Bruce W. Schmeiser

发表

Inverse-Transformation Algorithms For Some Common Stochastic Processes

Bruce W. Schmeiser, Wheyming Tina Song, 1989, 1989 Winter Simulation Conference Proceedings.

Integer-Ordered Simulation Optimization using R-SPLINE: Retrospective Search with Piecewise-Linear Interpolation and Neighborhood Enumeration

Honggang Wang, Raghu Pasupathy, Bruce W. Schmeiser, 2013, TOMC.

On the robustness of batching estimators

Bruce W. Schmeiser, Yingchieh Yeh, B. Schmeiser, 2004, Oper. Res. Lett..

Simulation education (panel session)

Lee W. Schruben, Voratas Kachitvichyanukul, George S. Fishman, 1988, WSC '88.

Statistical issues in simulation research

James R. Wilson, Bruce W. Schmeiser, Peter A. W. Lewis, 1982, Winter Simulation Conference.

Developing a national allocation model for cadaveric kidneys

Bruce W. Schmeiser, Sarah E. Taranto, Ann M. Harper, 2000, 2000 Winter Simulation Conference Proceedings (Cat. No.00CH37165).

Interlaced Variance Estimators

Bruce W. Schmeiser, Demet Ceylan, 1993, Proceedings of 1993 Winter Simulation Conference - (WSC '93).

Minimal-MSE linear combinations of variance estimators of the sample mean

Bruce W. Schmeiser, Wheyming Tina Song, 1988, WSC '88.

Various ways academics teach simulation: are they all appropriate?

Lee W. Schruben, James R. Wilson, Barry L. Nelson, 2001, Proceeding of the 2001 Winter Simulation Conference (Cat. No.01CH37304).

Technical Note - Generation of Variates from Distribution Tails

Bruce W. Schmeiser, 1980, Oper. Res..

Correlation induction without the inverse transformation

Voratas Kachitvichyanukul, Bruce W. Schmeiser, B. Schmeiser, 1986, WSC '86.

Algorithm 668: H2PEC: sampling from the hypergeometric distribution

Voratas Kachitvichyanukul, Bruce W. Schmeiser, 1988, TOMS.

Issues on simulation and optimization II: some issues in multivariate stochastic root finding

Raghu Pasupathy, Bruce W. Schmeiser, R. Pasupathy, 2003, WSC '03.

Beta Variate Generation via Exponential Majorizing Functions

Bruce W. Schmeiser, A. J. G. Babu, 1980, Oper. Res..

Rejection Using Piece-Wise Linear Majorizing Functions in Random Variate Generation

Bruce W. Schmeiser, Mohamed A. Shalaby, 1978 .

Panel on current issues in simulation input modeling

Lawrence Leemis, Lee W. Schruben, Russell R. Barton, 2002, Proceedings of the Winter Simulation Conference.

Omitting meaningless digits: Analyzing LDR(1), The standard leading-digit rule

Bruce W. Schmeiser, Wheyming Tina Song, 2009, Proceedings of the 2009 Winter Simulation Conference (WSC).

Time-dependent queueing network approximations as simulation external control variates

Bruce W. Schmeiser, Michael R. Taaffe, 1994, Oper. Res. Lett..

Algorithm 678: BTPEC: sampling from the binomial distribution

Voratas Kachitvichyanukul, Bruce W. Schmeiser, 1989, TOMS.

Displaying statistical point estimators: The leading-digit procedure

Bruce W. Schmeiser, Wheyming Tina Song, 2008, 2008 Winter Simulation Conference.

Derivative estimation with known control-variate variances

Bruce W. Schmeiser, Jamie R. Wieland, 2007, 2007 Winter Simulation Conference.

Simulation Education (Panel)

Lee W. Schruben, Voratas Kachitvichyanukul, George S. Fishman, 1988 .

Overlapping batch statistics

Bruce W. Schmeiser, Sherif Hashem, Thanos N. Avramidis, 1990, 1990 Winter Simulation Conference Proceedings.

Graphical Methods for Evaluating and Comparing Confidence-Interval Procedures

Bruce W. Schmeiser, Keebom Kang, B. Schmeiser, 1990, Oper. Res..

Simulation output analysis: a tutorial based on one research thread

Bruce W. Schmeiser, 2004, Proceedings of the 2004 Winter Simulation Conference, 2004..

On the performance of pure adaptive search

Jin Wang, Bruce W. Schmeiser, 1995, WSC '95.

Panel: simulation environment: simulation environment for the new millennium (panel)

Voratas Kachitvichyanukul, Ricki G. Ingalls, Bruce W. Schmeiser, 2001, WSC '01.

Input modeling: estimation using event count data

Bruce W. Schmeiser, Ronald Dattero, B. Schmeiser, 1982, WSC.

OBM confidence intervals: Something for nothing?

Bruce W. Schmeiser, Yingchieh Yeh, 2015, 2015 Winter Simulation Conference (WSC).

Optimal linear combinations of neural networks: an overview

Bruce W. Schmeiser, Yuehwern Yih, S. Hashem, 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

Overlapping batch means: something for nothing?

Bruce W. Schmeiser, Marc S. Meketon, B. Schmeiser, 1984, WSC '84.

Consistency of overlapping batch variances

Bruce W. Schmeiser, Demet Ceylan Wood, 1994, Proceedings of Winter Simulation Conference.

Analysis methodology: are we done? [discrete-event simulation]

Lee W. Schruben, Sigrún Andradóttir, Bruce W. Schmeiser, 2005, Proceedings of the Winter Simulation Conference, 2005..

Retrospective approximation algorithms for stochastic root finding

Bruce W. Schmeiser, Huifen Chen, 1994, Proceedings of Winter Simulation Conference.

Panel on current issues in simulation modelling

Lee W. Schruben, Russell R. Barton, Bruce W. Schmeiser, 2002 .

Retrospective approximation algorithms for the multidimensional stochastic root-finding problem

Raghu Pasupathy, Bruce W. Schmeiser, R. Pasupathy, 2004, Proceedings of the 2004 Winter Simulation Conference, 2004..

Methods for modelling and generating probabilistic components in digital computer simulation when the standard distributions are not adequate: A survey

Bruce W. Schmeiser, B. Schmeiser, 1977, WSC '77.

Alternative approaches for specifying input distributions and processes

John Meszaros, James R. Wilson, Mark E. Johnson, 1990, 1990 Winter Simulation Conference Proceedings.

Improving model accuracy using optimal linear combinations of trained neural networks

Bruce W. Schmeiser, Sherif Hashem, B. Schmeiser, 1995, IEEE Trans. Neural Networks.

Variance reduction: Basic transformations

Barry L. Nelson, Bruce W. Schmeiser, B. Nelson, 1983, WSC '83.

SERVO: Simulation experiments with random-vector output

Bruce W. Schmeiser, Mark D. Scott, 1991, 1991 Winter Simulation Conference Proceedings..

Inverse-Transformation Algorithms For Some Common Stochastic Processes

Bruce W. Schmeiser, Wheyming Tina Song, 1989 .

Simulation of Poisson processes with trigonometric rates

Bruce W. Schmeiser, Huifen Chen, Huifen Chen, 1992, WSC '92.

I-SMOOTH: Iteratively smoothing piecewise-constant Poisson-process rate functions

Bruce W. Schmeiser, Huifen Chen, Huifen Chen, 2011, Proceedings of the 2011 Winter Simulation Conference (WSC).

Computational efficiency of batching methods

Bruce W. Schmeiser, David Goldsman, 1997, WSC '97.

Analytic representation of simulation (Panel)

Bruce W. Schmeiser, 1984, WSC '84.

Algorithm 727: Quantile estimation using overlapping batch statistics

Bruce W. Schmeiser, Sherif Hashem, 1994, TOMS.

The initial transient in steady-state point estimation: Contexts, a bibliography, the mse criterion, and the MSER statistic

Raghu Pasupathy, Bruce W. Schmeiser, R. Pasupathy, 2010, Proceedings of the 2010 Winter Simulation Conference.

Overlapping batch means: something for nothing? (1984)

Bruce W. Schmeiser, Marc S. Meketon, 2007, WSC '07.

The MNO-PQRS poisson point process: Generating the next event time

Bruce W. Schmeiser, Huifen Chen, Huifen Chen, 2015, 2015 Winter Simulation Conference (WSC).

Binomial random variate generation

Voratas Kachitvichyanukul, Bruce W. Schmeiser, B. Schmeiser, 1988, CACM.

Batch Size Effects in the Analysis of Simulation Output

Bruce W. Schmeiser, B. Schmeiser, 1982, Oper. Res..

Evaluation and comparison methods for confidence interval procedures

Bruce W. Schmeiser, Keebom Kang, 1983, WSC '83.

Correlation among estimators of the variance of the sample mean

Bruce W. Schmeiser, Wheyming Tina Song, 1987, WSC '87.

Symmetric -charts: Sensitivity to nonnormality and control-limit estimation

Bruce W. Schmeiser, Kwok-Leung Tsui, David Goldsman, 2017, Commun. Stat. Simul. Comput..

Analytic representations of simulation

Bruce W. Schmeiser, 1984, WSC '84.

Batching methods in simulation output analysis: what we know and what we don't

Bruce W. Schmeiser, Wheyming Tina Song, 1996, Winter Simulation Conference.

Discrete stochastic optimization using linear interpolation

Honggang Wang, Bruce W. Schmeiser, 2008, 2008 Winter Simulation Conference.

SIMULATION ENVIRONMENT FOR THE NEW MILLENNIUM (PANEL) Chair

Voratas Kachitvichyanukul, Ricki G. Ingalls, Bruce W. Schmeiser, 2001 .

The generation of order statistics in digital computer simulation: A survey

Bruce W. Schmeiser, B. Schmeiser, 1978, WSC '78.

Some myths and common errors in simulation experiments

Bruce W. Schmeiser, 2001, Proceeding of the 2001 Winter Simulation Conference (Cat. No.01CH37304).

Methods for selecting the best system

Barry L. Nelson, Bruce W. Schmeiser, David Goldsman, 1991, WSC '91.

Bivariate Gamma Random Vectors

Bruce W. Schmeiser, Ram Lal, B. Schmeiser, 1982, Oper. Res..

Root finding via DARTS — Dynamic Adaptive Random Target Shooting

Raghu Pasupathy, Bruce W. Schmeiser, R. Pasupathy, 2010, Proceedings of the 2010 Winter Simulation Conference.

Omitting Meaningless Digits in Point Estimates: The Probability Guarantee of Leading-Digit Rules

Bruce W. Schmeiser, Wheyming Tina Song, B. Schmeiser, 2009, Oper. Res..

The leading-digit procedure and format for displaying tables of simulation output

Bruce W. Schmeiser, Wheyming Tina Song, Yi-chun Chen, 2007, SCSC.

Random Process Generation.

Bruce W. Schmeiser, 1980 .

Random Variate Generation: A Survey.

Bruce W. Schmeiser, 1980 .

Advanced input modeling for simulation experimentation

Bruce W. Schmeiser, 1999, WSC '99.

Queueing network simulation analysis: queueing-network stability: simulation-based checking

Raghu Pasupathy, Bruce W. Schmeiser, Jamie R. Wieland, 2003, WSC '03.

Methods for selecting the best system (for simulation)

Barry L. Nelson, Bruce W. Schmeiser, David Goldsman, 1991, 1991 Winter Simulation Conference Proceedings..

An approximate method for generating symmetric random variables

Bruce W. Schmeiser, John S. Ramberg, B. Schmeiser, 1972, CACM.

Simulation output analysis via dynamic batch means

Bruce W. Schmeiser, Yingchieh Yeh, 2000, 2000 Winter Simulation Conference Proceedings (Cat. No.00CH37165).

A practitioner, a vender, and a researcher walk into a bar: Trying to explain what researchers do

Bruce W. Schmeiser, 2008, 2008 Winter Simulation Conference.

Chapter 7 Simulation experiments

Bruce W. Schmeiser, B. Schmeiser, 1990 .

Variance of the Sample Mean: Properties and Graphs of Quadratic-Form Estimators

Bruce W. Schmeiser, Wheyming Tina Song, B. Schmeiser, 1993, Oper. Res..

On the MSE robustness of batching estimators

Bruce W. Schmeiser, Yingchieh Yeh, B. Schmeiser, 2001, Proceeding of the 2001 Winter Simulation Conference (Cat. No.01CH37304).

Piecewise-quadratic rate smoothing: The cyclic context

Bruce W. Schmeiser, Huifen Chen, 2014, Proceedings of the Winter Simulation Conference 2014.

MISE-OPTIMAL GROUPING OF POINT-PROCESS DATA WITH A CONSTANT DISPERSION RATIO

Bruce W. Schmeiser, Huifen Chen, 2018, 2018 Winter Simulation Conference (WSC).

On choosing a single criterion for confidence-interval procedures

Bruce W. Schmeiser, Yingchieh Yeh, 2002, Proceedings of the Winter Simulation Conference.

Asymptotic and Finite-Sample Correlations Between Obm Estimators

Bruce W. Schmeiser, Antonio C. Pedrosa, B. Schmeiser, 1993, Proceedings of 1993 Winter Simulation Conference - (WSC '93).

Displaying statistical point estimates using the leading-digit rule

Bruce W. Schmeiser, Wheyming Tina Song, B. Schmeiser, 2011 .

Issues on simulation and optimization I: simulation-based retrospective optimization of stochastic systems: a family of algorithms

Bruce W. Schmeiser, Jihong Jin, 2003, WSC '03.

Random variate generation

Bruce W. Schmeiser, B. Schmeiser, 1981, WSC '81.

MNO--PQRS

Bruce W. Schmeiser, Huifen Chen, Huifen Chen, 2017 .

General Hit-and-Run Monte Carlo sampling for evaluating multidimensional integrals

Bruce W. Schmeiser, Ming-Hui Chen, B. Schmeiser, 1996, Oper. Res. Lett..

Sample space definition

Barry L. Nelson, Bruce W. Schmeiser, 1984, WSC '84.

Stochastic Gradient Estimation using a Single Design Point

Bruce W. Schmeiser, Jamie R. Wieland, B. Schmeiser, 2006, Proceedings of the 2006 Winter Simulation Conference.

Methods for selecting the best system (1991)

Barry L. Nelson, Bruce W. Schmeiser, David Goldsman, 2007, WSC '07.

Control Variates for Monte Carlo Analysis of Nonlinear Statistical Models, I: Overview

Bruce W. Schmeiser, James J. Swain, J. J. Swain, 1989 .

Properties of batch means from stationary ARMA time series

Bruce W. Schmeiser, Keebom Kang, B. Schmeiser, 1987 .

Interfaced variance estimators

Bruce W. Schmeiser, Demet Ceylan, 1993, WSC '93.

Monte carlo estimation for guaranteed-coverage non-normal tolerance intervals

Bruce W. Schmeiser, Huifen Chen, Huifen Chen, 1995 .

A family of heuristic solution methods for a class of nonlinear programming problems

Bruce W. Schmeiser, Leon Cooper, L. Cooper, 1977 .

Control-variate estimation using estimated control means

Raghu Pasupathy, Bruce W. Schmeiser, Michael R. Taaffe, 2012 .

Control variates for monte carlo analysis of nonlinear statistical models, II: raw moments and variances

Bruce W. Schmeiser, James J. Swain, 1988 .

Noninverse correlation induction: guidelines for algorithm development

Voratas Kachitvichyanukul, Bruce W. Schmeiser, B. Schmeiser, 1990 .

VAMP1RE: a single criterion for rating and ranking confidence-interval procedures

Bruce W. Schmeiser, Yingchieh Yeh, B. Schmeiser, 2015 .

Biased control-variate estimation

Bruce W. Schmeiser, Michael R. Taaffe, Jin Wang, 2001 .

Poisson Random Variate Generation.

Voratas Kachitvichyanukul, Bruce W. Schmeiser, B. Schmeiser, 1981 .

On the dispersion matrix of variance estimators of the sample mean in the analysis of simulation output

Bruce W. Schmeiser, Wheyming Tina Song, B. Schmeiser, 1988 .