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Response modeling methodology : empirical modeling for engineering and science / Haim Shore.
- Format:
- Book
- Author/Creator:
- Shore, Haim.
- Series:
- Series on quality, reliability & engineering statistics ; v. 8.
- Series on quality, reliability and engineering statistics ; v. 8
- Language:
- English
- Subjects (All):
- Reliability (Engineering)--Statistical methods.
- Reliability (Engineering).
- Engineering models.
- Mathematical optimization.
- Physical Description:
- 1 online resource (458 p.)
- Edition:
- 1st ed.
- Place of Publication:
- Singapore : Hong Kong : World Scientific, c2005.
- Language Note:
- English
- Summary:
- This book introduces a new approach, denoted RMM, for an empirical modeling of a response variation, relating to both systematic variation and random variation. In the book, the developer of RMM discusses the required properties of empirical modeling and evaluates how current approaches conform to these requirements.
- Contents:
- Contents; 1 Introduction; 2 Relational Models in Engineering and the Sciences (Monotone Convex/Concave Relationships); 3 Shared Features and ""The Ladder""; 4 Approaches to Model Systematic Variation; 5 Approaches to Model Random Variation; 6 The Requirements and Evaluation of Compliance; 7 The RMM Model; 8 Estimating the Relational Model; 9 The RMM Error Distribution; 10 Fitting Procedures (for the Error Distribution); 11 Estimating the Error Distribution; 12 Special Cases of the RMM Model; 13 Evaluating RMM for Compliance; 14 Comparative Solutions for Relational Models
- 15 Reliability Engineering (with Censoring)16 Software Reliability-Growth Models; 17 Modeling a Chemo-Response; 18 Forecasting S-Shaped Diffusion Processes; 19 RMM Distributional Approximations; 20 Inverse Normalizing Transformations; 21 Piece-Wise Linear Approximations; 22 General Control Charts; 23 Inventory Analysis; Review Questions; Author Index; Subject Index
- Notes:
- Description based upon print version of record.
- Includes bibliographical references and index.
- ISBN:
- 9786611880989
- 9781281880987
- 1281880981
- 9789812569288
- 9812569286
- OCLC:
- 171584640
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