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Response Surface Methodology and Related Topics by Andre I. Khuri
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**About this book :- **

**Response Surface Methodology and Related Topics ** written by
** Andre I. Khuri **

This main purpose of this volume is to provide an overview of the key ideas that have shaped RSM, and to bring attention to recent research directions and developments in RSM, which can have many useful applications in a variety of fields. The volume will be very helpful to researchers as well as practitioners interested in RSM's theory and potential applications. It will be particularly useful to individuals who have used RSM methods in the past, but have not kept up with its recent developments, both in theory and applications.

Response surface methodology (RSM) began with the work of Box and Wilson (1951) in the Journal of the Royal Statistical Society, Series B. That work was motivated by the need to run experiments efficiently, by a proper choice of design, and to determine operating conditions on a set of controllable variables that give rise to an optimal response. The key ideas in the so-called classical RSM were developed using linear polynomial models, mainly first-degree and second-degree models, with continuous response variables assumed, for the most part, to be independently and normally distributed with constant error variances. Since the 1970's, RSM has gone through several stages of development that were aimed at making it more applicable to wider experimental situations under less stringent assumptions. The purpose of this volume is to provide an exposition of a variety of topics covering a wide range of methods and techniques used in RSM, including the more recent advances made in the field.

**Book Detail :- **
** Title: ** Response Surface Methodology and Related Topics
** Edition: **
** Author(s): ** Andre I. Khuri
** Publisher: ** World Scientific
** Series: **
** Year: ** 2006
** Pages: ** 472
** Type: ** PDF
** Language: ** English
** ISBN: ** 9789812564580,981-256-458-6
** Country: ** US

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**About Author :- **

The author Andre I. Khuri is a PHD and Professor Emeritus of Statistics at the University of Florida. He is the author of Advanced Calculus with Applications in Statistics, Second Edition and co-author of Statistical Tests for Mixed Linear Models, all published by Wiley. Dr. Khuri is a member of numerous academic associations, among them the American Statistical Association and the Institute of Mathematical Statistics.

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** • Download PDF Advanced Calculus with Applications in Statistics, 2E by André I. Khuri **

** • Download PDF Matrix Algebra Useful for Statistics, 2E by Shayle R. Searle, Andre I. Khuri **

** • Download PDF Linear Model Methodology by Andre I. Khuri **

** • Download PDF Statistical Texts for Mixed Linear Models by Andre I. Khuri, Mathew, Sinha **

** • Download PDF Response Surface Methodology and Related Topics by Andre I. Khuri **

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**Book Contents :- **
**Response Surface Methodology and Related Topics ** written by
** Andre I. Khuri **
cover the following topics.
'

1. Two-Level Factorial and Fractional Factorial Designs in Blocks of Size Two. Part 2 by Yuyun Jessie Yang and Norman R. Draper

2. Response Surface Experiments on Processes with High Variation by Steven G. Gilmour and Luzia A. Trinca

3. Random Run Order, Randomization and Inadvertent Split-Plots in Response Surface Experiments by Jitendra Ganju and James M. Lucas

4. Statistical Inference for Response Surface Optima by Dennis K. J. Lin and John J. Peterson

5. A Search Method for the Exploration of New Regions in Robust Parameter Design by Guillermo Miro-Quesada and Enrique del Castillo

6. Response Surface Approaches to Robust Parameter Design by Timothy J. Robinson and Shaun S. Wulff

7. Response Surface Methods and Their Application in the Treatment of Cancer with Drug Combinations: Some Reflections by Kathryn S. Dawson, T. J. Eller, and Walter H. Carter, Jr.

8. Generalized Linear Models and Response Transformation by Anthony C. Atkinson

9. GLM Designs: The Dependence on Unknown Parameters Dilemma by Andre I. Khuri and Siuli Mukhopadhyay

10. Design for a Trinomial Response to Dose by Shenghua Kelly Fan and Kathryn Chaloner

11. Evaluating the Performance of Non-Standard Designs: The San Cristobal Design by Linda M. Haines

12. 50 Years of Mixture Experiment Research by Greg F. Piepel

13. Graphical Methods for Comparing Response Surface Designs for Experiments with Mixture Components by Heidi B. Goldfarb and Douglas C. Montgomery

14. Graphical Methods for Assessing the Prediction Capability of Response Surface Designs by John J. Borkowski

15. Using Fraction of Design Space Plots for Informative Comparisons between Designs by Christine M. Anderson-Cook and Ayca Ozol-Godfrey

16. Concepts of Slope-Rotatability for Second Order Response Surface Designs by Sung H. Park

17. Design of Experiments for Estimating Differences between Responses and Slopes of t h e Response by Shahariar Huda

Subject Index

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