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Titlebook: Introduction to Probability Simulation and Gibbs Sampling with R; Eric A. Suess,Bruce E. Trumbo Textbook 2010 Springer Science+Business Me

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書目名稱Introduction to Probability Simulation and Gibbs Sampling with R
編輯Eric A. Suess,Bruce E. Trumbo
視頻videohttp://file.papertrans.cn/475/474059/474059.mp4
概述Probability simulation using R inlcuding the simulations of the Law.of Large numbers and the Central Limit Theorem.Introduces the most common methods of Monte Carlo integration using R..Gibbs sampling
叢書名稱Use R!
圖書封面Titlebook: Introduction to Probability Simulation and Gibbs Sampling with R;  Eric A. Suess,Bruce E. Trumbo Textbook 2010 Springer Science+Business Me
描述The first seven chapters use R for probability simulation and computation, including random number generation, numerical and Monte Carlo integration, and finding limiting distributions of Markov Chains with both discrete and continuous states. Applications include coverage probabilities of binomial confidence intervals, estimation of disease prevalence from screening tests, parallel redundancy for improved reliability of systems, and various kinds of genetic modeling. These initial chapters can be used for a non-Bayesian course in the simulation of applied probability models and Markov Chains. Chapters 8 through 10 give a brief introduction to Bayesian estimation and illustrate the use of Gibbs samplers to find posterior distributions and interval estimates, including some examples in which traditional methods do not give satisfactory results. WinBUGS software is introduced with a detailed explanation of its interface and examples of its use for Gibbs sampling for Bayesian estimation..No previous experience using R is required. An appendix introduces R, and complete R code is included for almost all computational examples and problems (along with comments and explanations). Notewor
出版日期Textbook 2010
關(guān)鍵詞Bayesian estimation; Factor; Gibbs sampling; Simulation of Markov chains; WinBUGS; biostatistics; integrat
版次1
doihttps://doi.org/10.1007/978-0-387-68765-0
isbn_softcover978-0-387-40273-4
isbn_ebook978-0-387-68765-0Series ISSN 2197-5736 Series E-ISSN 2197-5744
issn_series 2197-5736
copyrightSpringer Science+Business Media, LLC 2010
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Use R!http://image.papertrans.cn/i/image/474059.jpg
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Textbook 2010and finding limiting distributions of Markov Chains with both discrete and continuous states. Applications include coverage probabilities of binomial confidence intervals, estimation of disease prevalence from screening tests, parallel redundancy for improved reliability of systems, and various kind
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2197-5736 n methods of Monte Carlo integration using R..Gibbs samplingThe first seven chapters use R for probability simulation and computation, including random number generation, numerical and Monte Carlo integration, and finding limiting distributions of Markov Chains with both discrete and continuous stat
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Textbook 2010ed explanation of its interface and examples of its use for Gibbs sampling for Bayesian estimation..No previous experience using R is required. An appendix introduces R, and complete R code is included for almost all computational examples and problems (along with comments and explanations). Notewor
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Eric A. Suess,Bruce E. Trumbo is knowledgeable about the status of critical psychology around the world. The expert contributors will summarize current critical-psychologicalknowledge and discuss significant topics from a global perspective. .978-1-4614-5583-7
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