Datasets for Statistical Analysis: Books

• Welcome
• Datasets from books
  • Chatterjee et al.
  • Dunn and Smyth
  • Hand et al.
  • Hipel and McLeod
  • Manly
  • Moore, 2nd edition
  • Myers
  • Nolan and Speed
  • Peck, Haugh and Goodman
  • Weisberg
  • Dobson
• Techniques index
• Applications index
• Reported statistics

Data sets from books

• Chatterjee, Samprit, Handcock, Mark S and Simonoff, Jeffrey S. (1995). A Casebook for a First Course in Statistics and Data Analysis, New York: John Wiley and Sons.
• Dunn and Smyth Generalized linear models, forthcoming from Springer.
• Hand, DJ, Daly, F, Lunn, AD, McConway, KJ and Ostrowski, E (1994). A Handbook of Small Data Sets, London: Chapman and Hall.
  • The original datasets
  • A list of errors I have found in Hand et al.
  • Some datasets ready for use in R and S-Plus (and other packages also).
• Hipel and McLeod (1984). Time Series Modelling of Water Resources and Environmental Systems, Elsevier.
• Manly, Bryan FJ (1994). Multivariate Statistical Methods second edition, London: Chapman and Hall.
• Moore, David S (1999). The Basic Practice of Statistics second edition, New York: WH Freeman and Company.
• Myers, Raymond H (1990). Classical and Modern Regression with Applications, California: Duxbury Press.
• Nolan, Deborah and Speed, Terry (2001). Stat Labs: Mathematical statistics through applications, Springer.
• Peck, Roxy, Haugh, Larry D and Goodman, Arnold (1998). Statistical case studies: A collaboration between academe and industry, American Statistical Association and the Society for Industrial and Applied Mathematics.
• Weisberg, Sandford (1985). Applied Linear Regression second edition, New York: John Wiley and Sons.
• Dobson, Annette (2001). An Introduction to Generalized Linear Models, second edition. Chapman and Hall.

Please contact me if you have any comments, questions, or submissions. Please be aware, however, that I have prepared this site primarily for my own benefit, but are happy if you find it useful also.