Introduction to Applied Bayesian Statistics and Estimation for Social Scientists

Scott M. Lynch

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Language: English

Published by Springer, Springer Nov 2010, 2010

1441924345 / 9781441924346

Series: Book 11 of 40 - Statistics for Social and Behavioral Sciences

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This item is printed on demand - Print on Demand Titel. Neuware -This book provides an introduction to the Bayesian approach to statistical analysis of data, written at a level that is accessible to a social science audience. The book covers the Bayesian approach from model development through the development and implementation of programs to estimate the model, through summation and interpretation of the output. The first part provides a detailed introduction to mathematical statistics and the Bayesian approach to statistics, as well as a thorough explanation of the rationale for using simulation methods to construct summaries of posterior distributions. Markov chain Monte Carlo (MCMC) methods-including the Gibbs sampler and the Metropolis-Hastings algorithm-are then introduced as general methods for simulating samples from distributions. Extensive discussion of programming Markov chain Monte Carlo algorithms, monitoring their performance, and improving them is provided before turning to the larger examples involving real social science models and data.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 388 pp. Englisch.…

Seller Inventory # 9781441924346

Title
Introduction to Applied Bayesian Statistics and Estimation for Social Scientists
Author
Scott M. Lynch
Publisher
Springer, Springer Nov 2010
Publication year
2010
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
1441924345
ISBN 13
9781441924346
Item weight
587 grams
Dimensions
235x155x21 mm
Series
Book 11 of 40: Statistics for Social and Behavioral Sciences

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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AbeBooks seller since January 23, 2017

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