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Dive into the research topics where Edward G. Schilling is active.

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Featured researches published by Edward G. Schilling.


Journal of Quality Technology | 1976

The Effect of Non-Normality on the Control Limits of X-Bar Charts

Edward G. Schilling; Peter R. Nelson

The setting of limits on X-bar control charts, as well as other techniques employed in industrial statistics, are based on an assumption of normality justified by the central limit theorem. The theorem essentially states that, under general conditions, ..


Journal of Quality Technology | 1973

A Systematic Approach to the Analysis of Means, Part I. Analysis of Treatment Effects

Edward G. Schilling

The analysis of means is a method for the graphical analysis of the means resulting from a designed experiment. The basic procedure was developed by Dr. E.R. Ott of Rutgers University. This series is an extension of the Ott procedure in that: Part I pro..


Journal of Quality Technology | 1978

A Lot Sensitive Sampling Plan for Compliance Testing and Acceptance Inspection

Edward G. Schilling

An acceptance sampling plan is presented that is applicable in general acceptance sampling and is particularly useful in compliance and safety-related testing. It provides for rejection of the lot if any defective items are found in the sample; a well-d..


Journal of Quality Technology | 1980

Tables for the Construction of Matched Single, Double, and Multiple Sampling Plans with Application to MIL-STD-105D

Edward G. Schilling; Lucille I. Johnson

Tables are presented for the construction and evaluation of matched sets of single, double, and multiple sampling plans. They may be used to derive two-point individual plans to meet specified values of fraction defective and probability of acceptance. ..


Journal of Quality Technology | 1978

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

Edward G. Schilling; J. H. Sheesley

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..


Journal of Quality Technology | 1981

Two-Point Optimal Narrow Limit Plans with Applications to MIL-STD-105D

Edward G. Schilling; Dan J. Sommers

Narrow limit gauging combines the ease of attributes inspection with the power of variables sampling to reduce sample size. Tables of narrow limit plans that have two fixed points on the operating characteristic curve and are optimal in terms of minimum..


Journal of Quality Technology | 1978

GRASP: A General Routine for Attribute Sampling Plan Evaluation

Edward G. Schilling; J. H. Sheesley; Peter R. Nelson

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..


Journal of Quality Technology | 1973

A Systematic Approach to the Analysis of Means: Part II. Analysis of Contrasts

Edward G. Schilling

The analysis of means is a method for the graphical analysis of the means resulting from a designed experiment. The basic procedure was developed by Dr. E.R. Ott of Rutgers University. This series is an extension of the Ott procedure in that: Part I pro..


Journal of Quality Technology | 1980

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

Edward G. Schilling; G. Schlotzer; H.E. Schultz; J. H. Sheesley

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...


Journal of Quality Technology | 1979

A Simplified Graphical Grand Lot Acceptance Sampling Procedure

Edward G. Schilling

Acceptance inspection and compliance testing often require levels of protection for both the consumer and the producer that make for large sample size relative to lot size. A given sample size can, however, be made to apply to several lots jointly if th..

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A. Blanton Godfrey

North Carolina State University

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Joseph M. Cameron

United States Department of Commerce

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