Numerical Issues in Statistical Computing for the Social Scientist

Preface. 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 Hessian Matrices (Jeff Gill & 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. Bibliography. Author Index. Subject Index.