J
James J. Swain
Researcher at University of Alabama in Huntsville
Publications - 45
Citations - 964
James J. Swain is an academic researcher from University of Alabama in Huntsville. The author has contributed to research in topics: Control variates & Estimator. 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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Least-squares estimation of distribution functions in johnson's translation system
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.
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Finding software metrics threshold values using ROC curves
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.
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Tests for transient means in simulated time series
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.
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Spaced batch means
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.
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A Monte Carlo comparison of capability indices when processes are non-normally distributed
Hsin-Hung Wu,James J. Swain +1 more
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.