Search Results - "Leemis, Lawrence M."

Ensemble confidence intervals for binomial proportions by Park, Hayeon, Leemis, Lawrence M.

“…We propose two measures of performance for a confidence interval for a binomial proportion p: the root mean squared error and the mean absolute deviation. We…”
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Computing the distribution of the product of two continuous random variables by Glen, Andrew G., Leemis, Lawrence M., Drew, John H.

“…We present an algorithm for computing the probability density function of the product of two independent random variables, along with an implementation of the…”
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RMSE-minimizing confidence intervals for the binomial parameter by Feng, Kexin, Leemis, Lawrence M., Sasinowska, Heather

“…Let X be the number of successes in n mutually independent and identically distributed Bernoulli trials, each with probability of success p . For fixed n and α…”
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Structuring a Simulation Course Around the simEd Package for R by Lawson, Barry, Leemis, Lawrence M.

“…The simEd package in R provides a number of functions - including text-based, visualization, and animation functions - that can be useful in teaching a course…”
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The Ease of Fitting but Futility of Testing a Nonstationary Poisson Processes from One Sample Path by Nelson, Barry L., Leemis, Lawrence M.

“…The nonstationary Poisson process (NSPP) is a workhorse tool for modeling and simulating arrival processes with time-dependent rates. In many applications only…”
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Animation for Simulation Education in R by Kudlay, Vadim, Lawson, Barry, Leemis, Lawrence M.

“…R is freely-available software for statistical computing, providing a variety of statistical analysis functionality. In prior work, we introduced and released…”
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Univariate Distribution Relationships by Leemis, Lawrence M, McQueston, Jacquelyn T

“…Probability distributions are traditionally treated separately in introductory mathematical statistics textbooks. A figure is presented here that shows…”
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A Comparison of Approximate Interval Estimators for the Bernoulli Parameter by Leemis, Lawrence M., Trivedi, Kishor S.

“…We compare the accuracy of two approximate confidence interval estimators for the Bernoulli parameter p. The approximate confidence intervals are based on the…”
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The logistic-exponential survival distribution by Lan, Yingjie, Leemis, Lawrence M.

“…For various parameter combinations, the logistic–exponential survival distribution belongs to four common classes of survival distributions: increasing failure…”
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Applying Bootstrap Methods to System Reliability by Marks, Christopher E., Glen, Andrew G., Robinson, Matthew W., Leemis, Lawrence M.

“…We present a fully enumerated bootstrap method to find the empirical system lifetime distribution for a coherent system modeled by a reliability block diagram…”
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Discrete-event simulation using R by Lawson, Barry, Leemis, Lawrence M.

“…R is a free software package with extensive statistical capability, customizable graphics, and both imperative and vectorized programming capabilities. For use…”
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Rectangles algorithm for generating normal variates by Zhang, Rui, Leemis, Lawrence M.

“…We propose an algorithm for generating normal random variates that is based on the acceptance–rejection method and uses a piecewise majorizing function. The…”
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Nonparametric Estimation of the Cumulative Intensity Function for a Nonhomogeneous Poisson Process by Leemis, Lawrence M

“…A nonparametric technique for estimating the cumulative intensity function of a nonhomogeneous Poisson process from one or more realizations is developed. This…”
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Symbolic ARMA Model Analysis by Webb, Keith H., Leemis, Lawrence M.

“…ARMA models provide a parsimonious and flexible mechanism for modeling the evolution of a time series. Some useful measures of these models (e.g., the…”
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The Distribution of the Kolmogorov-Smirnov, Cramer-von Mises, and Anderson-Darling Test Statistics for Exponential Populations with Estimated Parameters by Evans, Diane L., Drew, John H., Leemis, Lawrence M.

“…This article presents a derivation of the distribution of the Kolmogorov-Smirnov, Cramer-von Mises, and Anderson-Darling test statistics in the case of…”
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Managing magnetic resonance imaging machines: support tools for scheduling and planning by Carpenter, Adam P., Leemis, Lawrence M., Papir, Alan S., Phillips, David J., Phillips, Grace S.

“…We devise models and algorithms to estimate the impact of current and future patient demand for examinations on Magnetic Resonance Imaging (MRI) machines at a…”
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Survival Distributions Satisfying Benford's Law by Leemis, Lawrence M., Schmeiser, Bruce W., Evans, Diane L.

“…Hill stated that "An interesting open problem is to determine which common distributions (or mixtures thereof) satisfy Benford's law ...". This article…”
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Nonparametric Estimation of the Cumulative Intensity Function for a Nonhomogeneous Poisson Process from Overlapping Realizations by Arkin, Bradford L, Leemis, Lawrence M

“…A nonparametric technique for estimating the cumulative intensity function of a nonhomogeneous Poisson process from one or more realizations on an interval is…”
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Minimum Kolmogorov-Smirnov test statistic parameter estimates by Weber, Michael D., Leemis, Lawrence M., Kincaid, Rex K.

“…We present and implement an algorithm for computing the parameter estimates in a univariate probability model for a continuous random variable that minimizes…”
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Computing the cumulative distribution function of the Kolmogorov–Smirnov statistic by Drew, John H., Glen, Andrew G., Leemis, Lawrence M.

“…We present an algorithm for computing the cumulative distribution function of the Kolmogorov–Smirnov test statistic D n in the all-parameters-known case…”
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