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The Resource Advances in stochastic simulation methods, N. Balakrishnan, V.B. Melas, S. Ermakov, editors

Advances in stochastic simulation methods, N. Balakrishnan, V.B. Melas, S. Ermakov, editors

Label
Advances in stochastic simulation methods
Title
Advances in stochastic simulation methods
Statement of responsibility
N. Balakrishnan, V.B. Melas, S. Ermakov, editors
Contributor
Subject
Genre
Language
eng
Member of
Cataloging source
DLC
Dewey number
519.5
Illustrations
illustrations
Index
index present
LC call number
QA276.4
LC item number
.A29 2000
Literary form
non fiction
Nature of contents
bibliography
http://library.link/vocab/relatedWorkOrContributorDate
1956-
http://library.link/vocab/relatedWorkOrContributorName
  • Balakrishnan, N.
  • Melas, V. B.
  • Ermakov, S. M.
Series statement
Statistics for industry and technology
http://library.link/vocab/subjectName
  • Mathematical statistics
  • Mathematical models
  • Computer simulation
Label
Advances in stochastic simulation methods, N. Balakrishnan, V.B. Melas, S. Ermakov, editors
Instantiates
Publication
Bibliography note
Includes bibliographical references and index
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • 3.
  • Estimation Errors for Functionals on Measure Spaces
  • N. Golyandina and V. Nekrutkin.
  • 4.
  • The Multilevel Method of Dependent Tests
  • Stefan Heinrich.
  • 5.
  • Algebraic Modelling and Performance Evaluation of Acyclic Fork-Join Queueing Networks
  • Nikolai K. Krivulin
  • pt. II.
  • pt. I.
  • Experimental Designs.
  • 6.
  • Analytical Theory of E-Optimal Designs for Polynomial Regression
  • V.B. Melas.
  • 7.
  • Bias Constrained Minimax Robust Designs for Misspecified Regression Models
  • Douglas P. Wiens
  • Simulation Models.
  • 1.
  • Solving the Nonlinear Algebraic Equations with Monte Carlo Method
  • S. Ermakov and I. Kaloshin.
  • 2.
  • Monte Carlo Algorithms For Neumann Boundary Value Problem Using Fredholm Representation
  • Y.N. Kashtanov and I.N. Kuchkova.
Control code
43937004
Dimensions
26 cm
Extent
xxvi, 386 pages
Isbn
9783764341077
Lccn
00039791
Media category
unmediated
Media MARC source
rdamedia
Media type code
  • n
Other physical details
illustrations
Label
Advances in stochastic simulation methods, N. Balakrishnan, V.B. Melas, S. Ermakov, editors
Publication
Bibliography note
Includes bibliographical references and index
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • 3.
  • Estimation Errors for Functionals on Measure Spaces
  • N. Golyandina and V. Nekrutkin.
  • 4.
  • The Multilevel Method of Dependent Tests
  • Stefan Heinrich.
  • 5.
  • Algebraic Modelling and Performance Evaluation of Acyclic Fork-Join Queueing Networks
  • Nikolai K. Krivulin
  • pt. II.
  • pt. I.
  • Experimental Designs.
  • 6.
  • Analytical Theory of E-Optimal Designs for Polynomial Regression
  • V.B. Melas.
  • 7.
  • Bias Constrained Minimax Robust Designs for Misspecified Regression Models
  • Douglas P. Wiens
  • Simulation Models.
  • 1.
  • Solving the Nonlinear Algebraic Equations with Monte Carlo Method
  • S. Ermakov and I. Kaloshin.
  • 2.
  • Monte Carlo Algorithms For Neumann Boundary Value Problem Using Fredholm Representation
  • Y.N. Kashtanov and I.N. Kuchkova.
Control code
43937004
Dimensions
26 cm
Extent
xxvi, 386 pages
Isbn
9783764341077
Lccn
00039791
Media category
unmediated
Media MARC source
rdamedia
Media type code
  • n
Other physical details
illustrations

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      38.944491 -92.326012
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