ISBN: 9781420093438
ID: 9781420093438
Filling a gap in current Bayesian theory, Statistical Inference: An Integrated Bayesian/Likelihood Approach presents a unified Bayesian treatment of parameter inference and model comparisons that can be used with simple diffuse prior specifications. This novel approach provides new solutions to difficult model comparison problems and offers direct Bayesian counterparts of frequentist t-tests and other standard statistical methods for hypothesis testing. After an overview Filling a gap in current Bayesian theory, Statistical Inference: An Integrated Bayesian/Likelihood Approach presents a unified Bayesian treatment of parameter inference and model comparisons that can be used with simple diffuse prior specifications. This novel approach provides new solutions to difficult model comparison problems and offers direct Bayesian counterparts of frequentist t-tests and other standard statistical methods for hypothesis testing. After an overview of the competing theories of statistical inference, the book introduces the Bayes/likelihood approach used throughout. It presents Bayesian versions of one- and two-sample t-tests, along with the corresponding normal variance tests. The author then thoroughly discusses the use of the multinomial model and noninformative Dirichlet priors in "model-free" or nonparametric Bayesian survey analysis, before covering normal regression and analysis of variance. In the chapter on binomial and multinomial data, he gives alternatives, based on Bayesian analyses, to current frequentist nonparametric methods. The text concludes with new goodness-of-fit methods for assessing parametric models and a discussion of two-level variance component models and finite mixtures. Emphasizing the principles of Bayesian inference and Bayesian model comparison, this book develops a unique methodology for solving challenging inference problems. It also includes a concise review of the various approaches to inference. Textbooks New, Books~~Mathematics~~Probability & Statistics~~Bayesian Analysis, Statistical-Inference~~Murray-Aitkin, 999999999, Statistical Inference: An Integrated Bayesian/Likelihood Approach, Murray Aitkin, 1420093436, Taylor & Francis, , , , , Taylor & Francis
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ISBN: 9781420093438
ID: 9253651
Filling a gap in current Bayesian theory, Statistical Inference: An Integrated Bayesian/Likelihood Approach presents a unified Bayesian treatment of parameter inference and model comparisons that can be used with simple diffuse prior specifications. This novel approach provides new solutions to difficult model comparison problems and offers direct Bayesian counterparts of frequentist t-tests. Filling a gap in current Bayesian theory, Statistical Inference: An Integrated Bayesian/Likelihood Approach presents a unified Bayesian treatment of parameter inference and model comparisons that can be used with simple diffuse prior specifications. This novel approach provides new solutions to difficult model comparison problems and offers direct Bayesian counterparts of frequentist t-tests and other standard statistical methods for hypothesis testing. After an overview of the competing theories of statistical inference, the book introduces the Bayes/likelihood approach used throughout. It presents Bayesian versions of one- and two-sample t-tests, along with the corresponding normal variance tests. The author then thoroughly discusses the USE of the multinomial model and noninformative Dirichlet priors in "model-free" or nonparametric Bayesian survey analysis, before covering normal regression and analysis of variance. In the chapter on binomial and multinomial data, he gives alternatives, based on Bayesian analyses, to current frequentist nonparametric methods. The text concludes with new goodness-of-fit methods for assessing parametric models and a discussion of two-level variance component models and finite mixtures. Emphasizing the principles of Bayesian inference and Bayesian model comparison, this book develops a unique methodology for solving challenging inference problems. It also includes a concise review of the various approaches to inference. Books, Science and Geography~~Mathematics~~Probability & Statistics, Statistical Inference~~Book~~9781420093438~~Murray Aitkin, , , , , , , , , ,, [PU: CRC Press]
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ISBN: 9781420093438
ID: 6323167
Filling a gap in current Bayesian theory, Statistical Inference: An Integrated Bayesian/Likelihood Approach presents a unified Bayesian treatment of parameter inference and model comparisons that can be used with simple diffuse prior specifications. This novel approach provides new solutions to difficult model comparison problems and offers direct Bayesian counterparts of frequentist t-tests and other standard statistical methods for hypothesis testing. After an overview of the competing theories of statistical inference, the book introduces the Bayes/likelihood approach used throughout. It presents Bayesian versions of one- and two-sample t-tests, along with the corresponding normal variance tests. The author then thoroughly discusses the use of the multinomial model and noninformative Dirichlet priors in "model-free" or nonparametric Bayesian survey analysis, before covering normal regression and analysis of variance. In the chapter on binomial and multinomial data, he gives alternatives, based on Bayesian analyses, to current frequentist nonparametric methods. The text concludes with new goodness-of-fit methods for assessing parametric models and a discussion of two-level variance component models and finite mixtures. Emphasizing the principles of Bayesian inference and Bayesian model comparison, this book develops a unique methodology for solving challenging inference problems. It also includes a concise review of the various approaches to inference. Statistical Inference: An Integrated Bayesian/Likelihood Approach Aitkin, Murray, CRC Press
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Statistical Inference: An Integrated Bayesian/Likelihood Approach (Chapman & Hall/CRC Monographs on Statistics & Applied Probability) - hardcover
ISBN: 1420093436
[SR: 2608432], Hardcover, [EAN: 9781420093438], Chapman and Hall/CRC, Chapman and Hall/CRC, Book, [PU: Chapman and Hall/CRC], Chapman and Hall/CRC, Sets out an integrated approach to statistical inference using the likelihood function as the primary measure of evidence for statistical model parameters, and for the statistical models themselves. This book provides both an alternative to standard Bayesian inference and the foundation for a course sequence in modern Bayesian theory., 278385, Probability & Statistics, 278320, Mathematics, 57, Science & Nature, 1025612, Subjects, 266239, Books, 922942, Maths, 922518, Chaos, 409678, Coding & Cryptology, 922944, Recreational, 922868, Popular Science, 57, Science & Nature, 1025612, Subjects, 266239, Books, 564334, Scientific, Technical & Medical, 564336, Agriculture & Farming, 564338, Astronomy & Cosmology, 564340, Biology, 564342, Chemistry, 564344, Earth Sciences, 564346, Engineering, 570820, Environment, 564350, Geology, 564352, Mathematics, 564356, Medicine & Nursing, 564354, Physics, 564348, Research & Development, 564358, Veterinary Science, 1025612, Subjects, 266239, Books
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ISBN: 9781420093438
Hardback, [PU: Taylor & Francis Ltd], Sets out an integrated approach to statistical inference using the likelihood function as the primary measure of evidence for statistical model parameters, and for the statistical models themselves. This book provides both an alternative to standard Bayesian inference and the foundation for a course sequence in modern Bayesian theory., Probability & Statistics
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Title: | Statistical Inference: An Integrated Bayesian/Likelihood Approach |
ISBN: | 1420093436 |
Details of the book - Statistical Inference: An Integrated Bayesian/Likelihood Approach
EAN (ISBN-13): 9781420093438
ISBN (ISBN-10): 1420093436
Hardcover
Publishing year: 2010
Publisher: CRC PR INC
236 Pages
Weight: 0,567 kg
Language: eng/Englisch
Book in our database since 25.07.2010 17:59:14
Book found last time on 31.03.2016 17:59:13
ISBN/EAN: 1420093436
ISBN - alternate spelling:
1-4200-9343-6, 978-1-4200-9343-8
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