Convergence of Probability Measures. By P. Billingsley. Chichester, Sussex, Wiley, 1968. xii, 253 p. 9 1/4“. 117s.

Convergence of Probability Measures

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

Handbook of Simulation

(1992). Time Series—A Biostatistical Introduction. Technometrics: Vol. 34, No. 2, pp. 229-230.

Time Series—A Biostatistical Introduction

Methods of Feasible Directions. By G. Zoutendijk. Pp. 126. 30s. 1960. (D. van Nostrand Co. London)

Coordination mechanisms of supply chain systems

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.

Least-squares estimation of distribution functions in johnson's translation system

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.

Finding software metrics threshold values using ROC curves

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.

Tests for transient means in simulated time series

Spaced batch means

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.

James J. Swain

Papers

Least-squares estimation of distribution functions in johnson's translation system

Finding software metrics threshold values using ROC curves

Tests for transient means in simulated time series

Spaced batch means

A Monte Carlo comparison of capability indices when processes are non-normally distributed