Data analysis : | what can be learned from the past 50 years / (Record no. 104010)

MARC details
000 -LEADER
fixed length control field 02157cam a22002654a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 101012s2011 njua b 001 0 eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781118010648
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1118010647
040 ## - CATALOGING SOURCE
Original cataloging agency SDU
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA276
Item number H877 D 2011
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Huber, Peter J.
245 10 - TITLE STATEMENT
Title Data analysis :
Remainder of title what can be learned from the past 50 years /
Statement of responsibility, etc. Peter J. Huber.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Hoboken, N.J. :
Name of publisher, distributor, etc. Wiley,
Date of publication, distribution, etc. 2011.
300 ## - PHYSICAL DESCRIPTION
Extent 210 p. :
Other physical details ill.
490 0# - SERIES STATEMENT
Series Statement Wiley series in probability and statistics
505 ## - Formatted Contents Note
Formatted contents note HKBU library
518 ## - DATE/TIME AND PLACE OF AN EVENT NOTE
DATE/TIME AND PLACE OF AN EVENT NOTE YT2025 M10
520 ## - SUMMARY
Summary "This book explores the many provocative questions concerning the fundamentals of data analysis. It is based on the time-tested experience of one of the gurus of the subject matter. Why should one study data analysis? How should it be taught? What techniques work best, and for whom? How valid are the results? How much data should be tested? Which machine languages should be used, if used at all? Emphasis on apprenticeship (through hands-on case studies) and anecdotes (through real-life applications) are the tools that Peter J. Huber uses in this volume. Concern with specific statistical techniques is not of immediate value; rather, questions of strategy - when to use which technique - are employed. Central to the discussion is an understanding of the significance of massive (or robust) data sets, the implementation of languages, and the use of models. Each is sprinkled with an ample number of examples and case studies. Personal practices, various pitfalls, and existing controversies are presented when applicable. The book serves as an excellent philosophical and historical companion to any present-day text in data analysis, robust statistics, data mining, statistical learning, or computational statistics"--Provided by publisher.
520 ## - SUMMARY
Summary "This book explores the many provocative questions concerning the fundamentals of data analysis"--
650 #0 - SUBJECT
Topical term Mathematical statistics
General subdivision History.
650 #0 - SUBJECT
Topical term Mathematical statistics
General subdivision Philosophy.
650 #0 - SUBJECT
Topical term Numerical analysis
General subdivision Methodology.
900 ## - Accession Number
Accession Number = C.1 SDU
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type English Books
Source of classification or shelving scheme Library of Congress Classification
100 1# - MAIN ENTRY--PERSONAL NAME
-- 193270
650 #0 - SUBJECT
-- 193271
650 #0 - SUBJECT
-- 193272
650 #0 - SUBJECT
-- 193273
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Source of acquisition Total Checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
    Library of Congress Classification   Available for Loans General Books MATRIX Library MATRIX Library General Eng/FL.3 02/10/2025 Donation   QA276 H877 D 2011 1000377914 02/10/2025 C.1 02/10/2025 English Books
คัดลอกแล้ว!