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010   $a9786611880989
010   $a981-256-928-6
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100   $a20050914d2005      uy             0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aResponse modeling methodology$b[electronic resource] $eempirical modeling for engineering and science /$fHaim Shore
210   $aSingapore $aHong Kong $cWorld Scientific$dc2005
215   $a1 online resource (458 p.)
225 1 $aSeries on quality, reliability and engineering statistics ;$vv. 8
300   $aDescription based upon print version of record.
311   $a981-256-102-1 
320   $aIncludes bibliographical references and index.
327   $aContents; 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
327   $a15 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
330   $aThis book introduces a new approach, denoted RMM, for an empirical modeling of a response variation, relating to both systematic variation and random variation. In the book, the developer of RMM discusses the required properties of empirical modeling and evaluates how current approaches conform to these requirements.
410  0$aSeries on quality, reliability & engineering statistics ;$vv. 8.
606   $aReliability (Engineering)$xStatistical methods
606   $aEngineering models
606   $aMathematical optimization
615  0$aReliability (Engineering)$xStatistical methods.
615  0$aEngineering models.
615  0$aMathematical optimization.
676   $a620/.00452
700   $aShore$b Haim$01465958
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910783641203321
996   $aResponse modeling methodology$93676208
997   $aUNINA