Regression Analysis: Theory, Methods, and Applications (Record no. 204)

000 -LEADER
fixed length control field 02245nam a2200289Ia 4500
003 - CONTROL NUMBER IDENTIFIER
control field DE-boiza
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20191031105036.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190909
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 3-540-97211-0
040 ## - CATALOGING SOURCE
Transcribing agency IZA
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Sen, Ashish
9 (RLIN) 681
Personal name Srivastava, M. S
9 (RLIN) 682
245 #0 - TITLE STATEMENT
Title Regression Analysis: Theory, Methods, and Applications
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. New York
Date of publication, distribution, etc. 1997
Name of publisher, distributor, etc. Springer,
Place of publication, distribution, etc. Berlin et al.,
300 ## - PHYSICAL DESCRIPTION
Extent 348 pages
340 ## - PHYSICAL MEDIUM
Location within medium C1 54
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Springer Texts in Statistics
9 (RLIN) 5429
520 ## - SUMMARY, ETC.
Summary, etc. <br/><br/>Any method of fitting equations to data may be called regression. Such equations are valuable for at least two purposes: making predictions and judging the strength of relationships. Because they provide a way of em­ pirically identifying how a variable is affected by other variables, regression methods have become essential in a wide range of fields, including the soeial seiences, engineering, medical research and business. Of the various methods of performing regression, least squares is the most widely used. In fact, linear least squares regression is by far the most widely used of any statistical technique. Although nonlinear least squares is covered in an appendix, this book is mainly ab out linear least squares applied to fit a single equation (as opposed to a system of equations). The writing of this book started in 1982. Since then, various drafts have been used at the University of Toronto for teaching a semester-Iong course to juniors, seniors and graduate students in a number of fields, including statistics, pharmacology, pharmacology, engineering, economics, forestry and the behav­ ioral seiences. Parts of the book have also been used in a quarter-Iong course given to Master's and Ph.D. students in public administration, urban plan­ ning and engineering at the University of Illinois at Chicago (UIC). This experience and the comments and critieisms from students helped forge the final version.<br/>
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element regression analysis
9 (RLIN) 905
Topical term or geographic name entry element statistical methods
9 (RLIN) 5273
Topical term or geographic name entry element linear least squares regression
9 (RLIN) 5430
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term mathematics
655 ## - INDEX TERM--GENRE/FORM
Genre/form data or focus term textbook
9 (RLIN) 5204
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://www.springer.com/de/book/9783540972112">https://www.springer.com/de/book/9783540972112</a>
Link text Publisher's website
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Monography
Source of classification or shelving scheme
Holdings
Withdrawn status Lost status Damaged status Not for loan Permanent Location Current Location Date acquired Full call number Barcode Date last seen Price effective from Koha item type
        Library Library 2019-09-12 C1 54 46374 2019-09-12 2019-09-12 Monography
Deutsche Post Stiftung
 
Istitute of Labor Economics
 
Institute for Environment & Sustainability
 

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