Advances in Stochastic Simulation Methods
This is a volume consisting of selected papers that were presented at the 3rd St. Petersburg Workshop on Simulation held at St. Petersburg, Russia, during June 28-July 3, 1998. The Workshop is a regular international event devoted to mathematical problems of simulation and applied statistics organiz...
Other Authors: | , , |
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Format: | eBook |
Language: | English |
Published: |
Boston, MA
Birkhäuser
2000, 2000
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Edition: | 1st ed. 2000 |
Series: | Statistics for Industry and Technology
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Subjects: | |
Online Access: | |
Collection: | Springer Book Archives -2004 - Collection details see MPG.ReNa |
Table of Contents:
- 13 On the Use of Symmetry in Optimal Design of Experiments
- III: Statistical Inference
- 14 Higher Order Moments of Order Statistics from the Pareto Distribution and Edgeworth Approximate Inference
- 15 Higher Order Moments of Order Statistics from the Power Function Distribution and Edgeworth Approximate Inference
- 16 Selecting from Normal Populations the One with the Largest Absolute Mean: Comon Unknown Variance Case
- 17 Conditional Inference for the Parameters of Pareto Distributions when Observed Samples are Progressively Censored
- IV: Applied Statistics and Related Topics
- 18 On Randomizing Estimators in Linear Regression Models
- 19 Nonstationary Generalized Automata with Periodically Variable Parameters and Their Optimization
- 20 Power of Some Asymptotic Tests for Maximum Entropy
- 21 Partially Inversion of Functions forStatistical Modelling of Regulatory Systems
- 22 Simple Efficient Estimation for Three-Parameter Lognormal Distributions with pplications to Emissions Data and State Traffic Rate Data
- I: Simulation Models
- 1 Solving the Nonlinear Algebraic Equations with Monte Carlo Method
- 2 Monte Carlo Algorithms For Neumann Boundary Value Problem Using Fredholm Representation
- 3 Estimation Errors for Functionals on Measure Spaces
- 4 The Multilevel Method of Dependent Tests
- 5 Algebraic Modelling and Performance Evaluation of Acyclic Fork-Join Queueing Networks
- II: Experimental Designs
- 6 Analytical Theory of E-Optimal Designs for Polynomial Regression
- 7 Bias Constrained Minimax Robust Designs for Misspecified Regression Models
- 8 A Comparative Study of MV- and SMV-Optimal Designs for Binary Response Models
- 9 On the Criteria for Experimental Design in Nonlinear Error-In-Variables Models
- 10 On Generating and Classifying all q71-m-1Regularly Blocked Factional Designs
- 11 Locally Optimal Designs in Non-Linear Regression: A Case Study of the Michaelis-Menten Function
- 12 D-Optimal Designs for Quadratic Regression Models