Nonparametric Function Estimation, Modeling, and Simulation by James R. Thompson
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Nonparametric Function Estimation, Modeling, and Simulation
By James R. Thompson

Nonparametric Function Estimation, Modeling, and Simulation

By (author) See other recent books by James R. Thompson See other recent books by Richard A. Tapia
Format: Paperback

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Nonparametric Function Estimation, Modeling, and Simulation by James R. Thompson

Book Description

Topics emphasized in this book 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.

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Book Details

ISBN: 9780898712612
ISBN-10: 0898712610
Format: Paperback
(228mm x 152mm x 19mm)
Pages: 320
Imprint: Society for Industrial & Applied Mathematics,U.S.
Publisher: Society for Industrial & Applied Mathematics,U.S.
Publish Date: 1-Jan-1987
Country of Publication: United States

Books By Author James R. Thompson

Empirical Model Building by James R. Thompson Empirical Model Building, Hardback (December 2011)

* First Edition users testify that the book is well written and expertly documented. * The reader is introduced to provocative pointers such as the relevance of graphs, the meaning of interpretation, Henry Ford s Code of Practice, and Deming s 14 points, among others.

Models for Investors in Real World Markets by James R. Thompson Models for Investors in Real World Markets, Hardback (November 2002)

Considers neoclassical models in light of results that can go wrong with them to bring about better models. This work offers an examination of the LTCM collapse.

Simulation by James R. Thompson Simulation, Hardback (November 1999)

This text uses simulation as a computational aid in dealing with and creating models of reality. Its main objective is to incorporate simulation as an integral part of the interaction between data and the models which may have approximately generated them.

» View all books by James R. Thompson

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