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
Bayesian statistical methods
โ Scribed by Ghosh, Sujit K.; Reich, Brian James
- Publisher
- Chapman & Hall/CRC
- Year
- 2019
- Tongue
- English
- Leaves
- 288
- Category
- Library
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
This book provides a compact self-contained introduction to the theory and application of Bayesian statistical methods. The book is accessible to readers having a basic familiarity with probability, yet allows more advanced readers to quickly grasp the principles underlying Bayesian theory and metho
<p><P>This book provides a compact self-contained introduction to the theory and application of Bayesian statistical methods. The book is accessible to readers having a basic familiarity with probability, yet allows more advanced readers to quickly grasp the principles underlying Bayesian theory and
<strong>Likelihood Methods in Biology and Ecology: A Modern Approach to Statistics</strong>emphasizes the importance of the likelihood function in statistical theory and applications and discusses it in the context of biology and ecology. Bayesian and frequentist methods both use the likelihood func