Description
Book SynopsisNo one is better placed than D. R. Cox to give the comprehensive, balanced account of the theory of statistical inference, its main ideas and controversies, that is now needed. This book is for every serious user or student of statistics - for anyone serious about the scientific understanding of uncertainty.
Trade Review'A deep and beautifully elegant overview of statistical inference, from one of the towering figures who created modern statistics. This book should be essential reading for all who call themselves 'statistician'.' David Hand, Imperial College London
'The explanations of key concepts are written so clearly … that they may be understood even if the mathematical details are skipped.' MAA Online
'The text is very well written and gives a balanced view of the frequentist and Bayesian notions of probability, without favouring one over the other.' Journal of Applied Statistics
'… ideally suited for statisticians at all levels who want to refresh their own understanding of the theory of statistical inference without having to wade through theorems and proofs.' Biometrics
'This is a great book by a great statistician. Buy it and read it.' Journal of the American Statistical Association
Table of ContentsPreface; 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.
