Principles of Statistical Inference
By (author) D. R. Cox
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Principles of Statistical Inference by D. R. Cox
Book DescriptionIn 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. An appendix gives a more personal assessment of the merits of different ideas. The content ranges from the traditional to the contemporary. While specific applications are not treated, the book is strongly motivated by applications across the sciences and associated technologies. The mathematics is kept as elementary as feasible, though previous knowledge of statistics is assumed. 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.
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Book DetailsISBN: 9780521866736
(228mm x 152mm x 17mm)
Imprint: Cambridge University Press
Publisher: Cambridge University Press
Publish Date: 10-Aug-2006
Country of Publication: United Kingdom
Books By Author D. R. Cox
Case-Control Studies, Hardback (March 2014)
Covers the fundamentals of case-control studies including important recent developments, with a focus on statistical analysis.
Principles of Applied Statistics, Hardback (July 2011)
Cox and Donnelly lay out the concrete, usable principles that underpin the successful application of statistics.
Principles of Statistical Inference, Paperback (August 2006)
A comprehensive, balanced account of the theory of statistical inference, its main ideas and controversies.
Multivariate Dependencies, Hardback (March 1996)» View all books by D. R. Cox
This volume describes methods for the analysis of relations between a set of variables, with the emphasis mainly on observational studies in the social sciences. Also examined is the role of intermediate variables serving as responses to some variables and as explanatory to others.
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Author Biography - D. R. Cox
D. R. Cox is one of the world's preeminent statisticians. Author or co-author of sixteen books and roughly 250 papers, his work on the proportional hazards regression model is one of the most-cited and most influential papers in modern statistics.
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