摘要:

Raouf and Sathé[1] give a computer program for evaluating whether or not a sequence of observations can be considered random, using the number of runs and the sample median as a reference point. In this paper, the basic runs test is reviewed and then it is shown to be useful in a wide variety of situations. The number of runs can be usedto detect patterns in production,to examine regression models for underfitting or misfitting,to look for serial correlation in time series or trend analysis,to evaluate discriminant analysis functions with qualitative or other non-normal preditor variables, and for many other purposes.

ISSN:0022-4065    

DOI:10.1080/00224065.1977.11980757

出版商:Taylor&Francis    

年代:1977

数据来源: Taylor

摘要:

Statistical tolerance limits are used to obtain bounds from sample data to contain a specified proportion of a population with a high degree of confidence. Under the assumption of a normal distribution with sample mean and standard deviation,x̄andsrespectively, one-sided lower and upper tolerance limits arex̄-ksandx̄+ks, wherekis a tabulated value. Two-sided statistical tolerance limits are of the formx̄±KswhereKis also a tabulated value.Ordered sample values can also be used as statistical tolerance limits. These limits are called distribution-free since they do not require a distributional assumption, such as normality for the measured variable. The one-sided statistical tolerance limit is the mth smallest sample value for a lower limit and themth largest sample value for an upper limit in a sample of sizen. A two-sided statistical tolerance interval is the interval from therth smallest to thesth largest sample values wherem=r+s.A recurring problem is to determine the random sample size to use for obtaining tolerance limits. Tables are provided in this paper for determining the sample sizensuch that the probability isβthatp±dof the population is within the computed statistical tolerance limits. Both the normal distribution and distribution free cases are considered for both one-sided and two-sided tolerance limits.

ISSN:0022-4065    

DOI:10.1080/00224065.1977.11980758

出版商:Taylor&Francis    

年代:1977

数据来源: Taylor

摘要:

This paper discusses basic considerations and practical aspects of designing an experiment. Relatively non-technical essentials, not always covered in standard texts, are emphasized. An introduction to some more technical matters is also provided.

ISSN:0022-4065    

DOI:10.1080/00224065.1977.11980759

出版商:Taylor&Francis    

年代:1977

数据来源: Taylor

摘要:

Recent literature in the areas of reliability and maintainability evaluation and acceptance sampling has suggested the potential of trichotomous classifications of lot quality and reliability/maintenance levels as opposed to the usual dichotomous classification. Bray, Lyon, and Burr [1] have suggested a three-category approach to acceptance sampling. The purpose of this paper is to adapt this three-category procedure to the area of maintainability testing. The chief advantages of using maintainability test plans based on trichotomous classifications are that such plans do not require the assumption that the repair time distribution is log-normal as do the parametric plans described in MIL-STD-471A [2]. Furthermore, they utilize the data more efficiently than the distribution-free procedures given in the same publication.

ISSN:0022-4065    

DOI:10.1080/00224065.1977.11980760

出版商:Taylor&Francis    

年代:1977

数据来源: Taylor

摘要:

The problem of constructing a confidence region, for the expected value of a response vectory0corresponding to a regressor vectorx0, in a multivariate multiple regression model is considered. The prediction region fory0is also presented. The corresponding results for the case of univariate response are reviewed.

ISSN:0022-4065    

DOI:10.1080/00224065.1977.11980761

出版商:Taylor&Francis    

年代:1977

数据来源: Taylor

摘要:

A simple switching diagram is proposed as a visual guide to the use of the rules given in MIL-STD-105D for switching to tightened or reduced inspection.

ISSN:0022-4065    

DOI:10.1080/00224065.1977.11980762

出版商:Taylor&Francis    

年代:1977

数据来源: Taylor

摘要:

A Fortran program is presented which provides several procedures to test for outlying observations in data samples. Certain of the tests presented are for single extreme observations while others may be used to test for multiple outlying observations simultaneously. Along with the program are descriptions for use of each of the tests.

ISSN:0022-4065    

DOI:10.1080/00224065.1977.11980763

出版商:Taylor&Francis    

年代:1977

数据来源: Taylor

ISSN:0022-4065    

DOI:10.1080/00224065.1977.11980764

出版商:Taylor&Francis    

年代:1977

数据来源: Taylor

ISSN:0022-4065    

DOI:10.1080/00224065.1977.11980765

出版商:Taylor&Francis    

年代:1977

数据来源: Taylor

ISSN:0022-4065    

DOI:10.1080/00224065.1977.11980766

出版商:Taylor&Francis    

年代:1977

数据来源: Taylor