Bayesian methods for management and business : pragmatic solutions for real problems / Eugene D. Hahn.
Material type:
TextPublication details: New Jersey : John Wiley, c2014.Description: xvii, 365 p. : ill. ; 25 cmISBN: - 9781118637555 (hardback)
- 000SA.161 23 H148
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| Books | ISI Library, Kolkata | 000SA.161 H148 (Browse shelf(Opens below)) | Available | 136115 |
Browsing ISI Library, Kolkata shelves Close shelf browser (Hides shelf browser)
| 000SA.161 G319 Bayesian data analysis / | 000SA.161 G475 Bayesian methods : | 000SA.161 G982 Bayesian inference for partially identified models : | 000SA.161 H148 Bayesian methods for management and business : | 000SA.161 H289 Bayesian inference : | 000SA.161 In61 Bayesian statistics 4 : | 000SA.161 J48 Bayesian inference in the social sciences / |
Includes bibliographical references and index.
1. Introduction to Bayesian Methods--
2. A first look at Bayesian computation--
3. Computer-asssted Bayesian computation--
4. Markov chain Monte Carlo and regression models--
5. Estimating Bayesian Models with WinBUGS--
6. Assessing MCMC performance in WinBugs--
7. Model checking and model comparison--
8. Hierarchical models--
9. Generalized linear models--
10. Models for difficult data--
11. Introduction to Latent Variable Models--
Appendix A Common statistical distributions--
References--
Author index--
Subject index.
"Features the use of Bayesian statistics to gain insights from empirical dataFeaturing an accessible approach, Bayesian Methods for Management and Business: Pragmatic Solutions for Real Problems demonstrates how Bayesian statistics can help to provide insights into important issues facing business and management. The book draws on multidisciplinary applications and examples and utilizes the freely available software WinBUGS and R to illustrate the integration of Bayesian statistics within data-rich environments. Computational issues are discussed and integrated with coverage of linear models, sensitivity analysis, Markov Chain Monte Carlo (MCMC), and model comparison. In addition, more advanced models including hierarchal models, generalized linear models, and latent variable models are presented to further bridge the theory and application in real-world usage. Bayesian Methods for Management and Business: Pragmatic Solutions for Real Problems alsofeatures: Numerous real-world examples drawn from multiple management disciplines such as strategy, international business, accounting, and information systems An incremental skill-building presentation based on analyzing data sets with widely-applicable models of increasing complexity An accessible treatment of Bayesian statistics that is integrated with a broad range of business and management issues and problems A practical problem-solving approach to illustrate how Bayesian statistics can help provide insight into important issues facing business and management The use of WinBUGS and R to showcase the benefits of Bayesian statistics for the increasingly data-rich business environment Bayesian Methods for Management and Business: Pragmatic Solutions for Real Problems is an important textbook for Bayesian statistics courses at the advanced MBA-level and also for business and management PhD candidates as a first course in methodology. In addition, the book is a useful resource for management scholars and practitioners as well as business academics and practitioners who need to broaden their methodological skill sets"--
There are no comments on this title.
