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Robust response surfaces, regression...

Das, Rabindra Nath.

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Robust response surfaces, regression, and positive data analyses /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Robust response surfaces, regression, and positive data analyses // Rabindra Nath Das.
Author:	Das, Rabindra Nath.
Published:	Boca Raton :CRC Press, : c2014.,
Description:	xxiii, 311 p. :ill. ;27 cm.
Subject:	Response surfaces (Statistics) -
Online resource:	http://images.tandf.co.uk/common/jackets/websmall/978146650/9781466506770.jpg
ISBN:	9781466506770

Robust response surfaces, regression, and positive data analyses /
Das, Rabindra Nath.

Robust response surfaces, regression, and positive data analyses /Rabindra Nath Das. - Boca Raton :CRC Press,c2014. - xxiii, 311 p. :ill. ;27 cm.

Includes bibliographical references (p. 289-306) and index.

"The present book initiates the concept of robust response surface designs, along with the relevant regression and positive data analysis techniques. Response surface methodology (RSM), well-known in literature, is widely used in every field of science and technology such as Biology, Natural (Physical/Chemical), Environmental, Medical, Agricultural, Quality engineering etc. RSM is the most popular experimental data generating, modeling and optimization technique in every field of science. It is a particular case of robust response surface methodology (RRSM). RSM has many limitations, and RRSM aims to overcome many of such limitations. Thus, RRSM will be much better than RSM. It is intended for anyone who knows basic concepts of experimental designs and regression analysis. This is the first unique book on RRSM. Every chapter is unique regarding its contents, presentation and organization. Problems on robust response surface designs such as rotatability, slope-rotatability, weak rotatability, optimality, and along with the method of estimation of model parameters, positive data analysis techniques are considered in this book. Some real examples on lifetime responses, resistivity, replicated measures, medical, demography, hydrogeology data etc., are analysed. Some examples (considered in this book) on design of experiments do not satisfy the classical assumptions of response surface methodology."--

ISBN: 9781466506770UK72.99

LCCN: 2014013174Subjects--Topical Terms:

648477
Response surfaces (Statistics)

LC Class. No.: QA279 / .D355 2014

Dewey Class. No.: 001.4/34

Robust response surfaces, regression, and positive data analyses /
LDR:02189cam a2200217 a 4500 001 2017681
003 DLC
005 20150826075944.0
008 161003s2014 flua b 001 0 eng
010 $a 2014013174
020 $a 9781466506770 $q (hardback) : $c UK72.99
020 $a 1466506776 $q (hardback)
040 $a DLC $b eng $c DLC
042 $a pcc
050 0 0 $a QA279 $b .D355 2014
082 0 0 $a 001.4/34 $2 23
100 1 $a Das, Rabindra Nath. $3 2185011
245 1 0 $a Robust response surfaces, regression, and positive data analyses / $c Rabindra Nath Das.
260 $a Boca Raton : $b CRC Press, $c c2014.
300 $a xxiii, 311 p. : $b ill. ; $c 27 cm.
504 $a Includes bibliographical references (p. 289-306) and index.
520 $a "The present book initiates the concept of robust response surface designs, along with the relevant regression and positive data analysis techniques. Response surface methodology (RSM), well-known in literature, is widely used in every field of science and technology such as Biology, Natural (Physical/Chemical), Environmental, Medical, Agricultural, Quality engineering etc. RSM is the most popular experimental data generating, modeling and optimization technique in every field of science. It is a particular case of robust response surface methodology (RRSM). RSM has many limitations, and RRSM aims to overcome many of such limitations. Thus, RRSM will be much better than RSM. It is intended for anyone who knows basic concepts of experimental designs and regression analysis. This is the first unique book on RRSM. Every chapter is unique regarding its contents, presentation and organization. Problems on robust response surface designs such as rotatability, slope-rotatability, weak rotatability, optimality, and along with the method of estimation of model parameters, positive data analysis techniques are considered in this book. Some real examples on lifetime responses, resistivity, replicated measures, medical, demography, hydrogeology data etc., are analysed. Some examples (considered in this book) on design of experiments do not satisfy the classical assumptions of response surface methodology."-- $c Provided by publisher.
650 0 $a Response surfaces (Statistics) $3 648477
650 0 $a Experimental design. $3 524737
856 4 2 $3 Cover image $u http://images.tandf.co.uk/common/jackets/websmall/978146650/9781466506770.jpg