Books on categorical data analysis (log-

linear, logit, etc.), count data analysis, and life history analysis

• Long, j. Scott (1997) Regression models for categorical and limited dependent variables. Sage Publications, Thousand Oaks, Ca. (Advanced Quantitative Techniques in the Social Science Series no. 7).– Data + sample programs (GAUSS): http://www.indiana.edu/~jsl650

and http://www.sagepub.com/sagepage/authors.htm

• Agresti, A. (1996) An introduction to categorical data analysis. Wiley, New York.– Data available from StatLib: http://lib.stat.cmu.edu/datasets/agresti

• Agresti, A. (1990) Categorical data analysis. Wiley, New York.

• Bishop, Y.M.M., S.E. Fienberg and P.W. Holland (1975) Discrete multivariate analysis: theory and practice. M.I.T. Press, Cambridge, Mass.

General

• Haberman, S.J. (1979) Analysis of qualitative data. Vol 2. New developments. New York: Academic Press.

• Payne, C. (1977) The log-linear model for contingency tables. In: C.O. Muircheartaigh and C. Payne eds. The analysis of survey data. Vol 2: Model fitting, Wiley, New York, pp. 105-144.

• Aldrich, J.H. and F.D. Nelson (1984) Linear probability, logit, and probit models. Sage Publications, Beverly Hills.

• Sobel, M.A. (1995) The analysis of contingency tables. In: G. Arminger, C.C. Clogg and M.E. Sobel eds. Handbook of statistical modeling for the social and behavioral sciences. Plenum Press, New York, pp. 251-310.

• Knoke, D. and P.J. Burke (1980) Log-linear models. Sage University Paper np. 20, Sage Publications, Newbury Park. (introduction)

General

• Hagenaars, J.A. (1990) Categorical longitudinal data. Log-linear, panel, trend, and cohort analysis. Sage Publications, Newbury Park.

• Liang, K.Y., S.L. Zeger and B. Qaqish (1992) Multivariate regression analysis for categorical data (with discussion). Journal of the Royal Statistical Society, Series B, 3-40.

• Clayton, D. and M. Hills (1993) Statistical models in epidemiology. Oxford University Press, Oxford.

• Selvin, S. (1991) Statistical analysis of epidemiological data. Oxford University Press, Oxford (Second edition 1996?)

• Le, C.T. (1998) Applied categorical data analysis. Wiley, New York (Wiley Series in Probability and Statistics)

General

Geography

• Upton, G.J.G. and B. Fingleton (1985) Spatial data analysis by example. Vol I. Wiley, Chichester [log-linear models]

• Upton, G.J.G. and B. Fingleton (1989) Spatial data analysis by example. Vol II. Wiley, Chichester[log-linear models]

• Wrigley, N. (1985) Categorical data analysis for geographers and environmental scientists. Longman, London (Chapter 11 on ‘Integration’: GLMs)

• O’Brien, L. (1992) Introducing quantitative geography. Measurement, methods and generalized linear models. Routledge, London.

• McCullagh, P. and J.A. Nelder (1989) Generalized linear models. 2 nd Edition, Chapman and Hall, London

• Aitkin, M., D. Anderson, B. Francis and J. Hinde (1989) Statistical modelling in GLIM, Clarendon Press, Oxford.

Generalized linear models

• Giele, J.Z. and G.H. Elder Jr. eds. (1998) Methods of life course research.Qualitative and quantitative approaches. Sage Publications, Thousand Oaks, Ca.

• Yamaguchi, K.(1991) Event history analysis. Sage Publications, Newbury Park, Ca.

• Vermunt, J.K. (1997) Log-linear models for event histories. Sage Publications, Thousand Oaks, Ca. (Advanced Quantitative Techniques in the Social Science Series no. 8).– LEM: life history analysis with latent variables and missing

data; LEM will be integrated in SPSS.• For info: http://cwis.kub.nl/~fsw_1/mto/

Life histories; Event histories

• Blossfeld, H.P. and G. Rohwer (1995) Techniques of event history modeling. New approaches to causal analysis.

Lawrence Erlbaum, Mawah, New Jersey. – The book is about Transition Data Analysis (TDA), a computer programme

written by dr. G. Rohwer. Information on updates is available from http://www.stat.ruhr‑uni‑bochum.de/

• Petersen, T. (1995) Analysis of event histories. In: G. Arminger, C.C.Clogg and M.E. Sobel eds. Handbook of statistical modeling for the social and behavioral sciences. Plenum Press, New York, pp. 453-517.

• Hosmer, D.W.Jr. and S. Lemeshow (1999) Applied survival analysis. Regression modeling of time to event data. Wiley, New York (Wiley Series in Probability and Statistics).

Life histories; Event histories

• Courgeau, D. and E. Lelièvre (1992) Event history analysis in demography. Clarendon Press, Oxford.

• Trussell, J., R. Hankinson and J. Tilton eds. (1992) Demographic applications of event history analysis. Clarendon Press, Oxford.

Demography

• Fotheringham, A.S. and M.E. O’Kelly (1989) Spatial interaction models: formulations and applications. Kluwer Academic Publishers, Dordrecht.

• Sen, A. and T. Smith (1995) Gravity models of spatial interaction behavior. Springer Verlag, Berlin.

Spatial data and spatial interaction

• Amemiya, T. (1985) Advanced econometrics. MIT Press, Cambridge, Mass.

• Cameron, A.C. and P.K. Trivedi (1998) Regression analysis of count data. Cambridge University Press, Cambridge. In series: Econometric Society Monographs.– Data + programs: http://www.econ.ucdavis.edu/count.html

• Winkelmann, R. (1997, 1994) Count data models: econometric theory and application to labor mobility. Springer Verlag, Berlin.

• Lancaster, T. (1990) The econometric analysis of transition data. Cambridge University Press, New York

Econometrics

• Little, R.J. and D.B. Rubin (1987) Statistical analysis with missing data. New York: Wiley.

• Little, R.J. and N. Schenker (1995) Missing data. In: G. Arminger, C.C. Clogg and M.E. Sobel eds. Handbook of statistical modeling for the social and behavioral sciences. New York: Plenum Press.

• Golan, A., G. Judge and D. Miller (1996) Maximum entropy econometrics. Robust estimation with limited data. Chichester: Wiley.

• McLachlan, G.J. and T. Krishnan (1997) The EM algorithm and extensions. New York: Wiley.

• Schafer, J.L.(1997) Analysis of incomplete multivariate data. Chapman and Hall, London.

Incomplete data: general

• Vermunt, J.K. (1997) Log-linear models for event histories. Sage Publications, Thousand Oaks, Ca. (Advanced Quantitative Techniques in the Social Science Series no. 8).– LEM: life history analysis with latent variables and missing

data; LEM will be integrated in SPSS.• For info: http://cwis.kub.nl/~fsw_1/mto/

• Clogg, C.C. and A. von Eye eds. (1994) Latent variable analysis. Sage Publications, Thousand Oaks, Ca.

• Hagenaars, J.A. (1993) Loglinear models with latent variables. Sage University Paper no. 94, Sage Publications, Newbury Park, Ca.

Incomplete datalatent variables, mixture models

• Birch, M.W. (1963) Maximum likelihood in three-way contingency tables. Journal of the Royal Statistical Society, Series B, 25:220-233. Log-linear models.

• Kruithof, J. (1937) Calculation of telephone traffic. De Ingenieur, 52:E15-E25. English translation by UK Post Office Research Department (No. 2663), London: Dollis Hill. IPF

• Deming, W.E. and F.E. Stephan (1940) On a least squares adjustment of a sampled frequency table when the expected marginal totals are known. Annals of Mathematical Statistics, 11:427-444. IPF

• Dempster, A.P., M.M. Laird and D.B. Rubin (1977) Maximum likelihood from incomplete data via the EM algorithm (with discussion). Journal of the Royal Statistical Society B, 39:1-38.

Classics

• Nelder, J.A. and R.W.M. Wedderburn (1972) Generalized linear models. Journal of the Royal Statistical Society, Series A, 135:370-384.

• Laird, N. and D. Olivier (1981) Covariance analysis of censored survival data using log-linear analysis techniques. Journal of the American Statistical Association, 76(374): 231-240. Log-rate model

• Holford, T.R. (1980) The analysis of rates and survivorship using log-linear models. Biometrics, 36:299-306. Log-rate model

Classics

Statistics on the Web

Chance News

• Newsletter on risk and uncertainty http://www.darmouth.edu/~chance/chance_news/recent_news/

General

• Science on the Web: A guide to over 500 Web sites: book by E.J. Renehan (1996)

http://www.springer-ny.com/compsci/renehan/0-387-94795-7.html

• Internat. Stat. Institute (ISI): http://www.cbs.nl/isi

• Statlib: http://lib.stat.cmu.edu/

General• The Probability Web:

http://www.maths.uq.oz.au/~pkp/probweb/intro.html

– Links to WWW Virtual Library, etc.

• Hyperstat online: http://www.ruf.rice.edu/~lane/hyperstat/contents.html

• Info on statistical packages: MIDAShttp://midas.ac.uk/stats/– Packages: SPSS, BMDP, SAS, STATA, S-PLUS,

GAUSS, MLn, NAG, TSP, LIMDEP, GLIM, etc. – Includes data sets

Probability distributions

• http://www.marketsys.com/pde.htm– Introduction to distributions (def., etc.)

• http://www.astro.virginia.edu/~eww6n/math/– graph, formula, and math. characteristics (e.g.

moments) for Bernoulli, Binomial, Geometric, Negative Binomial, etc.

Interactive statistical calculation:

http://members.aol.com/johnp71/javastat.html

Collection of programs:

http://www.stat.wisc.edu/statistics/software.html

Textbooks

• Virtual Laboratories in Probability and Statisticshttp://www.math.uah.edu/~stat (univ. Alabama in Huntsville)

– Basic probability and statistics (e.g. definitions, problems, distributions)

– Relation exponential - Gamma - Poisson, and Poisson - Binomial (cf. The Poisson Process)

– Simulation of experiments!– Data sets– Tables – Resources on the Web

Textbooks

• UCLA Statistics Textbook (Jan de Leeuw): http://www.stat.ucla.edu/textbook/

– Includes Statistical Calculators for e.g. distributions (+ plots)

• Links to other electronic textbooks, electronic journals, software, data and code archives: http://www.stat.ruhr-uni-bochum.de/links.html (website maintained by G. Rohwer and U. Poetter)

• List of short courses: http://www.statistics.com/courses.html

Data

• United Nations: http://www.unece.org/stats/data.htm

• UNECE: European Fertility Survey http://www.unece.org/deap/pau/ffs/f_h_3.htm

• Inter-University Consortium for Political and Social Research, Univ. Michigan: http://www.icpsr.umich.edu/

• NIWI: http://www.niwi.knaw.nl/

Data

• Census Bureau: http://www.ciesin.org/datasets/us-demog/stp-home.html

e.g. migration files (STP28): county to county migration

• Berinstein, P. (1998) Finding statistics online. Information Today, Inc., Medford, N.J. (www.infotoday.com)

Spatial interaction models

• http://www.nr.usu.edu/~sanduku/dissertation/outline/node22.html (published traffic and spatial interaction models)

Virtual Library forDemography and Population Studies

• http://coombs.anu.edu.au/ResFacilities/DemographyPage.html

– Very extensive coverage (Australian National Univ.)

• Demographic institutions and data sets: http://www.nidi.nl/links/nidi6400.html