Nonparametric Function Estimation, Modeling, and Simulation - Brossura

Thompson, James R.; Tapia, Richard A.

Brossura

ISBN 10: 0898712610 ISBN 13: 9780898712612

Casa editrice: Society for Industrial and Applied Mathematics, 1987

Riassunto

Topics emphasized in this book include nonparametric density estimation, multi-dimensional data analysis, cancer progression, chaos theory, and parallel based algorithms.

Su questo libro

Recensione

'For those who do not have a copy of Tapia and Thompson (1978), the new book is definitely worth buying. The original Tapia and Thompson material in Chapters 1-5 is something everyone interested in density estimation should read, and the new chapters are a nice bonus....The newer material by Thompson contains thought-provoking treatments of some important issues that hopefully will provide a similar stimulus for research in its subject matter areas.' Randall L. Eubank, Journal of the American Statistical Association

'The authors share their experience with those who wish to use exploratory devices, such as nonparametric density estimation, towards a better understanding of real world processes, which require several characterizing parameters and have multidimensional data outputs. The book is reasonably successful in its attempt to be a 'road map' to investigators trying to make sense of the multiparametic models and multidimensional data ...The book makes for interesting reading and should help the reader avoid some of the false trails in analyzing multidimensional data, and perhaps spare the reader from repeating mistakes of the authors and others.' E. F. Schuster, Mathematical Reviews

Contenuti

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.

Dettagli dell?edizione

• Editore: Society for Industrial and Applied Mathematics
• Data di pubblicazione: 1987
• Lingua: Inglese
• ISBN 10: 0898712610
• ISBN 13: 9780898712612
• Rilegatura: Copertina flessibile
• Numero di pagine: 320
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile