James E. Gentle Books
Numerical Linear Algebra For Applications In Statistics
By James E. Gentle, James E. Gentle (Auth.)
Numerical linear algebra is one of the most important subjects in the field of statistical computing. Statistical methods in many areas of application require computations with vectors and matrices...
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Computational Statistics
Computational inference has taken its place alongside asymptotic inference and exact techniques in the standard collection of statistical methods. Computational inference is based on an approach to...
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Handbook Of Computational Statistics
By Yūichi Mori, James E. Gentle, J.E. Gentle, Wolfgang HSrdle, J.E. Gentle, Wolfgang HSrdle, James E. Gentle, Wolfgang K. Härdle, Yuichi Mori
Part I. Computational Statistics -- I.1. Computational Statistics: An Introduction -- Part Ii: Statistical Computing -- Ii.1. Basic Computational Algorithms -- Ii.2. Random Number Generation -- Ii....
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Statistical Computing
By James E. Gentle, William J. Kennedy, William Jo Kennedy, William J. Kennedy, Jr., James E. Gentle
In this book the authors have assembled the "best techniques from a great variety of sources, establishing a benchmark for the field of statistical computing." ---Mathematics of Computation ." The...
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Random Number Generation And Monte Carlo Methods
Monte Carlo simulation has become one of the most important tools in all fields of science. Simulation methodology relies on a good source of numbers that appear to be random. These "pseudorandom"...
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Elements Of Computational Statistics
computationally Intensive Methods Have Become Widely Used Both For Statistical Inference And For Exploratory Analyses Of Data. The Methods Of Computational Statistics Involve Resampling, Partitioni...
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