Nonparametric Function Estimation, Modeling, and Simulation
James R. Thompson, Richard A. Tapia · Society for Industrial and Applied Mathematics eBooks · 1990
1. Historical Background 2. Some Approaches to Nonparametric Density Estimation 3. Maximum Likelihood Density Estimation 4. Maximum Penalized Likelihood Density Estimation 5. Discrete Maximum Penalized Likelihood Estimation 6. Nonparametric Density of Estimation in Higher Dimensions 7. Nonparametric Regression and Intensity Function Estimation 8. Model Building and Speculative Data Analysis Appendix I. An Introduction to Mathematical Optimization Theory Appendix II. Numerical Solution of Constrained Optimization Problems Appendix III. Optimization Algorithms for Noisy Problems Appendix IV. A Brief Primer in Simulation Index.