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Statistical Inference: An Integrated Bayesian / Likelihood Approach Murray Aitkin 1st edition
Statistical Inference: An Integrated Bayesian / Likelihood Approach
Murray Aitkin
Sets out an integrated approach to statistical inference using the likelihood function as the primary measure of evidence for statistical model parameters, and for the statistical models themselves. This book provides both an alternative to standard Bayesian inference and the foundation for a course sequence in modern Bayesian theory.
254 pages, 95 black & white illustrations, 30 black & white tables
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | June 2, 2010 |
| ISBN13 | 9781420093438 |
| Publishers | Taylor & Francis Ltd |
| Pages | 254 |
| Dimensions | 162 × 243 × 21 mm · 504 g |
| Language | English |
| Series Editor | Fan, Jianqing (Princeton University, New Jersey, USA) |
| Series Editor | Isham, Valerie |
| Series Editor | Keiding, Niels (University of Copenhagen, Denmark) |
| Series Editor | Louis, Thomas A. (Johns Hopkins Bloomberg School of Public Health, MD, USA Johns Hopkins Bloomberg School of Public Health, Baltimore, Johns Hopkins Bloomberg, Baltimore, Maryland, USA) |
| Series Editor | Murphy, Susan.A |
| Series Editor | Smith, Richard L. (University of North Carolina, Chapel Hill, USA) |
| Series Editor | Tong, Howell |
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