# 2006 PrinciplesOfStatisticalInference

- (Cox, 2006) ⇒ David R. Cox. (2006). “Principles of Statistical Inference." Cambridge University Press. ISBN:9780521685672

**Subject Headings:** Statistical Inference.

## Notes

- Google Books Key words and phrases: Frequentist, Null Hypothesis, Exponential Family, Likelihood Function, Covariance Matrix, Asymptotic Theory, Sufficient Statistic, Posterior Distribution, Poisson Distribution, Multinomial Distribution, Maximum Likelihood Estimate, Prior Distribution, Laplace Expansion, Multivariate Normal Distribution, Linear Model, Chi-Squared Distribution, Ancillary Statistic, Confidence Interval, EM Algorithm, Completely Randomized Design.

## Quotes

### Book overview

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.,

Author | volume | Date Value | title | type | journal | titleUrl | doi | note | year | |
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2006 PrinciplesOfStatisticalInference | David R. Cox | Principles of Statistical Inference | http://books.google.com/books?id=EMYWpoVn7vcC |