J. H. Sheesley

The Performance of MIL-STD-105D Under the Switching Rules: Part 1: Evaluation

MIL-STD-105D is a sampling scheme. As such, switching from normal to tightened or reduced plans must be utilized to effect optimum protection. Unfortunately, the standard itself presents tables of operating characteristics and other measures for individ..

GRASP: A General Routine for Attribute Sampling Plan Evaluation

A FORTRAN computer program is presented that will evaluate an arbitrary single, double, or multiple sampling plan using hypergeometric, binomial, Poisson, or normal probabilities. An option is also included that will permit the calculation of the fracti..

Comparison of K Samples Involving Variables or Attribute Data Using the Analysis of Means

A computer program is presented which will perform a one-way analysis of means and provide plots of the resulting analysis for variables, fraction defective, or defects data. As a check on homogeneity of variance a standard deviation control chart is pr..

A FORTRAN Computer Program for Analysis of Variance and Analysis of Means

A FORTRAN computer program is presented which provides the analysis of variance table complete with expected mean squares and an analysis of means plot for the treatment effects for any balanced experiment design of up to seven factors...

The Performance of ANSI/ASQC Z1.9–1980 under the Switching Rules

ANSI/ASQC Z1.9-1980, the civilian version of MIL-STD-414, is intended to be used with switching rules in moving among tightened, normal, and reduced inspection to achieve overall scheme performance superior to any of the constituent plans. This study ev..

Simplified Factors for Analysis of Means When the Standard Deviation is Estimated from the Range

In many instances one-way analysis of means is performed using the range of the treatment subgroups to estimate the error standard deviation. When the subgroup sizes are equal, calculation of the decision limits can be simplified to multiplication of th..

The Operating Characteristic Curve Manual: lnfinite Lot Size Single Sampling Plans

The last 10 years have seen the birth and rapid growth of the theory of central limit theorems (CLTs) for independent Banach space valued random variables. (Here, CLT includes convergence to general infinitely divisible laws, and not just to the Normal distribution.) This book succeeds admirably in presenting a coherent, up-to-date account of this theory. As for the more ordinary real-valued CLTs, if you cannot find the result you need in Fellers classic An Introduction to Probability Theory and its Applications, then the concise account in this book is a good second place to look. To fit in so much material, the authors adopt a rather terse style (e.g., many results are developed as exercises), so reading this book is a demanding, though rewarding, experience.