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Lawrence Leemis
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2020 – today
- 2022
- [j20]Kexin Feng, Lawrence M. Leemis, Heather Sasinowska:
RMSE-minimizing confidence intervals for the binomial parameter. Comput. Stat. 37(4): 1855-1885 (2022) - 2021
- [c28]Barry Lawson, Lawrence M. Leemis:
Structuring a Simulation Course Around the simEd Package for R. WSC 2021: 1-12 - 2020
- [c27]Barry L. Nelson, Lawrence M. Leemis:
The Ease of Fitting but Futility of Testing a Nonstationary Poisson Processes from One Sample Path. WSC 2020: 266-276 - [c26]Vadim Kudlay, Barry Lawson, Lawrence M. Leemis:
Animation for Simulation Education in R. WSC 2020: 3260-3271
2010 – 2019
- 2019
- [j19]Christopher Weld
, Lawrence Leemis:
Mixed-type distribution plots. Inf. Vis. 18(3) (2019) - 2017
- [c25]Christopher Weld, Lawrence Leemis:
Modeling mixed type random variables. WSC 2017: 1595-1606 - [c24]Barry Lawson, Lawrence M. Leemis:
An R package for simulation education. WSC 2017: 4175-4186 - 2016
- [c23]Andrew G. Glen, Lawrence M. Leemis, Daniel J. Luckett:
Survival distributions based on the incomplete gamma function ratio. WSC 2016: 382-388 - 2015
- [c22]Barry Lawson, Lawrence M. Leemis:
Discrete-event simulation using R. WSC 2015: 3502-3513 - 2014
- [c21]Lawrence M. Leemis:
Computational probability applications. WSC 2014: 51-65 - [c20]David M. Nicol, Lawrence M. Leemis:
A continuous piecewise-linear NHPP intensity function estimator. WSC 2014: 498-509 - 2012
- [j18]William Kaczynski, Lawrence M. Leemis, Nicholas A. Loehr, J. McQueston:
Nonparametric Random Variate Generation Using a Piecewise-Linear Cumulative Distribution Function. Commun. Stat. Simul. Comput. 41(4): 449-468 (2012) - [j17]William Kaczynski, Lawrence M. Leemis, Nicholas A. Loehr, J. McQueston:
Bivariate Nonparametric Random Variate Generation Using a Piecewise-Linear Cumulative Distribution Function. Commun. Stat. Simul. Comput. 41(4): 469-496 (2012) - [j16]Jeff X. Yang, John H. Drew, Lawrence M. Leemis:
Automating Bivariate Transformations. INFORMS J. Comput. 24(1): 1-9 (2012) - [j15]William Kaczynski, Lawrence M. Leemis, John H. Drew:
Transient Queueing Analysis. INFORMS J. Comput. 24(1): 10-28 (2012) - [j14]Evan A. Saltzman, John H. Drew, Lawrence M. Leemis, Shane G. Henderson:
Simulating Multivariate Nonhomogeneous Poisson Processes Using Projections. ACM Trans. Model. Comput. Simul. 22(3): 15:1-15:13 (2012) - 2011
- [j13]Sanku Dey, Tanujit Dey, Lawrence Leemis:
Bayesian estimation of the parameter of a generalized geometric series distribution under different prior distributions and loss functions. Model. Assist. Stat. Appl. 6(2): 111-119 (2011) - [r2]Lawrence M. Leemis:
Relationships Among Univariate Statistical Distributions. International Encyclopedia of Statistical Science 2011: 1214-1217 - 2010
- [c19]Lawrence Leemis:
Reliability Models. QEST 2010: 308 - [c18]William Kaczynski, Lawrence M. Leemis, John H. Drew:
Modeling and analyzing transient military air traffic control. WSC 2010: 1395-1406
2000 – 2009
- 2009
- [c17]Barry Lawson, Lawrence Leemis:
Simulation Fundamentals. WSC 2009: 239-247 - 2008
- [j12]Diane L. Evans, John H. Drew, Lawrence M. Leemis:
The Distribution of the Kolmogorov-Smirnov, Cramer-von Mises, and Anderson-Darling Test Statistics for Exponential Populations with Estimated Parameters. Commun. Stat. Simul. Comput. 37(7): 1396-1421 (2008) - [j11]A. Daniel Block, Lawrence Leemis:
Parametric Model Discrimination for Heavily Censored Survival Data. IEEE Trans. Reliab. 57(2): 248-259 (2008) - [c16]Barry Lawson, Lawrence Leemis:
Monte Carlo and discrete-event simulations in C and R. WSC 2008: 11-16 - 2007
- [c15]Barry Lawson, Lawrence Leemis:
Simulation 101 software: workshop and beyond. WSC 2007: 233-236 - 2006
- [j10]Diane L. Evans, Lawrence M. Leemis, John H. Drew:
The Distribution of Order Statistics for Discrete Random Variables with Applications to Bootstrapping. INFORMS J. Comput. 18(1): 19-30 (2006) - [j9]Lawrence M. Leemis, Matthew J. Duggan, John H. Drew, Jeffrey A. Mallozzi, Kerry W. Connell:
Algorithms to calculate the distribution of the longest path length of a stochastic activity network with continuous activity durations. Networks 48(3): 143-165 (2006) - [p1]Lawrence M. Leemis:
Chapter 6 Arrival Processes, Random Lifetimes and Random Objects. Simulation 2006: 155-180 - 2005
- [c14]Matthew J. Duggan, John H. Drew, Lawrence M. Leemis:
A test of randomness based on the distance between consecutive random number pairs. WSC 2005: 741-748 - 2004
- [j8]Andrew G. Glen, Lawrence M. Leemis, John H. Drew:
Computing the distribution of the product of two continuous random variables. Comput. Stat. Data Anal. 44(3): 451-464 (2004) - [j7]Diane L. Evans, Lawrence M. Leemis:
Algorithms for computing the distributions of sums of discrete random variables. Math. Comput. Model. 40(13): 1429-1452 (2004) - [c13]Lawrence Leemis:
Building Credible Input Models. WSC 2004: 29-40 - 2003
- [c12]Lawrence Leemis:
Input modeling: input modeling. WSC 2003: 14-24 - 2002
- [j6]Lawrence Leemis:
Computing the nonparametric estimator of the survivor function when all observations are either left- or right-censored with tied observation times. Comput. Oper. Res. 29(5): 423-431 (2002) - [c11]Russell R. Barton, Stephen E. Chick, Russell C. H. Cheng, Shane G. Henderson, Averill M. Law, Bruce W. Schmeiser, Lawrence M. Leemis, Lee Schruben, James R. Wilson:
Panel discussion on current issues in input modeling: panel on current issues in simulation input modeling. WSC 2002: 353-369 - [c10]Matthew Rosenshine, Russell R. Barton, David Goldsman, Lawrence M. Leemis, Barry L. Nelson:
Panel discussion on using simulation to teach probability: words and deeds: panel: using simulation to teach probability, session 1: words, session 2: deeds. WSC 2002: 1815-1822 - 2001
- [j5]Andrew G. Glen, Lawrence M. Leemis, Donald R. Barr:
Order statistics in goodness-of-fit testing. IEEE Trans. Reliab. 50(2): 209-213 (2001) - [c9]Lawrence Leemis:
Input modeling: input modeling techniques for discrete-event simulations. WSC 2001: 62-73 - 2000
- [c8]Lawrence Leemis:
Input modeling. WSC 2000: 17-25 - [c7]Diane L. Evans, Lawrence M. Leemis:
Input modeling using a computer algebra system. WSC 2000: 577-586
1990 – 1999
- 1999
- [c6]Lawrence Leemis:
Simulation input modeling. WSC 1999: 14-23 - [r1]Joseph R. Barr, Peter R. Turner, Patrick Jaillet, Vidyadhar G. Kulkarni, Lawrence M. Leemis:
Discrete Probability. Handbook of Discrete and Combinatorial Mathematics 1999 - 1998
- [c5]Lawrence Leemis:
Input Modeling. WSC 1998: 15-22 - 1997
- [j4]Andrew G. Glen, Lawrence M. Leemis, John H. Drew:
A Generalized Univariate Change-of-Variable Transformation Technique. INFORMS J. Comput. 9(3): 288-295 (1997) - [c4]Lawrence Leemis:
Seven Habits of Highly Successful Input Modelers. WSC 1997: 39-46 - 1996
- [j3]G. Hartless, Lawrence Leemis:
Computational algebra applications in reliability theory. IEEE Trans. Reliab. 45(3): 393-399 (1996) - [c3]Lawrence Leemis:
Discrete-Event Simulation Input Process Modeling. WSC 1996: 39-46 - 1995
- [c2]Lawrence Leemis:
Input Modeling for Discrete-Event Simulation. WSC 1995: 16-23 - 1994
- [c1]Lawrence Leemis:
Input modeling. WSC 1994: 55-61 - 1990
- [j2]Lawrence Leemis, Adedeji B. Badiru, B. L. Foote, A. Ravindran, Larry Williams:
Job shop configuration optimization at Tinker Air Force Base. Simul. 54(6): 287-290 (1990)
1980 – 1989
- 1987
- [j1]Lawrence M. Leemis:
Technical Note - Variate Generation for Accelerated Life and Proportional Hazards Models. Oper. Res. 35(6): 892-894 (1987)
Coauthor Index
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