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Simulation: statistical foundations and methodology
Title:
Simulation: statistical foundations and methodology
Author:
Mihram, G. Arthur (George Arthur), 1939-
ISBN:
9780080956015
Personal Author:
Publication Information:
New York, Academic Press, 1972.
Physical Description:
1 online resource (xv, 526 pages) illustrations.
Series:
Mathematics in science and engineering, v. 92
Mathematics in science and engineering ; v. 92.
Contents:
Models -- Stochastic variate -- Time series -- Monte Carlo method -- Modeling -- Fundamentals of simular experimentation -- Experimental designs for qualitative factors -- Experimental designs for quantitative factors -- Search for optimal system conditions -- Simulation as a stochastic process -- Vistas in simulation.
Abstract:
In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrange interpolation; methods of system representation subject to constraints associated with concepts of causality, memory and stationarity; methods of system representation with an accuracy that is the best within a given class of models; methods of covariance matrix estimation;methods for low-rank.
Genre:
Electronic Access:
ScienceDirect http://www.sciencedirect.com/science/book/9780124959507 ScienceDirect http://www.sciencedirect.com/science/bookseries/00765392/92 ScienceDirect https://www.sciencedirect.com/science/publication?issn=00765392&volume=92Available:*
Shelf Number | Item Barcode | Shelf Location | Status |
|---|---|---|---|
| TA343 .M53 | 1192401-1001 | Elsevier E-Book Collections | Searching... |
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