Computer intensive methods in statistics / Silvelyn Zwanzig and Behrang Mahjani.

By:

Zwanzig, Silvelyn [author.]

Contributor(s):

Mahjani, Behrang [author. ]

Material type: Text

TextPublisher: Boca Raton, Florida : CRC Press, 2020Description: xiii, 212 pages : illustrations ; 24 cmContent type:

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9780367194239

Subject(s):

Mathematical statistics -- Data processing

DDC classification:

519.50285 Z9c 23

LOC classification:

QA276.4 .Z93 2020

Contents:

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

Summary: "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"-- Provided by publisher.

Tags from this library: No tags from this library for this title. Log in to add tags.

Holdings
Item type	Current library	Shelving location	Call number	Copy number	Status	Date due	Barcode
Books	Main Library-Nabua	Circulation Section	CIR 519.50285 Z9c 2019 (Browse shelf(Opens below))	1-2	Available		025279
Books	Main Library-Nabua	Circulation Section	CIR 519.50285 Z9c 2020 (Browse shelf(Opens below))	2-2	Available		026177

Browsing Main Library-Nabua shelves, Shelving location: Circulation Section Close shelf browser (Hides shelf browser)

Previous								Next
Previous	CIR 519.502465 B676b 2007 Business statistics in practice	CIR 519.502465 B676b 2017 Business statistics in practice using modelling, data, and analytics/	CIR 519.50285 Z9c 2019 Computer intensive methods in statistics /	CIR 519.50285 Z9c 2020 Computer intensive methods in statistics /	CIR 519.502855133 P886s 2019 Statistics : an introduction using R /	CIR 519.502855133 R13a 2019 Advanced deep learning with R : become an expert at designing, building, and improving advanced neural network models using R /	CIR 519.5076 An254f 2021 5 steps to a 5 : AP statistics 2021 /	Next

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"-- Provided by publisher.

There are no comments on this title.

to post a comment.