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Dive into the research topics where Charles P. Quesenberry is active.

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Featured researches published by Charles P. Quesenberry.


Journal of Quality Technology | 1993

The Effect of Sample Size on Estimated Limits for and X Control Charts

Charles P. Quesenberry

The results of this study indicate that charts with subgroups of size n require about 400/(n-1) samples, and X charts require about 300 values to estimate control limits that perform like known limits. The results also indicate that using estimated con..


Journal of Quality Technology | 1991

SPC Q charts for start-up processes and short or long runs

Charles P. Quesenberry

Classical control charts are designed for processes where data to estimate the process parameters and compute the control limits are available before a production run. For many processes, especially in a job-shop setting, production runs are not necessa..


Journal of Quality Technology | 1995

ON PROPERTIES OF Q CHARTS FOR VARIABLES

Charles P. Quesenberry

The sensitivity of four tests on Shewhart type Q charts and of specially designed EWMA and CUSUM Q charts to detect one-step permanent shifts of either a normal mean or standard deviation has been studied. The usual test that signals for one point beyon..


Journal of Quality Technology | 1995

Geometric Q Charts for High Quality Processes

Charles P. Quesenberry

The geometric distribution based on the inverse binomial method of sampling is used to define Q statistics for the case when the process fallout p is known and when it is not known in advance of sampling. The effectiveness to detect shifts in p of four ..


Journal of Statistical Computation and Simulation | 1977

Power studies of some tests for uniformity

Charles P. Quesenberry; F.L. Miller

Results from a simulation study of the power of eight statistics for testing that a sample is form a uniform distribution on the unit interval are reported. Power is given for each statistic against four classes if alternatives. The statistics studied include the discrete Pearson chi-square with ten and twenty cells, X2 10 and X2 20; Kolmogorov-smirov, D; Cramer-Von Mises, W2; Watson, U2; Anderson-Darling, A; Greenwood. G;and a new statistic called O A modified form of each of these statistic is also studied by first transforming the sample using a transformation given by Durbin. On the basis of the results observed in this study, the Watson U2 statistic is recommended as a general test for uniformity.


Journal of Quality Technology | 1991

SPC Q Charts for a Poisson Parameter Lambda: Short or Long Runs

Charles P. Quesenberry

Approximately normalized control charts, called Q Charts, have been given by the author in other work for charting variables and for a binomial attributes chart. We consider here the corresponding ...


Journal of Quality Technology | 1988

An SPC Approach to Compensating a Tool-Wear Process

Charles P. Quesenberry

A fixed-interval compensator is proposed for a process where tool wear can be modeled over an interval of tool life by a regression model. The compensator consists of a batch mean adjustment plus the estimated wear since the last adjustment. The expecte..


Communications in Statistics-theory and Methods | 1975

Transforming samples from truncation parameter distributions to uniformity

Charles P. Quesenberry

Transformations are given which transform a sample from an arbitrary member of a parametric family with range and density from dependent upon parameters to aset of i.i.d uniform rvs on (0,1). The two-parameter exponential, Pareto and uniform distributions are considered in examples.


Journal of Quality Technology | 1995

On Properties of Binomial Q Charts for Attributes

Charles P. Quesenberry

The sensitivity of four tests on Shewhart Q charts and of specifically designed exponentially weighted moving average (EWMA) and cumulative sum (CUSUM) Q charts to detect one-step permanent shifts of a binomial probability parameter p has been studied. ..


Journal of Quality Technology | 1995

ON PROPERTIES OF POISSON Q CHARTS FOR ATTRIBUTES

Charles P. Quesenberry

The sensitivity of four tests on Shewhart Q charts and of specially designed EWMA and CUSUM Q charts to detect one-step permanent shifts of a Poisson parameter has been studied. The usual test that signals for one point beyond three standard deviations ..

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Chatles Quesenberry

North Carolina State University

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Craig Hales

North Carolina State University

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E. Jacquelin Dietz

North Carolina State University

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