摘要:

This paper serves as sequel to the earlier review paper on mixtures [4] by discussing the literature on mixture experiments dating from 1973 to the present. The sections listed consist of techniques for analyzing mixture data, additional design configurations for covering the whole simplex, and designs for exploring restricted regions of the simplex. The material from each of twenty-two papers is given a brief exposure. and suggestions are made of topics for future research.

ISSN:0040-1706    

DOI:10.1080/00401706.1979.10489727

出版商:Taylor & Francis Group    

年代:1979

数据来源: Taylor

摘要:

Exact statistical tolerance limits on the population of sample variances and standard dewtions arising from a normal (μ, σ2) distribution are derived. The use of tolerance limits on the variance or standard deviation is motivated by a number of applied problems which we describe. These tolerance limits are discussed in relation to the usual control chart limits.

ISSN:0040-1706    

DOI:10.1080/00401706.1979.10489728

出版商:Taylor & Francis Group    

年代:1979

数据来源: Taylor

摘要:

Consider a dependent variableylinearly related to one or more independent variables, where several parallel lines must be used to model the relationship due to data points occurring in distinct batches or random observation classes. We suggest an approximate confidence interval for the expected value ofyat a specified point in the space of the independent variables. The approach stems from a distributional approximation and is supported by a limited simulation.

ISSN:0040-1706    

DOI:10.1080/00401706.1979.10489729

出版商:Taylor & Francis Group    

年代:1979

数据来源: Taylor

摘要:

This paper is a continuation of earlier work (Van Ness and Simpson [9]) studying the high dimensionality problem in discriminant analysis. Frequently one has potentially many possible variables (dimensions) to be measured on each object but is limited to a fixed training data size. For particular populations, we give here the change in probability of correct classilication caused by adding dimensions. This gives insight into how many variables one should use for fixed training data sizes, especially when dealing with the populations of these studies. We consider six basic discriminant analysis algorithms. Graphs are provided which compare the relative performance of the algorithms in high dimensions.

ISSN:0040-1706    

DOI:10.1080/00401706.1979.10489730

出版商:Taylor & Francis Group    

年代:1979

数据来源: Taylor

摘要:

Initial misclassification can have serious effects on the error rate of the quadratic discriminant function. The effects are more serious for large initial misclassification rates, and equal misclassification rates in both groups do not alleviate the problem as in the equal covariance case.

ISSN:0040-1706    

DOI:10.1080/00401706.1979.10489731

出版商:Taylor & Francis Group    

年代:1979

数据来源: Taylor

ISSN:0040-1706    

DOI:10.1080/00401706.1979.10489732

出版商:Taylor & Francis Group    

年代:1979

数据来源: Taylor

ISSN:0040-1706    

DOI:10.1080/00401706.1979.10489734

出版商:Taylor & Francis Group    

年代:1979

数据来源: Taylor

ISSN:0040-1706    

DOI:10.1080/00401706.1979.10489736

出版商:Taylor & Francis Group    

年代:1979

数据来源: Taylor

ISSN:0040-1706    

DOI:10.1080/00401706.1979.10489739

出版商:Taylor & Francis Group    

年代:1979

数据来源: Taylor

ISSN:0040-1706    

DOI:10.1080/00401706.1979.10489740

出版商:Taylor & Francis Group    

年代:1979

数据来源: Taylor