Applied Bayesian statistics : with R and OpenBUGS examples
This book is based on over a dozen years teaching a Bayesian Statistics course. The material presented here has been used by students of different levels and disciplines, including advanced undergraduates studying Mathematics and Statistics and students in graduate programs in Statistics, Biostatis...
সংরক্ষণ করুন:
| প্রধান লেখক: | |
|---|---|
| বিন্যাস: | Livre numérique |
| ভাষা: | Anglais |
| প্রকাশিত: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| সংস্করন: | 1st ed. 2013. |
| মালা: | Springer Texts in Statistics
98 |
| অনলাইন ব্যবহার করুন: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| টীকা: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Applied Bayesian statistics, with R and OpenBUGS examples, Mary Kathryn Cowles, New York, Springer, 2013, 1 vol. (xiv-232 p.), Springer texts in statistics, 978-1-4614-5695-7 • Applied Bayesian statistics, with R and OpenBUGS examples, Mary Kathryn Cowles, New York, Springer, 2013, 1 vol. (xiv-232 p.), Springer texts in statistics, 978-1-4614-5695-7 • Applied Bayesian Statistics, Texte imprimé, 9781461456971 • Applied Bayesian Statistics, Texte imprimé, 9781489997043 |
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| 100 | 1 | |a Cowles, Mary Kathryn, |d 19. | |
| 245 | 1 | 0 | |a Applied Bayesian statistics : |b with R and OpenBUGS examples |c by Mary Kathryn Cowles. |
| 250 | |a 1st ed. 2013. | ||
| 260 | |a New York, NY : |b Springer New York. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Springer Texts in Statistics |v 98 |x 2197-4136 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a What is Bayesian statistics? Review of probability Introduction to one-parameter models Inference for a population proportion Special considerations in Bayesian inference Other one-parameter models and their conjugate priors More realism please: Introduction to multiparameter models Fitting more complex Bayesian models: Markov chain Monte Carlo Hierarchical models, and more on convergence assessment Regression and hierarchical regression models Model Comparison, Model Checking, and Hypothesis Testing References Index | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a This book is based on over a dozen years teaching a Bayesian Statistics course. The material presented here has been used by students of different levels and disciplines, including advanced undergraduates studying Mathematics and Statistics and students in graduate programs in Statistics, Biostatistics, Engineering, Economics, Marketing, Pharmacy, and Psychology. The goal of the book is to impart the basics of designing and carrying out Bayesian analyses, and interpreting and communicating the results. In addition, readers will learn to use the predominant software for Bayesian model-fitting, R and OpenBUGS. The practical approach this book takes will help students of all levels to build understanding of the concepts and procedures required to answer real questions by performing Bayesian analysis of real data. Topics covered include comparing and contrasting Bayesian and classical methods, specifying hierarchical models, and assessing Markov chain Monte Carlo output. Mary Kathryn (Kate) Cowles taught Suzuki piano for many years before going to graduate school in Biostatistics. Her research areas are Bayesian and computational statistics, with application to environmental science. She is on the faculty of Statistics at The University of Iowa | ||
| 776 | 0 | |0 168414473 |t Applied Bayesian statistics |o with R and OpenBUGS examples |f Mary Kathryn Cowles |c New York |n Springer |d 2013 |p 1 vol. (xiv-232 p.) |s Springer texts in statistics |z 978-1-4614-5695-7 | |
| 776 | 0 | |0 168414473 |t Applied Bayesian statistics |o with R and OpenBUGS examples |f Mary Kathryn Cowles |c New York |n Springer |d 2013 |p 1 vol. (xiv-232 p.) |s Springer texts in statistics |z 978-1-4614-5695-7 | |
| 776 | 0 | |t Applied Bayesian Statistics |b Texte imprimé |z 9781461456971 | |
| 776 | 0 | |t Applied Bayesian Statistics |b Texte imprimé |z 9781489997043 | |
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