Principles of Statistical Inference 1st Edition by D. R. Cox (PDF)

Description

In 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.

User’s Reviews

Reviews from Amazon users which were colected at the time this book was published on the website:

⭐A bit dry, but pretty informative

⭐Must-read for anybody interested in statistics

⭐I am not going to comment about the book, I am just asking amazon to fix problem of equations in kindle edition, since they are not correctly shown in my kindle 2.

⭐If you are not D.R. Cox himself, you will probably not understand this book. But I assume you are not Dr. Cox, so probably not wirth buying this book.

⭐The author summarizes all the important theories and debates concerning statistical inference in this small book in a very clear and concise manner. Moreover each section also includes a very balanced comparison between different approaches.In fact one could purchase this book only because of the fact that it is written by D.R.Cox, a real veteran of statistics who profoundly contributed to the field.Given these qualities Cox’s book should be considered as an essential item for any theory oriented statistician.

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