Name
Papers
Collaborators
JAMES R. WILSON
108
147
Citations 
PageRank 
Referers 
840
143.42
852
Referees 
References 
341
615
Search Limit
100852
Title
Citations
PageRank
Year
Sequest: A Sequential Procedure for Estimating Quantiles in Steady-State Simulations10.352019
Multifractal detrended fluctuation analysis: Practical applications to financial time series.00.342016
Sequem: estimating extreme steady-state quantiles via the maximum transformation.10.362015
Sequest: a sequential procedure for estimating steady-state quantiles.00.342014
A sequential procedure for estimating the steady-state mean using standardized time series30.462013
Multifractal analysis of agent-based financial markets.20.512013
A retrospective oral history of computer simulation: Progress report00.342013
Combined DES/SD simulaton model of breast cancer screening for older women: An overview.10.392013
ARD: An automated replication-deletion method for simulation analysis.00.342013
A new perspective on batched quantile estimation60.572012
Analysis of market returns using multifractal time series and agent-based simulation30.942012
Analysis of market returns using multifractal time series and agent-based simulation00.342012
On the mean-squared error of variance estimators for computer simulations30.402011
Performance of Skart: A Skewness-and Autoregression-Adjusted Batch Means Procedure for Simulation Analysis70.552011
Overlapping Batch Means: Something more for Nothing?20.422011
A brief history of simulation revisited80.642010
Univariate input models for stochastic simulation60.662010
Performance comparison of MSER-5 and N-Skart on the simulation start-up problem40.522010
Introduction to modeling and generating probabilistic input processes for simulation191.742009
N-Skart: A Nonsequential Skewness- and Autoregression-adjusted Batch-means Procedure for Simulation Analysis40.532009
Smooth flexible models of nonhomogeneous poisson processes using one or more process realizations40.582008
Skart: a skewness-and autoregression-adjusted batch-means procedure for simulation analysis201.172008
Confidence interval estimation using linear combinations of overlapping variance estimators00.342007
Linear combinations of overlapping variance estimators for simulation70.562007
Performance of a Wavelet-Based Spectral Procedure for Steady-State Simulation Analysis111.192007
Folded standardized time series area variance estimators for simulation20.422007
Organ transplantation policy evaluation (1995)00.342007
Efficient Computation of Overlapping Variance Estimators for Simulation241.232007
Clinic: correlated inputs in an automotive paint shop fire risk simulation20.372007
Editor's introduction: Special issue honoring Perwez Shahabuddin00.342007
SBatch: a spaced batch means procedure for simulation analysis30.502007
Performance evaluation of spectral procedures for simulation analysis00.342006
Introduction To Modeling And Generating Probabilistic Input Processes For Simulation00.342006
A wavelet-based spectral procedure for steady-state simulation analysis231.552006
An Automated Multiresolution Procedure for Modeling Complex Arrival Processes111.202006
Introduction to modeling and generating probabilistic input processes for simulation161.252005
Performance evaluation of ASAP3 for steady-state output analysis10.382005
ASAP3: a batch means procedure for steady-state simulation analysis433.672005
Operations Research 2004 Meritorious Service Award Recipients and Appreciation to 2004 Referees00.342005
Case study on statistically estimating minimum makespan for flow line scheduling problems60.492004
Steady-state simulation analysis using ASAP350.772004
Performance evaluation of a wavelet-based spectral method for steady-state simulation analysis50.872004
Future of the simulation industry, panel: the future of the simulation industry31.342003
Simulation input modeling: a flexible automated procedure for modeling complex arrival processes00.342003
Simulation output analysis: a wavelet-based spectral method for steady-state simulation analysis80.852003
An Improved Batch Means Procedure for Simulation Output Analysis.212.192002
Panel discussion on current issues in input modeling: panel on current issues in simulation input modeling80.662002
An efficient and flexible mechanism for constructing membership functions161.532002
Output analysis: ASAP2: an improved batch means procedure for simulation output analysis81.012002
Panel: academic perspectives: various ways academics teach simulation: are they all appropriate?70.962001
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