Bayesian Methods for Statistical Analysis
Overview & Synopsis
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.
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Document Information
| Document Title | Bayesian Methods for Statistical Analysis |
|---|---|
| Author / Organization | Borek Puza |
| Subject & Discipline | Bayesian Thinking, Statistics, Mathematical Statistics, Probability and Stochastic, Data Analysis and Data Mining |
| Categories | Bayesian Thinking |
| Publication Year | 2017 |
| ISBN | 978-1921934254 |
| License / Rights | Creative Commons License (CC) |
| Resource Verification | Access Restricted / Protected Host |
| Alternative Mirrors & Links | |
| Original Host Website |
FreeComputerBooks.com
(freecomputerbooks.com)
|
| File Format | application/pdf (Portable Document Format) |
| Language | ENGLISH |
| Catalog ID | DOC-112965 |
| Original Source Link | Visit Source Page on freecomputerbooks.com » |
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