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Computer age statistical inference (Record no. 558493)

MARC details
000 -LEADER
fixed length control field 01924 a2200265 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250401150644.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 180130b xxu||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781107149892
040 ## - CATALOGING SOURCE
Transcribing agency IIT Kanpur
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.50285
Item number Ef78c
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Efron, Bradley
245 ## - TITLE STATEMENT
Title Computer age statistical inference
Remainder of title algorithms, evidence and data science
Statement of responsibility, etc Bradley Efron [and] Trevor Hastie
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher Cambridge University Press
Year of publication 2016
Place of publication New York
300 ## - PHYSICAL DESCRIPTION
Number of Pages xix,475p.
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Institute of mathematical statistics monographs
490 ## - SERIES STATEMENT
Series statement / edited by D. R. Cox ...[et al.]
500 ## - GENERAL NOTE
General note Includes bibliographical references and indexes
520 ## - SUMMARY, ETC.
Summary, etc The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Mathematical statistics -- Data processing
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Mathematical statistics
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Machine learning -- Statistical methods
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Hastie, Trevor
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Holdings
Withdrawn status Lost status Damaged status Not for loan Collection code Home library Current library Date acquired Source of acquisition Cost, normal purchase price Full call number Accession Number Cost, replacement price Koha item type
        General Stacks PK Kelkar Library, IIT Kanpur PK Kelkar Library, IIT Kanpur 13/02/2018 8 3304.66 519.50285 Ef78c A183520 4130.82 Books

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