ISSN:0040-1706    

DOI:10.1080/00401706.1964.10490160

出版商:Taylor & Francis Group    

年代:1964

数据来源: Taylor

摘要:

No general method has yet been developed for systematically selecting an apprepriate continuous sampling plan of the desired type from among the infinitely many plans of this type possessing the desiredAOQL. A second important problem is that the plan must now be selected without adequate available information regarding the performance of the plan when the process quality deteriorates from an acceptable level to an unacceptable level. This paper attempts to solve both problems at once by proposing new measures o f effectiveness of continuous sampling plans in adjusting to a process that has gone out of control; after the type of continuous sampling plan and theAOQLvalue have been selected, these new measures of effectiveness provide criteria for selecting a specific plan.

ISSN:0040-1706    

DOI:10.1080/00401706.1964.10490161

出版商:Taylor & Francis Group    

年代:1964

数据来源: Taylor

摘要:

This paper considers the question: can the probability of misclassification given by a discriminant function, when used to classify specimens into one of two populations, be predicted accurately from the probabilities given by the variates when used individually? Theoretical consideration of the role of correlations between variates shows that (i) there is no mathematical reason why such predictions should be accurate and (ii) positive correlations (in the sense defined) are generally harmful and negative correlations helpful. Examination of 12 well-known numerical examples from the literature suggests that in practice (i) most correlations are positive (ii) it is usually safe to exclude from a discriminant, before computing it, a group of variates whose individual discriminatory powers are poor, except for any such variate that has negative correlations with most of the good discriminators (iii) the performance of the discriminant function can be predicted satisfactorily from a knowledge of individual powers plus the average correlation coefficient.

ISSN:0040-1706    

DOI:10.1080/00401706.1964.10490162

出版商:Taylor & Francis Group    

年代:1964

数据来源: Taylor

摘要:

In this paper a method is presented for obtaining a set of simultaneous confidence intervals for the probabilities of a multinomial distribution. Large sample size is assumed and a lower bound given for the confidence coefficient. Use of the method to obtain a ranking of the proportions is illustrated. A computational scheme is illustrated by an example.

ISSN:0040-1706    

DOI:10.1080/00401706.1964.10490163

出版商:Taylor & Francis Group    

年代:1964

数据来源: Taylor

摘要:

A modification of the square root method of matrix inversion has been recently advocated. The present paper shows the conditions under which the original method, or the proposed modification, is preferred by comparing the round off error of the two methods when calculations are to be made to a fixed number of decimals with a desk calculator. The paper recommends the discontinuance of the use of incomplete numbers in reporting results where calculations on approximate numbers are made to a fixed decimal position.

ISSN:0040-1706    

DOI:10.1080/00401706.1964.10490164

出版商:Taylor & Francis Group    

年代:1964

数据来源: Taylor

摘要:

In this paper the Rao-Blackwell and Lehmann-Scheff6 theorems are used to derive the minimum variance unbiased estimates of reliability for a number of distributions that have proved useful in life testing. Estimates are also obtained for the case of censored sample in the (one- and two-parameter) exponential case. A result of Pugh comes out as a special case of the gamma and censored one-parameter exponential model and Laurent's result as a special case of the censored twoparameter exponential model.

ISSN:0040-1706    

DOI:10.1080/00401706.1964.10490165

出版商:Taylor & Francis Group    

年代:1964

数据来源: Taylor

ISSN:0040-1706    

DOI:10.1080/00401706.1964.10490166

出版商:Taylor & Francis Group    

年代:1964

数据来源: Taylor

ISSN:0040-1706    

DOI:10.1080/00401706.1964.10490167

出版商:Taylor & Francis Group    

年代:1964

数据来源: Taylor

ISSN:0040-1706    

DOI:10.1080/00401706.1964.10490168

出版商:Taylor & Francis Group    

年代:1964

数据来源: Taylor

ISSN:0040-1706    

DOI:10.1080/00401706.1964.10490169

出版商:Taylor & Francis Group    

年代:1964

数据来源: Taylor