LEADER 00000cam a22005897a 4500 
003    OCoLC 
005    20240129213017.0 
006    m     o  d         
007    cr cnu|||||||| 
008    200701s2014    xx      o     000 0 eng   
024 8  KE16144 
024 8  9781466506770 
029 0  AU@|b000067299417 
035    (OCoLC)1162605995 
040    AU@|beng|cAU@|dUAB|dOCLCO|dCZL|dOCLCO|dSHC|dOCLCQ|dTOH
       |dOCLCQ|dOCLCO|dOCLCL 
049    INap 
082 04 001.4/34 
082 04 001.4/34 
099    eBook O'Reilly for Public Libraries 
100 1  Das, Rabindra,|eauthor. 
245 10 Robust Response Surfaces, Regression, and Positive Data 
       Analyses /|cDas, Rabindra.|h[O'Reilly electronic resource]
250    1st edition. 
264  1 |bChapman and Hall/CRC,|c2014. 
300    1 online resource (336 pages) 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
347    text file 
505 0  Front Cover; Dedication; Contents; List of Figures; List 
       of Tables; Preface; Author; Chapter 1 -- INTRODUCTION; 
       Chapter 2 -- ROBUST FIRST-ORDER DESIGNS; Chapter 3 -- 
       ROBUST SECOND-ORDER DESIGNS; Chapter 4 -- ROBUST 
       REGRESSION DESIGNS FOR NON-NORMAL DISTRIBUTIONS; Chapter 5
       -- WEAKLY ROBUST ROTATABLE DESIGNS; Chapter 6 -- ROBUST 
       SECOND-ORDER SLOPE ROTATABILITY; Chapter 7 -- OPTIMAL 
       ROBUST SECOND-ORDER SLOPE ROTATABLE DESIGNS; Chapter 8 -- 
       ROBUST SECOND-ORDER SLOPE-ROTATABILITY MEASURES; Chapter 9
       -- REGRESSION ANALYSES WITH CORRELATED ERRORS AND 
       APPLICATIONS 
505 8  Chapter 10 -- POSITIVE DATA ANALYSES VIA LOG-NORMAL AND 
       GAMMA MODELSChapter 11 -- GENERAL CONCLUSIONS AND 
       DISCUSSIONS; APPENDIX; Bibliography; Back Cover 
520    Although widely used in science and technology for 
       experimental data generating, modeling, and optimization, 
       the response surface methodology (RSM) has many 
       limitations. Showing how robust response surface 
       methodology (RRSM) can overcome these limitations, Robust 
       Response Surfaces, Regression, and Positive Data Analyses 
       presents RRS designs, along with the relevant regression 
       and positive data analysis techniques. It explains how to 
       use RRSM in experimental designs and regression analysis. 
       The book addresses problems of RRS designs, such as 
       rotatability, slope-rotatability, weak rotatability, and 
       optimality. It describes methods for estimating model 
       parameters as well as positive data analysis techniques. 
       The author illustrates the concepts and methods with real 
       examples of lifetime responses, resistivity, replicated 
       measures, and more. The range of topics and applications 
       gives the book broad appeal both to theoreticians and 
       practicing professionals. The book helps quality engineers,
       scientists in any area, medical practitioners, 
       demographers, economists, and statisticians understand the
       theory and applications of RRSM. It can also be used in a 
       second course on the design of experiments. 
542    |fCopyright © Chapman and Hall/CRC 2014|g2014 
550    Made available through: Safari, an O'Reilly Media Company.
588    Online resource; Title from title page (viewed May 21, 
       2014) 
590    O'Reilly|bO'Reilly Online Learning: Academic/Public 
       Library Edition 
650  0 Experimental design. 
650  0 Regression analysis. 
650  0 Response surfaces (Statistics) 
650  2 Research Design 
650  2 Regression Analysis 
650  6 Plan d'expérience. 
650  6 Surfaces de réponse (Statistique) 
650  6 Analyse de régression. 
650  7 Experimental design|2fast 
650  7 Regression analysis|2fast 
650  7 Response surfaces (Statistics)|2fast 
710 2  Safari, an O'Reilly Media Company. 
856 40 |uhttps://ezproxy.naperville-lib.org/login?url=https://
       learning.oreilly.com/library/view/~/9781466506770/?ar
       |zAvailable on O'Reilly for Public Libraries 
936    BATCHLOAD 
994    92|bJFN