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An Introduction to Bayesian Inference in Econometrics

An Introduction to Bayesian Inference in Econometrics Reviews 265 1974] 3. Introduction to Biostatistics. By Robert R. Sokal and James F. Rohlf. San Francisco, W. H. Freeman & Co., 1973. xiii, 368 p. 9t". £4·10. (A Series of Books in Biology.) The authors' larger work on Biometry is now very well known and it is useful to compare the aims and achievements of the two books. The first was aimed at "the academic biologist ... graduate students in biological departments"; the new book is intended for "the undergraduate student of biological statistics ... requiring no more than an elementary preparation in mathematics". The range of topics covered in the new book is therefore smaller, but still goes further than some elementary texts. After an Introduction concerned particularly with the statistical frame of mind there follow chapters on Data in Biology and Descriptive Statistics. The next three chapters introduce Probability Distributions-binomial, Poisson and normal-and Estimation and Hypothesis Testing. These sections seem unnecessarily forbidding; the arguments are presented with a mathematical appearance which belies their practical relevance and is likely to prove somewhat disconcerting to the biologist. Chapters 7-10 are concerned with the analysis of variance; the single- and two-factor cases are considered, with some discussion of models http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of the Royal Statistical Society Series A (Statistics in Society) Oxford University Press

An Introduction to Bayesian Inference in Econometrics

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Copyright
© 1974 The Authors
ISSN
0964-1998
eISSN
1467-985X
DOI
10.2307/2344559
Publisher site
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Abstract

Reviews 265 1974] 3. Introduction to Biostatistics. By Robert R. Sokal and James F. Rohlf. San Francisco, W. H. Freeman & Co., 1973. xiii, 368 p. 9t". £4·10. (A Series of Books in Biology.) The authors' larger work on Biometry is now very well known and it is useful to compare the aims and achievements of the two books. The first was aimed at "the academic biologist ... graduate students in biological departments"; the new book is intended for "the undergraduate student of biological statistics ... requiring no more than an elementary preparation in mathematics". The range of topics covered in the new book is therefore smaller, but still goes further than some elementary texts. After an Introduction concerned particularly with the statistical frame of mind there follow chapters on Data in Biology and Descriptive Statistics. The next three chapters introduce Probability Distributions-binomial, Poisson and normal-and Estimation and Hypothesis Testing. These sections seem unnecessarily forbidding; the arguments are presented with a mathematical appearance which belies their practical relevance and is likely to prove somewhat disconcerting to the biologist. Chapters 7-10 are concerned with the analysis of variance; the single- and two-factor cases are considered, with some discussion of models

Journal

Journal of the Royal Statistical Society Series A (Statistics in Society) – Oxford University Press

Published: Dec 5, 2018

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