Author
James J. Swain
Other affiliations: Georgia Institute of Technology, University of Alabama, University of Miami ...read more
Bio: James J. Swain is an academic researcher from University of Alabama in Huntsville. The author has contributed to research in topics: Control variates & Variance reduction. The author has an hindex of 13, co-authored 45 publications receiving 871 citations. Previous affiliations of James J. Swain include Georgia Institute of Technology & University of Alabama.
Papers
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TL;DR: Compared to traditional methods of distribution fitting based on moment matching, percentile matching, L 1 estimation, and L ⌆ estimation, the least-squares technique is seen to yield fits of similar accuracy and to converge more rapidly and reliably to a set of acceptable parametre estimates.
Abstract: To summarize a set of data by a distribution function in Johnson's translation system, we use a least-squares approach to parameter estimation wherein we seek to minimize the distance between the vector of "uniformized" oeder statistics and the corresponding vector of expected values. We use the software package FITTRI to apply this technique to three problems arising respectively in medicine, applied statistics, and civil engineering. Compared to traditional methods of distribution fitting based on moment matching, percentile matchingL 1 estimation, and L ⌆ estimation, the least-squares technique is seen to yield fits of similar accuracy and to converge more rapidly and reliably to a set of acceptable parametre estimates.
403 citations
TL;DR: An empirical study of the relationship between object-oriented (OO) metrics and error-severity categories is presented and threshold values for some OO metrics that separated no-error classes from classes that had high-impact errors are found.
Abstract: An empirical study of the relationship between object-oriented (OO) metrics and error-severity categories is presented. The focus of the study is to identify threshold values of software metrics using receiver operating characteristic curves. The study used the three releases of the Eclipse project and found threshold values for some OO metrics that separated no-error classes from classes that had high-impact errors. Although these thresholds cannot predict whether a class will definitely have errors in the future, they can provide a more scientific method to assess class error proneness and can be used by engineers easily. Copyright © 2009 John Wiley & Sons, Ltd.
The focus of the study is to identify threshold values of software metrics using ROC curves. The study used the three releases of the Eclipse project and found threshold values for some object-oriented metrics that separated no-error classes from classes that had high-impact errors. Although these thresholds cannot predict whether a class will definitely have errors in the future, they can provide a more scientific method to assess class error proneness and can be used by engineers easily. Copyright © 2009 John Wiley & Sons, Ltd.
87 citations
TL;DR: In this article, a family of tests to detect the presence of a transient mean in a simulation process is presented, which can be viewed as natural generalizations of some previously published work.
Abstract: We present a family of tests to detect the presence of a transient mean in a simulation process. These tests compare variance estimators from different parts of a simulation run, and are based on the methods of batch means and standardized time series. Our tests can be viewed as natural generalizations of some previously published work. We also include a power analysis of the new tests, as well as some illustrative examples. © 1994 John Wiley & Sons, Inc.
59 citations
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TL;DR: The spaced batch means (SBM) method attempts to reduce the bad effects of interbatch correlation by inserting spacers between the batches of observations by using an estimator for the variance parameter that is less biased than the corresponding BM estimator.
55 citations
TL;DR: In this article, a comparison among the Clements, the Johnson-Kotz-Pearn, and the weighted variance methods has been conducted by considering the Johnson family of distributions to generate non-normal distributions systematically.
Abstract: Process capability indices are widely used to quantify the ability of a process to produce results on target and within specification limits. The most commonly seen capability indices assume that measurements are taken from normally distributed populations. However, such normality-based capability indices are very sensitive to departures from normality. Therefore, another non-normality-based indices based on the weighted variance method have been developed to deal with non-normal processes in this paper. Also, a comparison among the Clements, the Johnson–Kotz–Pearn, and the weighted variance methods has been conducted by considering the Johnson family of distributions to generate non-normal distributions systematically. The results show that the Clements method becomes misleading when the underlying distribution is skewed. On the other hand, the performance of the Johnson–Kotz–Pearn method is far from the nominal values except for the log–normal cases with smaller values of kurtosis. On the other hand, the weighted variance method is the best estimator to estimate the nominal values in unbounded and log–normal cases for different combinations of skewness and kurtosis. It is concluded that the weighted variance method is the best among the three estimators, especially when the underlying distribution belongs to the log–normal and unbounded distributions of the Johnson family. Copyright © 2001 John Wiley & Sons, Ltd.
29 citations
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TL;DR: Convergence of Probability Measures as mentioned in this paper is a well-known convergence of probability measures. But it does not consider the relationship between probability measures and the probability distribution of probabilities.
Abstract: Convergence of Probability Measures. By P. Billingsley. Chichester, Sussex, Wiley, 1968. xii, 253 p. 9 1/4“. 117s.
5,689 citations
TL;DR: The Abstract Object class defines and characterizes all the essential properties every class in this design has in this 404 OBJECT-ORIENTED SIMULATION.
Abstract: Objects. The ~ b s t rac t ~ b j ect forms the fundamental base class for the entire design and all other classes are derived from this base class. The Abstract Object class defines and characterizes all the essential properties every class in this 404 OBJECT-ORIENTED SIMULATION
879 citations
TL;DR: In this paper, the authors present a biostatistical introduction of the Time Series, a time series for time series, and a Biostatistic Introduction of time series.
Abstract: (1992). Time Series—A Biostatistical Introduction. Technometrics: Vol. 34, No. 2, pp. 229-230.
551 citations
519 citations
TL;DR: This paper provides a review of coordination mechanisms of supply chain systems in a framework that is based on supply chain decision structure and nature of demand, and highlights the behavioral aspects and information need in the coordination of a supply chain.
463 citations