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Chapman & Hall/CRC
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GELMAN A. ; J. B. CARLIN ; H. S. STERN ; D. B. RUBIN | NY : Chapman & Hall/CRC | Texts in Statistical Science | 2003Incorporating new and updated information, this second edition of THE bestselling text in Bayesian data analysis continues to emphasize practice over theory, describing how to conceptualize, perform, and critique statistical analyses from a Baye[...]Livre
D. BOHNING ; P. G. M. VAN DER HEIJDEN ; J. BUNGE | NY : Chapman & Hall/CRC | Interdisciplinary Statistics Series | 2017Capture-recapture methods have been used in biology and ecology for more than 100 years. However, it is only recently that these methods have become popular in the social and medical sciences to estimate the size of elusive populations such as i[...]Livre
Offers an outstanding practical survey of statistical methods extended from the regression model. Presents all of the linear model extensions using a common framework, making estimation, inference, and model building and checking clearly underst[...]Livre
Evidence from randomized controlled clinical trials is widely accepted as the only sound basis for assessing the efficacy of new medical treatments. Statistical methods play a key role in all stages of these trials, including their justification[...]Livre
Focuses on the practice of regression and analysis of variance using the freely available R software. Addresses model uncertainty - a topic typically not discussed in this type of book. Provides many applied examples from the fields of medicine,[...]Livre
Using theory, applications, and examples of inferences, Niche Modeling: Predictions from Statistical Distributions demonstrates how to conduct and evaluate niche modeling projects in any area of application. It features a series of theoretical a[...]