp 24 tables 119 exercises

Paperback £ 27.99 978 0 521 68508 5 (0 521 68508 7)

New Edition

Data Analysis and Graphics Using R, Second EditionJohn MaindonaldAustralian National UniversityJohn BraunUniversity of Western Ontario

This book guides users through the practical and powerful tools that the R system provides. The emphasis is on hands-on analysis, graphical display and interpretation of data. The many worked examples, taken from real-world research, are accompanied by commentary on what is done and why. A website provides computer code and data sets, allowing readers to reproduce all analyses. Updates and solutions to selected exercises are also available. Both for learning and for reference, ideal for research scientists, final-year undergraduate or graduate level students of applied statistics, and practising statisticians.

‘The strength of the book is in the extensive examples of practical data analysis with complete examples of the R code necessary to carry out the analyses … I would strongly recommend the book to scientists who have already had a regression or a linear models course and who wish to learn to use R … I give it a strong recommendation to the scientist or data analyst who wishes to an easy-to-read and an understandable reference on the use of R for practical data analysis.’R News

2006 247x174mm 500 pp 12 colour plates 150 exercises 50 tables 150 figures

Hardback £45.00 978 0 521 86116 8 (0 521 86116 0)

Also Available

Semiparametric RegressionDavid RuppertCornell University, New YorkM. P. WandUniversity of New South Wales, SydneyR. J. CarrollTexas A & M University

‘...I recommend it strongly to anyone who is interested in modern nonparametric methods, whether they are expert or not.’ Marian Scott, Journal of the Royal Statistical SocietyCambridge Series in Statistical and Probabilistic Mathematics, 12

Paperback £30.00 978 0 521 78516 7 0 521 78516 2

Also Available

Statistical ModelsA. C. DavisonSwiss Federal Institute of Technology, Lausanne

‘This is an excellent textbook on modern statistics.‘ Zentralblatt MATHCambridge Series in Statistical and Probabilistic Mathematics, 11

Hardback £45.00 978 0 521 77339 3 0 521 77339 3

Visit www.cambridge.org/statistics �

Vital Statistics

The Coordinate-Free Approach to Linear ModelsMichael J. WichuraUniversity of Chicago

The coordinate-free, or geometric, approach to the theory of linear models is more insightful, more elegant, more direct, and simpler than the more common matrix approach to linear regression, analysis of variance, and analysis of covariance models. This book treats Model I ANOVA and linear regression models with non-random predictors in a finite-dimensional setting. A new angle on a classic subject. Cambridge Series in Statistical and Probabilistic Mathematics, 19

2006 253 x 177 mm 216 pages 7 tables

Hardback £30.00 978 0 521 86842 6 (0 521 86842 4)

Textbook

Design of Comparative ExperimentsR. A. BaileyQueen Mary, University of London

For every practising statistician who designs experiments and advanced undergraduate and beginning graduate courses. Examples, exercises and discussion questions are drawn from a wide range of real applications: from drug development, to agriculture, to manufacturing.2006 247 x 174 mm 350 pages 85 exercises 88 worked examples

Hardback £55.00 9780 521 86506 7 (0 521 86506 9)

Paperback £24.99 978 0 521 68357 9 (0 521 68357 2)

Also Available

Association SchemesDesigned Experiments, Algebra and CombinatoricsR. A. BaileyQueen Mary, University of LondonCambridge Studies in Advanced Mathematics, 84

Hardback £45.00 978 0 521 82446 0 0 521 82446 X

Matched Sampling for Causal EffectsDonald B. RubinHarvard University

Matched sampling is often used to help assess the causal effect of some exposure or intervention, typically when randomized experiments are not available or cannot be conducted. This selection of Donald B. Rubin’s contributions to matched sampling includes fundamental theoretical studies that have become classics as well as real applications. Each of the seven parts has an introduction by the author offering historical and current context. The book thus provides an accessible introduction to the study of matched sampling for students and researchers across the statistical, social, and medical sciences.2006 228 x 152 mm 496 pages 108 tables

Hardback £50.00 978 0 521 85762 8 (0 521 85762 7)

Paperback £22.99 978 0 521 67436 2 (0 521 67436 0)

Graduate Textbook

Statistical Mechanics of Disordered SystemsA Mathematical PerspectiveAnton BovierTechnische Universität Berlin, and Weierstrass Institute for Applied Analysis and Stochastics

A self-contained graduate-level introduction to the statistical mechanics of disordered systems. In three parts, the book treats basic statistical mechanics; disordered lattice spin systems; and latest developments in the mathematical understanding of mean-field spin glass models. It assumes basic knowledge of classical physics and working knowledge of graduate-level probability theory.Cambridge Series in Statistical and Probabilistic Mathematics, 18

2006 7x10 380pp 30 figures

Hardback c.£ 45.00 978 0 521 84991 3 (0 521 84991 8)

Markov Processes, Gaussian Processes, and Local TimesMichael B. MarcusCity College and The CUNY Graduate CenterJay RosenCollege of Staten Island and The CUNY Graduate Center

Two foremost researchers present important advances in stochastic process theory by linking well understood (Gaussian) and less well understood (Markov) classes of processes. They build to this material through ‘mini-courses’ on the relevant ingredients, which assume only measure-theoretic probability. This original, readable book is for researchers and advanced graduate students.Cambridge Series in Advanced Mathematics, 100

2006 228 x 152 mm 640 pages

Hardback £50.00 978 0 521 86300 1 (0 521 86300 7)

Random Fragmentation and Coagulation ProcessesJean BertoinUniversité de Paris VI (Pierre et Marie Curie)

By the author of Lévy Processes, this is the first comprehensive theoretical account of mathematical models for random and repeated fragmentation and coagulation over time. Written for readers with a solid background in probability, its careful exposition allows graduate students, as well as working mathematicians, to approach the material with confidence.Cambridge Studies in Advanced Mathematics, 102

2006 228 x 152 mm c.256pp

Hardback c. £ 35.00 978 0 521 86728 3 (0 521 86728 2)

Textbook

Measures, Integrals and MartingalesRené L. SchillingPhilipps-Universität Marburg, Germany

This is a concise and elementary introduction to contemporary measure and integration theory requiring only undergraduate calculus and an introductory course on rigorous analysis.

Contents: Prelude; Dependence chart; Prologue; 1. The pleasures of counting; 2. o-algebras; 3. Measures; 4. Uniqueness of measures; 5. Existance of measures; 6. Measurable mappings; 7. Measurable functions; 8. Integration of positive functions; 9. Integrals of measurable functions and null sets; 10. Convergence theroems and their applications; 11. The function spaces; 12. Product measures and Fubini’s theorem; 13. Integrals with respect to image measures; 14. Integrals of images and Jacobi’s transformation rule; 15. Uniform integrability and Vitali’s convergence theorem; 16. Martingales; 17. Martingale convergence theorems; 18. The Radon-Nikodym theorem and other applications of martingales; 19. Inner product spaces; 20. Hilbert space; 21. Conditional expectations in L2 ; 22. Conditional expectations in Lp ; 23. Orthonormal systems and their convergence behaviour; Appendix A: Lim inf and lim supp; Appendix B: Some facts from point-set topology; Appendix C: The volume of a parallelepiped; Appendix D: Non-measurable sets; Appendix E: A summary of the Riemann integral; Further reading; Bibliography; Notation index; Name and subject index.

2005 247 x 174 mm 352pp 15 line diagrams 5 graphs 500 exercises 15 figures

Hardback £ 50.00 978 0 521 85015 5 (0 521 85015 0)

Paperback £ 24.99 978 0 521 61525 9 (0 521 61525 9)

New Edition

4 Visit www.cambridge.org/statistics

Vital Statistics

Playfair’s Commercial and Political Atlas and Statistical BreviaryIntroduction by Howard WainerNational Medical Examiners Board, Philadelphia, Pennsylvaniaand Ian SpenceUniversity of Toronto

‘William Playfair’s Commercial and Political Atlas and his Statistical Breviary are among the most important works in the entire history of statistical graphics and data visualization. Here we find the origin of the modern graphical forms most widely used today - the pie chart, line graph and bar chart - and Playfair used these with great skill ... Spence and Wainer have done a great service to all those interested in visual information display and its history’Michael Friendly, York University

‘From the mind and hand of Playfair sprung - virtually fully formed - the prototypes for most of the statistical graphics in use today. There is no better place to start than at the beginning, and this is the book that lets us see what Playfair was trying to do - and to appreciate just how well he accomplished his goals. No student of information graphics should be without this book.’Stephen M. Kosslyn, Harvard University

2005 228 x 152 mm 248pp

Hardback £ 25.00 978 0 521 85554 9 (0 521 85554 3)

Subjective ProbabilityThe Real ThingRichard JeffreyPrinceton University

‘All of this is very lucidly presented and very easy and fun to read. There are a lot of extremely interesting examples and a lot of very instructive and entertaining exercises … I think it is a terrific introduction to the theme of subjective probability and the Bayesian approach to philosophy of science and epistemology that will be of interest to any professional or scientist as well.’Ellery Eells, University of Wisconsin-Madison

‘The book offers a concise survey of basic probability theory from a thoroughly subjective point of view whereby probability theory is a mode of judgement. Written by one of the greatest figures in the field of probability theory, the book is both a summation and a syntheses of a lifetime of wrestling with such problems and issues.’Phinews

2004 228 x 152 mm 140pp

Hardback £ 40.00 978 0 521 82971 7 (0 521 82971 2)

Paperback £14.99 978 0 521 53668 4 (0 521 53668 5)

Statistics and Probabilityfor Science, Engineeringand Computing

The Text Mining HandbookAdvanced Approaches in Analyzing Unstructured DataRonen FeldmanBar-Ilan University, Israeland James SangerABS Ventures, Boston, Massachusetts

Text mining is a new and exciting area of computer science that tries to solve the crisis of information overload by combining techniques from data mining, machine learning, natural language processing, information retrieval, and knowledge management. The Text Mining Handbook presents a comprehensive discussion of the state-of-the-art in text mining and link detection. In addition to providing an in-depth examination of core text mining and link detection algorithms and operations, the book examines advanced pre-processing techniques, knowledge representation considerations, and visualization approaches, ending with real-world applications.

Contents: 1. Role of probability theory in science; 2. Probability theory as extended logic; 3. The how-to of Bayesian inference; 4. Assigning probabilities; 5. Frequentist statistical inference; 6. What is a statistic?; 7. Frequentist hypothesis testing; 8. Maximum entropy probabilities; 9. Bayesian inference (Gaussian errors); 10. Linear model fitting (Gaussian errors); 11. Nonlinear model fitting; 12. Markov Chain Monte Carlo; 13. Bayesian spectral analysis; 14. Bayesian inference (Poisson sampling); Appendix A. Singular value decomposition; Appendix B. Discrete Fourier Transform; Appendix C. Difference in two samples; D. Poisson ON/OFF details; Appendix E. Multivariate Gaussian from maximum entropy.

2006 253 x 177 mm 400pp

Hardback £ 40.00 978 0 521 83657 9 (0 521 83657 3)

Prediction, Learning, and GamesNicolo Cesa-Bianchi Università degli Studi di MilanoGabor Lugosi Universitat Pompeu Fabra, Barcelona

This important new text and reference for researchers and students in machine learning, game theory, statistics and information theory offers the first comprehensive treatment of the problem of predicting individual sequences2006 253 x 177 mm 450pp 2 tables 200 exercises

Hardback £35.00 978 0 521 84108 5 0 521 84108 9

Graduate Textbook

Bayesian Logical Data Analysis for the Physical SciencesA Comparative Approach with Mathematica® SupportP. C. GregoryUniversity of British Columbia, Vancouver

Increasingly, researchers in many branches of science are coming into contact with Bayesian statistics or Bayesian probability theory. This book provides a clear exposition of the underlying concepts with large numbers of worked examples and problem sets. Background material is provided in appendices and supporting Mathematica notebooks are available.2005 247 x 174 mm 486pp 128 line diagrams 4 half-tones 74 exercises 132 figures 55 worked examples

Hardback £ 45.00 978 0 521 84150 4 (0 521 84150 X)

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An Introduction to Uncertainty in MeasurementUsing the GUM (Guide to the Expression of Uncertainty in Measurement)Les KirkupUniversity of Technology, Sydneyand Bob FrenkelNational Measurement Institute, Lindfield, Sydney

Introduction to international guidelines for calculating and expressing uncertainty (the GUM) for students and professionals in science and engineering. Emphasising the role of uncertainty in scientific and ‘everyday’ contexts, worked examples, case studies and exercises are spread throughout the text. Online resources support the book at www.cambridge.org/9780521605793.2006 247 x 174 mm 250pp 95 line diagrams 5 half-tones 30 tables 35 exercises

Hardback £ 45.00 978 0 521 84428 4 (0 521 84428 2)

Paperback £ 19.99 978 0 521 60579 3 (0 521 60579 2)

Graduate Textbook

Decisions under UncertaintyProbabilistic Analysis for Engineering DecisionsIan JordaanMemorial University of Newfoundland

This book helps the reader to understand the tradeoffs between time, costs and risk in an engineering setting, and includes a wide range of case studies and worked examples. Equally valuable for graduate students, practising engineers, designers and project managers.

‘...a very interesting approach to the treatment of uncertainty and its role in decision making.’Journal of Engineering Mechanics

2005 247 x 174 mm 688pp 250 figures

Hardback £ 65.00 978 0 521 78277 7 (0 521 78277 5)

Biostatistics and Medical StatisticsAlgebraic Statistics for Computational BiologyEdited by L. PachterUniversity of California, Berkeleyand B. SturmfelsUniversity of California, Berkeley

This book explains how computational algebra provides tools for designing new algorithms for exact, accurate results in the quantitative analysis of biological sequence data. These are applied to biological problems such as aligning genomes, finding genes and constructing phylogenies. As the first book in the exciting and dynamic area, it will be welcomed as a text for self-study or for course use.

Contents: Preface; Part I. Introduction to the Four Themes: 1. Statistics ;2. Computation; 3. Algebra; 4. Biology; Part II. Studies on the Four Themes: 5. Parametric inference; 6. Polytope propagation on graphs; 7. Parametric sequence alignment; 8. Bounds for optimal sequence alignment; 9. Inference functions; 10. Geometry of Markov chains; 11. Equations defining hidden Markov models; 12. The EM algorithm for hidden Markov models; 13. Homology mapping with Markov random fields; 14. Mutagenetic tree models; 15. Catalog of small trees; 16. The strand symmetric model; 17. Extending statistical models from trees to splits graphs; 18. Small trees and generalized neighbor-joining; 19. Tree construction using Singular Value Decomposition; 20. Applications of interval methods to phylogenetics; 21. Analysis of point mutations in vertebrate genomes; 22. Ultra-conserved elements in vertebrate genomes; Index.

2005 253 x 177 mm 432pp 100 line diagrams 5 tables 3 colour figures

Hardback £ 35.00 978 0 521 85700 0 (0 521 85700 7)

Bayesian Inference for Gene Expression and ProteomicsKim-Anh DoUniversity of TexasPeter MuellerUniversity of TexasMarina VannucciTexas A&M University

The interdisciplinary nature of bioinformatics presents many challenges in integrating concepts, methods, software, and data. The Bayesian approach allows evidence to be easily and flexibly incorporated into statistical models. This book discusses the development and application of Bayesian methods in the analysis of high-throughput data from medical and cancer research, and molecular and structural biology. A basic overview of the biological and technical principles is followed by expert reviews of Bayesian methodology, tools, and software for single group inference, group comparisons, classification and clustering, motif discovery and regulatory networks, Bayesian networks and gene interactions.Hardback £45.00 978 0 521 86092 5 (0 521 86092 X)

Introduction to Computer-Intensive Methods of Data Analysis in BiologyDerek RoffUniversity of California, Riverside

This graduate text introduces some of the most common computer-intensive methods, including Maximum Likelihood, Monte Carlo and Bayesian methods. Examples of their application using biological data are provided, along with a series of software instructions for the statistical software package S-PLUS and problems and solutions are included to aid understanding.2006 247 x 174 mm 376pp 48 line diagrams 30 tables

Hardback c.£ 65.00 978 0 521 84628 8 (0 521 84628 5)

Paperback c.£ 29.99 978 0 521 60865 7 (0 521 60865 1)

Structural Equation Modeling and Natural SystemsJames Grace

There is growing recognition that ecological systems are so complex that major advances will only come as techniques are developed for analysing networks of variables. This new textbook critically examines research methods used by ecologists, whilst posing questions about the future of multivariate methodology and how developments will advance understanding.2006 228 x 152 mm 386pp 130 line diagrams 1 half-tone 40 tables

Hardback c.£ 65.00 978 0 521 83742 2 (0 521 83742 1)

Paperback c.£ 29.99 978 0 521 54653 9 (0 521 54653 2)

New Series

Applied Multilevel AnalysisA Practical Guide for Medical ResearchersJos W. R. TwiskVU Medical Center, Amsterdam

This is a practical introduction to multilevel analysis. It is written for non-mathematicians and it explains when and how to use multilevel analysis. Many worked examples, with computer output, are given to illustrate and explain this subject. Datasets of the examples are available on the internet.Practical Guides to Biostatistics and Epidemiology

2006 247 x 174 mm 200pp 23 line diagrams 20 tables

Hardback £ 55.00 978 0 521 84975 3 (0 521 84975 6)

Paperback £ 24.99 978 0 521 61498 6 (0 521 61498 8)

6 Visit www.cambridge.org/statistics

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Textbook

Essential EpidemiologyAn Introduction for Students and Health ProfessionalsPenny WebbQueensland Institute of Medical ResearchChris BainUniversity of Queenslandand Sandi PirozzoUniversity of Queensland

An accessible, modern introduction to epidemiology for students of medicine and public health. It combines a strong public health perspective with modern methodological insights. It emphasises the fundamental principles common to all areas of epidemiology, and integrates public health and clinical epidemiology and the study of infectious and chronic diseases.

Contents: 1.Epidemiology is …; 2. How long is a piece of string? Measuring disease frequency; 3. Who, what, where and when? Finding and using public health data; 4. Watching not waiting: surveillance and epidemiological intelligence; 5. Why? Linking exposure and disease; 6. Solid foundations: research designs for public health; 7. All that glitters is not gold: the problem of error; 8. Muddied waters: the challenge of confounding; 9. Bringing it together: reading and writing papers in practice; 10. Who sank the boat? Association and causation; 11. Assembling the building blocks: reviews and their uses; 12. Outbreaks, epidemics and clusters; 13. Prevention: better than cure?; 14. Early detection: what benefits at what cost?; 15. A final word …

Essential Medical Texts for Students and Trainees

2005 246 x 189 mm 366pp 79 line diagrams 49 tables

Paperback £ 24.99 978 0 521 54661 4 (0 521 54661 3)

Second edition

Multivariable AnalysisA Practical Guide for CliniciansMitchell H. KatzUniversity of California, San Francisco

This new edition has been fully revised to build on the enormous success of its popular predecessor. It now includes new features introduced by readers’ requests including a new chapter on propensity score, more detail on clustered data and Poisson regression and a new section on analysis of variance.2006 246 x 189 mm 208pp 26 line diagrams 15 tables

Hardback £ 60.00 978 0 521 84051 4 (0 521 84051 1)

Paperback £ 27.99 978 0 521 54985 1 (0 521 54985 X)

Graduate Textbook

Study Design and Statistical AnalysisA Practical Guide for CliniciansMitchell KatzUniversity of California, San Francisco

This book takes the reader through the entire research process: choosing a question, designing a study, collecting the data, using univariate, bivariate and multivariable analysis, and publishing the results. It does so by using plain language rather than complex derivations. It focuses on the nuts and bolts of performing research.2006 246 x 189 mm 220pp 23 line diagrams

Hardback £ 55.00 978 0 521 82675 4 (0 521 82675 6)

Paperback £ 24.99 978 0 521 53407 9 (0 521 53407 0)

Statistics and Probability for Economics and Social ScienceStatistics for Real-Life Sample SurveysNon-Simple-Random Samples and Weighted DataSergey DorofeevRoy Morgan Internationaland Peter GrantRoy Morgan Research

Samples used in social and commercial surveys are usually less random than many people using them realise, or have been taught to analyse. This book introduces the challenges posed by less-than-perfect samples, giving background knowledge and practical guidance for those who have to deal with them. It is a reference for the methods and formulae needed to deal with commonly encountered situations and, above all, a source of realistic and implementable solutions. Extended data examples show the techniques at work.

Contents: Preface; 1. Sampling methods; 2. Weighting; 3. Statistical effects; 4. Significance testing; 5. Measuring relationships; Appendices; Bibliography; Index.

2006 247 x 174 mm 300pp 10 line diagrams 20 tables

Hardback £ 55.00 978 0 521 85803 8 (0 521 85803 8)

Paperback £ 24.99 978 0 521 67465 2 (0 521 67465 4)

Graduate Textbook

Applied Choice AnalysisA PrimerDavid A. HensherUniversity of SydneyJohn M. RoseUniversity of Sydneyand William H. GreeneNew York University

‘I cannot imagine a better introduction to choice modeling. The authors manage to bring a vivid, storytelling voice to this complex topic, with language that has personality and rhythm. The various interrelated concepts and procedures that constitute choice modeling come across as simple and straightforward. An amazing feat.’ Kenneth Train, University of California, Berkeley2005 247 x 174 mm 742pp 108 tables 158 figures

Hardback £ 70.00 978 0 521 84426 0 (0 521 84426 6)

Paperback £ 35.00 978 0 521 60577 9 (0 521 60577 6)

Quantitative Models and MethodsA Tour of the Social SciencesAndrew GelmanColumbia University

With sections written by prominent social scientists, this book gives an accessible, non-technical sense of how quantitative research is done in the social sciences. The reader will gain a sense of the different models and different ways of thinking in economics, history, sociology, political science and psychology.2006 228 x 152 mm 280 pages

Hardback c. £40.00

978 0 52186198 4 (0 521 86198 5)

Paperback c. £14.99 978 0 521 68003 5 (0 521 68003 4)

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Quantile RegressionRoger KoenkerUniversity of Illinois, Urbana-Champaign

Quantile regression is gradually emerging as a unified statistical methodology for estimating models of conditional quantile functions. This monograph is the first comprehensive treatment of the subject, encompassing models that are linear and nonlinear, parametric and nonparametric. The author has devoted more than 25 years of research to this topic. The methods in the analysis are illustrated with a variety of applications from economics, biology, ecology and finance. The treatment will find its core audiences in econometrics, statistics, and applied mathematics in addition to the disciplines cited above.Econometric Society Monographs, �8

2005 228 x 152 mm 366pp 63 line diagrams 13 tables 20 exercises

Hardback £ 45.00 978 0 521 84573 1 (0 521 84573 4)

Paperback £ 19.99 978 0 521 60827 5 (0 521 60827 9)

Computational and Mathematical Modeling in the Social SciencesScott de MarchiDuke University, North Carolina

Provides an overview and a critique of mathematical modeling in the social sciences. It covers the three major traditions: game theory, statistics, and computational modeling. Because there are genuine problems with the state of current research, a new framework for conducting research that integrates the three traditions is proposed. 2005 228 x 152 mm 224pp 20 line diagrams 7 tables

Hardback £ 40.00 978 0 521 85362 0 (0 521 85362 1)

Paperback £ 13.99 978 0 521 61913 4 (0 521 61913 0)

Textbook

Introductory EconometricsUsing Monte Carlo Simulation with Microsoft ExcelHumberto BarretoWabash College, Indianaand Frank HowlandWabash College, Indiana

‘Hats off to Barreto and Howland for a clearly-written text that introduces the undergraduate to data analysis and econometric techniques using Excel.’Jon M. Conrad, Cornell University

Contents: 1. Introduction; Part I. Description: 2. Correlation; 3. Pivot tables; 4. Computing regression; 5. Interpreting regression; 6. Functional form; 7. Multivariate regression; 8. Dummy variables; Part II. Inference: 9. Monte Carlo simulation; 10. Inferential statistics review; 11. Measurement box model; 12. Comparing two populations; 13. The classical econometric model; 14. The Gauss Markov theorem; 15. Understanding the standard error; 16. Hypothesis testing and confidence intervals; 17. F tests; 18. Omitted variable bias; 19. Heteroskedasticity; 20. Autocorrelation; 21. The series topics; 22. Dummy dependent variables; 23. Bootstrap; 24. Simultaneous equations.

2006 253 x 177 mm 800pp 4 tables

Hardback £ 40.00 978 0 521 84319 5 (0 521 84319 7)

Longitudinal and Panel DataAnalysis and Applications in the Social SciencesEdward W. Frees University of Wisconsin, Madison

An introduction to foundations and applications for quantitatively oriented graduate social-science students and individual researchers. Focuses on models and data that arise from repeated observations of a cross-section of individuals, households or companies.Paperback £23.99 978 0 521 53538 0 0521 53538 7

Hardback £50.00 978 0 521 82828 4 0 521 82828 7

Textbook

Matrix AlgebraKarim M. AbadirImperial College Londonand Jan R. MagnusUniversiteit van Tilburg

‘These authors have achieved the remarkable feat of writing a textbook of matrix algebra cunningly concealed as a structured sequence of exercises and worked answers. The book should prove popular with students intent on teaching themselves and with instructors who wish to set challenging and educative exercises. Recommended unequivocally to all parties.’Dr Stephen Pollock, Queen Mary CollegeEconometric Exercises, 1

2005 228 x 152 mm 488pp 9 line diagrams

Hardback £ 50.00 978 0 521 82289 3 (0 521 82289 0)

Paperback £ 22.99 978 0 521 53746 9 (0 521 53746 0)

Econometric Theory and PracticeFrontiers of Analysis and Applied ResearchEdited by Dean CorbaeUniversity of Texas, AustinSteven N. DurlaufUniversity of Wisconsin, Madisonand Bruce E. HansenUniversity of Wisconsin, Madison

These essays analyze a number of state of the art issues in econometrics, all of which Professor Peter C. B. Phillips has directly influenced through his seminal scholarly contribution. The essays are organized to cover topics in higher-order asymptotics, deficient instruments, nonstationary, LAD and quantile regression, and nonstationary panels.2006 228 x 152 mm 384pp 30 tables

Hardback £ 45.00 978 0 521 80723 4 (0 521 80723 9)

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Printed in the United Kingdom at the University Press, Cambridge April 2006