Nonparametric Function Estimation, Modeling, and Simulation

James R. Thompson, Richard A. Tapia (Autoren)

Buch | Softcover

320 Seiten

1990
Society for Industrial & Applied Mathematics,U.S. (Verlag)
9780898712612 (ISBN)

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Topics discussed include nonparametric density estimation as an exploratory device plus the deeper models to which the exploratory analysis points, multi-dimensional data analysis, and analysis of remote sensing data, cancer progression, chaos theory, epidemiological modeling, and parallel based algorithms.

Topics emphasized include nonparametric density estimation as an exploratory device plus the deeper models to which the exploratory analysis points, multi-dimensional data analysis, and analysis of remote sensing data, cancer progression, chaos theory, epidemiological modeling, and parallel based algorithms. New methods discussed are quick nonparametric density estimation based techniques for resampling and simulation based estimation techniques not requiring closed form solutions.

Special features include:

Concrete examples illustrate the theories presented.
Multi-dimensional problems are addressed.
A computer is used as an integral part of the modeling process.

Chapter 1: Historical Background
Chapter 2: Some Approaches to Nonparametric Density Estimation
Chapter 3: Maximum Likelihood Density Estimation
Chapter 4: Maximum Penalized Likelihood Density Estimation
Chapter 5: Discrete Maximum Penalized Likelihood Estimation
Chapter 6: Nonparametric Density of Estimation in Higher Dimensions
Chapter 7: Nonparametric Regression and Intensity Function Estimation
Chapter 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.

Erscheint lt. Verlag	31.12.1990
Verlagsort	New York
Sprache	englisch
Maße	152 x 229 mm
Gewicht	430 g
Themenwelt	Mathematik / Informatik ► Informatik
	Mathematik / Informatik ► Mathematik
	Technik
ISBN-13	9780898712612 / 9780898712612
Zustand	Neuware