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Robust Response Surfaces, Regression, and Positive Data Analyses
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Robust Response Surfaces, Regression, and Positive Data Analyses

Robust Response Surfaces, Regression, and Positive Data Analyses

ByRabindra Nath Das
Edition 1st Edition
First Published 2014
eBook Published 21 May 2014
Pub. location New York
Imprint Chapman and Hall/CRC
DOIhttps://doi.org/10.1201/b16899
Pages 336 pages
eBook ISBN 9781466506800
SubjectsBioscience, Engineering & Technology, Mathematics & Statistics
Get Citation

Get Citation

Das, R. (2014). Robust Response Surfaces, Regression, and Positive Data Analyses. New York: Chapman and Hall/CRC, https://doi.org/10.1201/b16899
ABOUT THIS BOOK

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

TABLE OF CONTENTS
chapter 1|14 pages
- INTRODUCTION
View abstract
chapter 2|30 pages
- ROBUST FIRST-ORDER DESIGNS
View abstract
chapter 3|32 pages
- ROBUST SECOND-ORDER DESIGNS
View abstract
chapter 4|12 pages
- ROBUST REGRESSION DESIGNS FOR NON-NORMAL DISTRIBUTIONS
View abstract
chapter 5|20 pages
- WEAKLY ROBUST ROTATABLE DESIGNS
View abstract
chapter 6|16 pages
- ROBUST SECOND-ORDER SLOPE ROTATABILITY
View abstract
chapter 7|18 pages
- OPTIMAL ROBUST SECOND-ORDER SLOPE ROTATABLE DESIGNS
View abstract
chapter 8|12 pages
- ROBUST SECOND-ORDER SLOPE-ROTATABILITY MEASURES
View abstract
chapter 9|40 pages
- REGRESSION ANALYSES WITH CORRELATED ERRORS AND APPLICATIONS
View abstract
chapter 10|76 pages
- POSITIVE DATA ANALYSES VIA LOG-NORMAL AND GAMMA MODELS
View abstract
chapter 11|6 pages
- GENERAL CONCLUSIONS AND DISCUSSIONS
View abstract

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

TABLE OF CONTENTS
chapter 1|14 pages
- INTRODUCTION
View abstract
chapter 2|30 pages
- ROBUST FIRST-ORDER DESIGNS
View abstract
chapter 3|32 pages
- ROBUST SECOND-ORDER DESIGNS
View abstract
chapter 4|12 pages
- ROBUST REGRESSION DESIGNS FOR NON-NORMAL DISTRIBUTIONS
View abstract
chapter 5|20 pages
- WEAKLY ROBUST ROTATABLE DESIGNS
View abstract
chapter 6|16 pages
- ROBUST SECOND-ORDER SLOPE ROTATABILITY
View abstract
chapter 7|18 pages
- OPTIMAL ROBUST SECOND-ORDER SLOPE ROTATABLE DESIGNS
View abstract
chapter 8|12 pages
- ROBUST SECOND-ORDER SLOPE-ROTATABILITY MEASURES
View abstract
chapter 9|40 pages
- REGRESSION ANALYSES WITH CORRELATED ERRORS AND APPLICATIONS
View abstract
chapter 10|76 pages
- POSITIVE DATA ANALYSES VIA LOG-NORMAL AND GAMMA MODELS
View abstract
chapter 11|6 pages
- GENERAL CONCLUSIONS AND DISCUSSIONS
View abstract
CONTENTS
ABOUT THIS BOOK

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

TABLE OF CONTENTS
chapter 1|14 pages
- INTRODUCTION
View abstract
chapter 2|30 pages
- ROBUST FIRST-ORDER DESIGNS
View abstract
chapter 3|32 pages
- ROBUST SECOND-ORDER DESIGNS
View abstract
chapter 4|12 pages
- ROBUST REGRESSION DESIGNS FOR NON-NORMAL DISTRIBUTIONS
View abstract
chapter 5|20 pages
- WEAKLY ROBUST ROTATABLE DESIGNS
View abstract
chapter 6|16 pages
- ROBUST SECOND-ORDER SLOPE ROTATABILITY
View abstract
chapter 7|18 pages
- OPTIMAL ROBUST SECOND-ORDER SLOPE ROTATABLE DESIGNS
View abstract
chapter 8|12 pages
- ROBUST SECOND-ORDER SLOPE-ROTATABILITY MEASURES
View abstract
chapter 9|40 pages
- REGRESSION ANALYSES WITH CORRELATED ERRORS AND APPLICATIONS
View abstract
chapter 10|76 pages
- POSITIVE DATA ANALYSES VIA LOG-NORMAL AND GAMMA MODELS
View abstract
chapter 11|6 pages
- GENERAL CONCLUSIONS AND DISCUSSIONS
View abstract

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

TABLE OF CONTENTS
chapter 1|14 pages
- INTRODUCTION
View abstract
chapter 2|30 pages
- ROBUST FIRST-ORDER DESIGNS
View abstract
chapter 3|32 pages
- ROBUST SECOND-ORDER DESIGNS
View abstract
chapter 4|12 pages
- ROBUST REGRESSION DESIGNS FOR NON-NORMAL DISTRIBUTIONS
View abstract
chapter 5|20 pages
- WEAKLY ROBUST ROTATABLE DESIGNS
View abstract
chapter 6|16 pages
- ROBUST SECOND-ORDER SLOPE ROTATABILITY
View abstract
chapter 7|18 pages
- OPTIMAL ROBUST SECOND-ORDER SLOPE ROTATABLE DESIGNS
View abstract
chapter 8|12 pages
- ROBUST SECOND-ORDER SLOPE-ROTATABILITY MEASURES
View abstract
chapter 9|40 pages
- REGRESSION ANALYSES WITH CORRELATED ERRORS AND APPLICATIONS
View abstract
chapter 10|76 pages
- POSITIVE DATA ANALYSES VIA LOG-NORMAL AND GAMMA MODELS
View abstract
chapter 11|6 pages
- GENERAL CONCLUSIONS AND DISCUSSIONS
View abstract
ABOUT THIS BOOK
ABOUT THIS BOOK

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

TABLE OF CONTENTS
chapter 1|14 pages
- INTRODUCTION
View abstract
chapter 2|30 pages
- ROBUST FIRST-ORDER DESIGNS
View abstract
chapter 3|32 pages
- ROBUST SECOND-ORDER DESIGNS
View abstract
chapter 4|12 pages
- ROBUST REGRESSION DESIGNS FOR NON-NORMAL DISTRIBUTIONS
View abstract
chapter 5|20 pages
- WEAKLY ROBUST ROTATABLE DESIGNS
View abstract
chapter 6|16 pages
- ROBUST SECOND-ORDER SLOPE ROTATABILITY
View abstract
chapter 7|18 pages
- OPTIMAL ROBUST SECOND-ORDER SLOPE ROTATABLE DESIGNS
View abstract
chapter 8|12 pages
- ROBUST SECOND-ORDER SLOPE-ROTATABILITY MEASURES
View abstract
chapter 9|40 pages
- REGRESSION ANALYSES WITH CORRELATED ERRORS AND APPLICATIONS
View abstract
chapter 10|76 pages
- POSITIVE DATA ANALYSES VIA LOG-NORMAL AND GAMMA MODELS
View abstract
chapter 11|6 pages
- GENERAL CONCLUSIONS AND DISCUSSIONS
View abstract

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

TABLE OF CONTENTS
chapter 1|14 pages
- INTRODUCTION
View abstract
chapter 2|30 pages
- ROBUST FIRST-ORDER DESIGNS
View abstract
chapter 3|32 pages
- ROBUST SECOND-ORDER DESIGNS
View abstract
chapter 4|12 pages
- ROBUST REGRESSION DESIGNS FOR NON-NORMAL DISTRIBUTIONS
View abstract
chapter 5|20 pages
- WEAKLY ROBUST ROTATABLE DESIGNS
View abstract
chapter 6|16 pages
- ROBUST SECOND-ORDER SLOPE ROTATABILITY
View abstract
chapter 7|18 pages
- OPTIMAL ROBUST SECOND-ORDER SLOPE ROTATABLE DESIGNS
View abstract
chapter 8|12 pages
- ROBUST SECOND-ORDER SLOPE-ROTATABILITY MEASURES
View abstract
chapter 9|40 pages
- REGRESSION ANALYSES WITH CORRELATED ERRORS AND APPLICATIONS
View abstract
chapter 10|76 pages
- POSITIVE DATA ANALYSES VIA LOG-NORMAL AND GAMMA MODELS
View abstract
chapter 11|6 pages
- GENERAL CONCLUSIONS AND DISCUSSIONS
View abstract
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