Numerical issues in statistical computing for the social scientist /
"Numerical Issues in Statistical Computing for the Social Scientist seeks to provide readers with a unique practical guidebook to the numerical methods underlying computerized statistical calculations specific to these fields. The authors demonstrate that knowledge of these numerical methods an...
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| Altri autori: | , |
| Natura: | Libro |
| Lingua: | English |
| Pubblicazione: |
Hoboken, NJ :
Wiley-Interscience,
c2004.
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| Serie: | Wiley series in probability and statistics
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| Soggetti: | |
| Accesso online: | Publisher description Table of contents Contributor biographical information |
Sommario:
- 1. Introduction: Consequences of Numerical Inaccuracy
- 2. Sources of Inaccuracy in Statistical Computation
- 3. Evaluating Statistical Software
- 4. Robust Inference
- 5. Numerical Issues in Markov Chain Monte Carlo Estimation
- 6. Numerical Issues Involved in Inverting Hessian Matrices / Jeff Gill and Gary King
- 7. Numerical Behavior of King's EI Method
- 8. Some Details of Nonlinear Estimation / B. D. McCullough
- 9. Spatial Regression Models / James P. LeSage
- 10. Convergence Problems in Logistic Regression / Paul Allison
- 11. Recommendations for Replication and Accurate Analysis.