Robust response surfaces, regression, and positive data analyses / Rabindra Nath Das.
Material type:
TextPublication details: Boca Raton : CRC Press, C2014.Description: xxiii, 311 p. : illustrations ; 27 cmISBN: - 9781466506770 (hardback)
- 000SA.13 23 D229
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| Books | ISI Library, Kolkata | 000SA.13 D229 (Browse shelf(Opens below)) | Available | 136410 |
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| 000SA.12 P798 Statistical tests of nonparametric hypotheses : | 000SA.12 Si571 Nonparametric statistics for the behavioural sciences | 000SA.12=4 R215 Statistique non parametric asymptotique | 000SA.13 D229 Robust response surfaces, regression, and positive data analyses / | 000SA.13 F221 Robust methods for data reduction / | 000SA.13 J95 Methodology in robust and nonparametric statistics / | 000SA.13 Sh554 Robust correlation : theory and applications / |
Includes bibliographical references and index.
1. Introduction --
2. Robust first-order designs --
3. Robust second-order designs --
4. Robust regression designs for non-normal distributions --
5. Weakly robust rotatable designs --
6. Robust second-order slope rotatability --
7. Optimal robust second-order slope rotatable designs --
8. Robust second-order slope-rotatability measures --
9. Regression analyses with correlated errors and applications --
10. Positive data analyses via log-normal and gamma models --
11. General conclusions and discussions--
Appendix--
Bibliography--
Index.
This 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.
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