00000cam a22000004i 4500 UP-99796217612861314 Buklod 20180924164948.0 m |o d | ta 180924s2014 xx d r |||| u| 9781466506770 (hardback) (iLib)UPD-00390613521 DLC DSTC rda eng DMLUC QA 279 D356 2014 Das, Rabindra Nath author. Robust response surfaces, regression, and positive data analyses Rabindra Nath Das. Boca Raton CRC Press 2014. xxiii, 311 pages illustrations 26 cm text rdacontent unmediated rdamedia volume rdacarrier Includes bibliographical references (pages 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. Response surfaces (Statistics) FO UPD DSTC QA 279 D356 2014 Book