Titlebook: Selected Topics in Manufacturing; AITeM Young Research Elisabetta Ceretti,Tullio Tolio Book 2021 The Editor(s) (if applicable) and The Auth

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ed 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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Andrea Abeni,Paola Serena Ginestra,Aldo Attanasioed 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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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 kind

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Niccolò Grossi,Lorenzo Morelli,Antonio Scippan 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