Journal ArticleDOI
A methodology for cost-risk analysis in the statistical validation of simulation models
Osman Balci,Robert G. Sargent +1 more
TLDR
A methodology is presented for constructing the relationships among model user's risk, model builders' risk, acceptable validity range, sample sizes, and cost of data collection when statistical hypothesis testing is used for validating a simulation model of a real, observable system.Abstract:
A methodology is presented for constructing the relationships among model user's risk, model builder's risk, acceptable validity range, sample sizes, and cost of data collection when statistical hypothesis testing is used for validating a simulation model of a real, observable system. The use of the methodology is illustrated for the use of Hotelling's two-sample T 2 test in testing the validity of a multivariate stationary response stimulation model.read more
Citations
More filters
Journal ArticleDOI
Verification and validation of simulation models
TL;DR: Three approaches to deciding model validity are described, two paradigms that relate verification and validation to the model development process are presented, and various validation techniques are defined.
BookDOI
Handbook of Simulation
Eric R. Ziegel,Jerry Banks +1 more
TL;DR: The Abstract Object class defines and characterizes all the essential properties every class in this design has in this 404 OBJECT-ORIENTED SIMULATION.
Proceedings ArticleDOI
Validation and verification of simulation models
TL;DR: Four different approaches to deciding model validity are described, and a recommended procedure for model validation is presented, as well as various validation techniques defined.
Proceedings ArticleDOI
Verification and validation of simulation models
TL;DR: In this article, verification and validation of simulation models are discussed, and four different approaches to deciding model validity are described; various validation techniques are defined; conceptual model validity, model verification, operational validity and data validity are discussed; a way to document results is given; a recommended procedure for model validation is presented; and accreditation is briefly discussed.
References
More filters
Book
Multivariate statistical methods
TL;DR: In this article, a text designed to make multivariate techniques available to behavioural, social, biological and medical students is presented, which includes an approach to multivariate inference based on the union-intersection and generalized likelihood ratio principles.
Book
Statistical Quality Control
TL;DR: This title is a substantial revision of one of the leading textbooks designed for the statistical quality control course taught in departments of industrial engineering, operations research and statistics and has incorporated key organizational changes in order to reflect recent trends in the field.