Bayesian Methods for Statistical Analysis
Bayesian methods for statistical analysis is a book on statistical methods for analysing a wide variety of data. The book consists of 12 chapters, starting with basic concepts and covering numerous topics, including Bayesian estimation, decision theory, prediction, hypothesis testing, hierarchical m...
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| Главный автор: | |
|---|---|
| Формат: | Online |
| Язык: | английский |
| Опубликовано: |
ANU Press
2021
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| Предметы: | |
| Online-ссылка: | 611011 |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
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| _version_ | 1869529267757383680 |
|---|---|
| author | Puza, Borek |
| author_browse | Puza, Borek |
| author_facet | Puza, Borek |
| author_sort | Puza, Borek |
| collection | Directory of Open Access Books |
| description | Bayesian methods for statistical analysis is a book on statistical methods for analysing a wide variety of data. The book consists of 12 chapters, starting with basic concepts and covering numerous topics, including Bayesian estimation, decision theory, prediction, hypothesis testing, hierarchical models, Markov chain Monte Carlo methods, finite population inference, biased sampling and nonignorable nonresponse. The book contains many exercises, all with worked solutions, including complete computer code. It is suitable for self-study or a semester-long course, with three hours of lectures and one tutorial per week for 13 weeks. |
| format | Online |
| id | doab-20.500.12854ir-32870 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | ANU Press |
| publisherStr | ANU Press |
| record_format | ojs |
| spelling | doab-20.500.12854ir-328702025-01-22T14:12:34Z Bayesian Methods for Statistical Analysis Puza, Borek statistics mathematics bayesian inference probability Algorithm Confidence interval Histogram Monte Carlo method Posterior probability Sampling (statistics) WinBUGS thema EDItEUR::P Mathematics and Science::PB Mathematics thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics::PBTB Bayesian inference Bayesian methods for statistical analysis is a book on statistical methods for analysing a wide variety of data. The book consists of 12 chapters, starting with basic concepts and covering numerous topics, including Bayesian estimation, decision theory, prediction, hypothesis testing, hierarchical models, Markov chain Monte Carlo methods, finite population inference, biased sampling and nonignorable nonresponse. The book contains many exercises, all with worked solutions, including complete computer code. It is suitable for self-study or a semester-long course, with three hours of lectures and one tutorial per week for 13 weeks. 2021-02-10T12:58:18Z 2016-06-23 00:00:00 2020-04-01T14:10:01Z 2015 book 611011 OCN: 1076716258 http://library.oapen.org/handle/20.500.12657/32424 9781921934254 https://directory.doabooks.org/handle/20.500.12854/32870 eng open access image/jpeg image/jpeg image/jpeg image/jpeg image/jpeg n/a n/a n/a n/a n/a https://library.oapen.org/bitstream/20.500.12657/32424/1/611011.pdf https://library.oapen.org/bitstream/20.500.12657/32424/1/611011.pdf https://library.oapen.org/bitstream/20.500.12657/32424/1/611011.pdf https://library.oapen.org/bitstream/20.500.12657/32424/1/611011.pdf https://library.oapen.org/bitstream/20.500.12657/32424/1/611011.pdf ANU Press 10.26530/OAPEN_611011 10.26530/OAPEN_611011 975ba519-3ce2-4517-95bf-b847729fbcf1 9781921934254 open access |
| spellingShingle | statistics mathematics bayesian inference probability Algorithm Confidence interval Histogram Monte Carlo method Posterior probability Sampling (statistics) WinBUGS thema EDItEUR::P Mathematics and Science::PB Mathematics thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics::PBTB Bayesian inference Puza, Borek Bayesian Methods for Statistical Analysis |
| title | Bayesian Methods for Statistical Analysis |
| title_full | Bayesian Methods for Statistical Analysis |
| title_fullStr | Bayesian Methods for Statistical Analysis |
| title_full_unstemmed | Bayesian Methods for Statistical Analysis |
| title_short | Bayesian Methods for Statistical Analysis |
| title_sort | bayesian methods for statistical analysis |
| topic | statistics mathematics bayesian inference probability Algorithm Confidence interval Histogram Monte Carlo method Posterior probability Sampling (statistics) WinBUGS thema EDItEUR::P Mathematics and Science::PB Mathematics thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics::PBTB Bayesian inference |
| topic_facet | statistics mathematics bayesian inference probability Algorithm Confidence interval Histogram Monte Carlo method Posterior probability Sampling (statistics) WinBUGS thema EDItEUR::P Mathematics and Science::PB Mathematics thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics::PBTB Bayesian inference |
| url | 611011 |
| work_keys_str_mv | AT puzaborek bayesianmethodsforstatisticalanalysis |