摘要:

A search of the literature to determine the status of statistical quality control chart techniques for the years 1970–1980 was conducted. The relevant articles have been classified by type of control chart technique.

ISSN:0022-4065    

DOI:10.1080/00224065.1983.11978845

出版商:Taylor&Francis    

年代:1983

数据来源: Taylor

摘要:

Tables for variables acceptance sampling plans for use with small lots are presented. The sampling plans are derived using a decision theoretic approach for which the theory has been previously presented by the authors. Using this approach, which takes into account the lot size, the sample sizes necessary can be substantially smaller than those for more traditional variables sampling plans. The tables pertain to lots from a manufacturing process having a normal distribution and with lot sizes ranging from 10 to 100. Both the case of known process variance and the case of unknown process variance are covered.

ISSN:0022-4065    

DOI:10.1080/00224065.1983.11978846

出版商:Taylor&Francis    

年代:1983

数据来源: Taylor

摘要:

A supplementary test for apcontrol chart consisting of counting the numberSof successive occurrences of nonconforming items in a subgroup is given with a table of the probabilities of getting at leastSforsubgroup sizesn= 15(5)30, 40, 60, 100andbinomialp= 0.005, 0.01(0.01)0.06(0.02)0.20, 0.25, 0.30, 0.40, 0.50.

ISSN:0022-4065    

DOI:10.1080/00224065.1983.11978847

出版商:Taylor&Francis    

年代:1983

数据来源: Taylor

摘要:

The bivariate normal distribution function may be expressed as the product of a marginal normal distribution times a conditional distribution. By approximating this conditional distribution, we obtain a simple method for approximating bivariate normal probabilities. When the correlation falls in the interval [–0.5, 0.5], the maximum absolute error in our approximation is always less than 0.0008. The conditional distribution that we approximate is referred to as a‘normal conditioned on a truncated normal’distribution and is related to screening problems.

ISSN:0022-4065    

DOI:10.1080/00224065.1983.11978848

出版商:Taylor&Francis    

年代:1983

数据来源: Taylor

摘要:

Graphical procedures for analyzing the results of nested sampling studies are presented and illustrated with examples. It is shown that a standard deviation control chart analysis will detect atypical results and nonhomogeneous variances that can greatly distort the estimated process variance components. The procedure enables the quality engineer to see the sources and magnitude of the variation in the process and to identify any unusual characteristics of the data. This information can provide a basis for improving product quality.

ISSN:0022-4065    

DOI:10.1080/00224065.1983.11978849

出版商:Taylor&Francis    

年代:1983

数据来源: Taylor

摘要:

The robustness to a single outlier of four methods for estimating the mean is investigated. The methods appear in such officially published and widely used standards as those of the International Organization for Standardization and Japanese Industrial Standards. Using a computer simulation, we compare the bias (the expected difference between the estimate produced and the true value), the variance of the estimates, and the average sample number required, for each of the four methods.

ISSN:0022-4065    

DOI:10.1080/00224065.1983.11978850

出版商:Taylor&Francis    

年代:1983

数据来源: Taylor

摘要:

A computer-based algorithm for Fisher's component randomization test is developed for paired comparisons. The program operation is described and an example presented along with the program listing. The program provides a graphical comparison of the randomization distribution to the corresponding Student's t distribution.

ISSN:0022-4065    

DOI:10.1080/00224065.1983.11978851

出版商:Taylor&Francis    

年代:1983

数据来源: Taylor

ISSN:0022-4065    

DOI:10.1080/00224065.1983.11978852

出版商:Taylor&Francis    

年代:1983

数据来源: Taylor

ISSN:0022-4065    

DOI:10.1080/00224065.1983.11978854

出版商:Taylor&Francis    

年代:1983

数据来源: Taylor

ISSN:0022-4065    

DOI:10.1080/00224065.1983.11978844

出版商:Taylor&Francis    

年代:1983

数据来源: Taylor