Response modeling methodology: empirical modeling for engineering and science

Research output: Book/ReportBookpeer-review

21 Scopus citations


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. In addition, he explains the motivation for the development of the new methodology, introduces in detail the new approach and its estimation procedures, and shows how it may provide an excellent alternative to current approaches for empirical modeling (like Generalized Linear Modeling, GLM). The book also demonstrates that a myriad of current relational models, developed independently in various engineering and scientific disciplines, are in fact special cases of the RMM model, and so are many current statistical distributions, transformations and approximations.

Original languageEnglish
Place of PublicationSingapore; Hackensack, NJ
PublisherWorld Scientific
Number of pages435
ISBN (Electronic)1281880981, 9786611880989, 9812561021, 9812569286
ISBN (Print)9789812561022, 9812561021
StatePublished - 1 Jan 2005

Publication series

NameSeries on quality, reliability & engineering statistics
PublisherWorld Scientific
Volumev. 8

ASJC Scopus subject areas

  • Engineering (all)
  • Economics, Econometrics and Finance (all)
  • Business, Management and Accounting (all)


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