Nonparametric Function Estimation, Modeling, and Simulation
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Nonparametric Function Estimation, Modeling, and Simulation by James R. Thompson
Book DescriptionTopics 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 DetailsISBN: 9780898712612
(228mm x 152mm x 19mm)
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, 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, 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, Hardback (November 1999)» View all books by James R. Thompson
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.
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