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Applied regression analysis / (Record no. 4989)

MARC details
000 -LEADER
fixed length control field 01847pam a2200229 a 4500
001 - CONTROL NUMBER
control field 2124623
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200610093339.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 970610s1998 nyua b 001 0 eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 0471170828 (acidfree paper)
040 ## - CATALOGING SOURCE
Transcribing agency DLC
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.536
Edition number 21
Item number D765
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Draper, Norman Richard.
245 10 - TITLE STATEMENT
Title Applied regression analysis /
Statement of responsibility, etc Norman R. Draper, Harry Smith.
250 ## - EDITION STATEMENT
Edition statement 3rd ed.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Islamabad :
Name of publisher, distributor, etc NBF,
Date of publication, distribution, etc 1998
300 ## - PHYSICAL DESCRIPTION
Extent xvii, 706 p. :
Other physical details ill. ;
Dimensions 26 cm. +
500 ## - GENERAL NOTE
General note "A Wiley-Interscience publication."
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Regression analysis.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Smith, Harry,
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Basic Prerequisite Knowledge. Fitting a Straight Line by Least Squares. Checking the Straight Line Fit. Fitting Straight Lines: Special Topics. Regression in Matrix Terms: Straight Line Case. The General Regression Situation. Extra Sums of Squares and Tests for Several Parameters Being Zero. Serial Correlation in the Residuals and the Durbin-Watson Test. More of Checking Fitted Models. Multiple Regression: Special Topics. Bias in Regression Estimates, and Expected Values of Mean Squares and Sums of Squares. On Worthwhile Regressions, Big F's, and R-2. Models Containing Functions of the Predictors, Including Polynomial Models. Transformation of the Response Variable. "Dummy" Variables. Selecting the "Best" Regression Equation. Ill-Conditioning in Regression Data. Ridge Regression. Generalized Linear Models (GLIM). Mixture Ingredients as Predictor Variables. The Geometry of Least Squares. More Geometry of Least Squares. Orthogonal Polynomials and Summary Data. Multiple Regression Applied to Analysis of Variance Problems. An Introduction to Nonlinear Estimation. Robust Regression. Resampling Procedures (Bootstrapping). Bibliography. True/False Questions. Answers to Exercises. Tables. Indexes.
Holdings
Withdrawn status Damaged status Not for loan Home library Current library Date acquired Source of acquisition Full call number Barcode Date last seen Price effective from Koha item type
      UE-Central Library UE-Central Library 12.09.2018 U.E.5968 519.536 D765 T284D 12.09.2018 12.09.2018 Books
      UE-Central Library UE-Central Library 12.09.2018 U.E.5963 519.536 D765 T545D 12.09.2018 12.09.2018 Books
      UE-Central Library UE-Central Library 12.09.2018 U.E.5967 519.536 D765 T318D 12.09.2018 12.09.2018 Books
      UE-Central Library UE-Central Library 12.09.2018 U.E.5962 519.536 D765 T311D 12.09.2018 12.09.2018 Books
      UE-Central Library UE-Central Library 12.09.2018 U.E.5965 519.536 D765 T310D 12.09.2018 12.09.2018 Books
      UE-Central Library UE-Central Library 24.09.2019 U.E. 519.536 D765 T12522 24.09.2019 24.09.2019 Books
      UE-Central Library UE-Central Library 24.09.2019 U.E. 519.536 D765 T12523 24.09.2019 24.09.2019 Books
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