Computer intensive methods in statistics (Record no. 32869)

000 -LEADER
fixed length control field nam a22 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240216b xxu||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780367194239
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.50285
Item number ZWA
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Zwanzig, Silvelyn
245 ## - TITLE STATEMENT
Title Computer intensive methods in statistics
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc CRC Press,
Place of publication, distribution, etc Boca Raton :
Date of publication, distribution, etc 2020
300 ## - PHYSICAL DESCRIPTION
Extent xiii, 212 p. ;
Other physical details ill.,
Dimensions 23 cm.
365 ## - TRADE PRICE
Price amount 52.99
Price type code
Unit of pricing 110.20
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc This textbook 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. Computer Intensive Methods in Statistics is written for students at graduate level, but can also be used by practitioners. Features Presents the main ideas of computer-intensive statistical methods Gives the algorithms for all the methods Uses various plots and illustrations for explaining the main ideas Features the theoretical backgrounds of the main methods. Includes R codes for the methods and examples Silvelyn Zwanzig is an Associate Professor for Mathematical Statistics at Uppsala University. She studied Mathematics at the Humboldt- University in Berlin. Before coming to Sweden, she was Assistant Professor at the University of Hamburg in Germany. She received her Ph.D. in Mathematics at the Academy of Sciences of the GDR. Since 1991, she has taught Statistics for undergraduate and graduate students. Her research interests have moved from theoretical statistics to computer intensive statistics. Behrang Mahjani is a postdoctoral fellow with a Ph.D. in Scientific Computing with a focus on Computational Statistics, from Uppsala University, Sweden. He joined the Seaver Autism Center for Research and Treatment at the Icahn School of Medicine at Mount Sinai, New York, in September 2017 and was formerly a postdoctoral fellow at the Karolinska Institutet, Stockholm, Sweden. His research is focused on solving large-scale problems through statistical and computational methods.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematical statistics
Topical term or geographic name as entry element Trial distribution
Topical term or geographic name as entry element SIMEX
Topical term or geographic name as entry element Random numbers
Topical term or geographic name as entry element Normal distribution
Topical term or geographic name as entry element Markov chain
Topical term or geographic name as entry element Monte Carlo methods
Topical term or geographic name as entry element Importance sampling
Topical term or geographic name as entry element kernel density estimator
Topical term or geographic name as entry element Cauchy distribution
Topical term or geographic name as entry element Confidence interval
Topical term or geographic name as entry element F-statistic
Topical term or geographic name as entry element Empirical distribution function
Topical term or geographic name as entry element EM algorithm
Topical term or geographic name as entry element Data processing
Topical term or geographic name as entry element Random variable generation
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Mahjani, Behrang
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent location Current location Date acquired Cost, normal purchase price Full call number Barcode Date last seen Koha item type
          DAIICT DAIICT 2024-02-10 5839.50 519.50285 ZWA 034629 2024-02-16 Books

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