Principles of Statistical Inference
Autor D. R. Coxen Limba Engleză Paperback – 9 aug 2006
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Cambridge University Press – 9 aug 2006 | 353.20 lei 6-8 săpt. | |
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Specificații
ISBN-13: 9780521685672
ISBN-10: 0521685672
Pagini: 236
Ilustrații: 5 figures
Dimensiuni: 152 x 229 x 13 mm
Greutate: 0.39 kg
Editura: Cambridge University Press
Colecția Cambridge University Press
Locul publicării:Cambridge, United Kingdom
ISBN-10: 0521685672
Pagini: 236
Ilustrații: 5 figures
Dimensiuni: 152 x 229 x 13 mm
Greutate: 0.39 kg
Editura: Cambridge University Press
Colecția Cambridge University Press
Locul publicării:Cambridge, United Kingdom
Cuprins
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.
Recenzii
'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
'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
Descriere
A comprehensive, balanced account of the theory of statistical inference, its main ideas and controversies.