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Computer intensive methods in statis...

Mahjani, Behrang,

Computer intensive methods in statistics /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Computer intensive methods in statistics /Silvelyn Zwanzig, Behrang Mahjani.
作者:	Zwanzig, Silvelyn,
其他作者:	Mahjani, Behrang,
出版者:	Boca Raton :CRC Press,c2020.
面頁冊數:	xiii, 212 p. :ill. ;25 cm.
標題:	Mathematical statisticsData processing.
ISBN:	9780367194239 (pbk.) :

Computer intensive methods in statistics /
Zwanzig, Silvelyn,

Computer intensive methods in statistics /Silvelyn Zwanzig, Behrang Mahjani. - Boca Raton :CRC Press,c2020. - xiii, 212 p. :ill. ;25 cm.

Includes bibliographical references and index.

Random variable generation -- Monte Carlo methods -- Bootstrap -- Simulation based methods -- Density estimation -- Nonparametric regression.

"This book gives an overview of statistical methods that have been developed during the last years due to increasing computer use, including random number generators, Monte Carlo methods, Markov Chain Monte Carlo (MCMC) methods, Bootstrap, EM algorithms, SIMEX, variable selection, density estimators, kernel estimators, orthogonal and local polynomial estimators, wavelet estimators, splines, and model assessment. It is written for students at Master's and PhD level"--

ISBN: 9780367194239 (pbk.) :GBP$49.99

Patent No.: cam a2200229 a 450

LCCN: 2019042621Subjects--Topical Terms:

183916
Mathematical statistics
--Data processing.

LC Class. No.: QA276.4 / .Z93 2020

Dewey Class. No.: 519.50285

Computer intensive methods in statistics /
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245 1 0 $a Computer intensive methods in statistics / $c Silvelyn Zwanzig, Behrang Mahjani.
260 $a Boca Raton : $b CRC Press, $c c2020.
300 $a xiii, 212 p. : $b ill. ; $c 25 cm.
504 $a Includes bibliographical references and index.
505 0 $a Random variable generation -- Monte Carlo methods -- Bootstrap -- Simulation based methods -- Density estimation -- Nonparametric regression.
520 $a "This book gives an overview of statistical methods that have been developed during the last years due to increasing computer use, including random number generators, Monte Carlo methods, Markov Chain Monte Carlo (MCMC) methods, Bootstrap, EM algorithms, SIMEX, variable selection, density estimators, kernel estimators, orthogonal and local polynomial estimators, wavelet estimators, splines, and model assessment. It is written for students at Master's and PhD level"-- $c Provided by publisher.
650 0 $a Mathematical statistics $x Data processing. $3 183916
700 1 $a Mahjani, Behrang, $e author. $3 857867