摘要:

The basic sciences all require an ability to measure the amounts of substances under study. With new methods of measurement constantly being proposed there is a need for techniques for comparing these methods in terms of their precision and accuracy. Of particular interest is the case in which none of the individual methods are known to measure “truth”. A multiple methods comparison technique for this case is proposed in this paper, and is illustrated by an example from the field of clinical chemistry. Estimates of the components of variance for each method are developed, and some of their properties explored.

ISSN:0040-1706    

DOI:10.1080/00401706.1979.10489809

出版商:Taylor & Francis Group    

年代:1979

数据来源: Taylor

ISSN:0040-1706    

DOI:10.1080/00401706.1979.10489810

出版商:Taylor & Francis Group    

年代:1979

数据来源: Taylor

摘要:

Problems requiring regression analysis of censored data arise frequently in practice. For example, in accelerated testing one wishes to relate stress and average time to failure from data including unfailed units, i.e., censored observations.

ISSN:0040-1706    

DOI:10.1080/00401706.1979.10489811

出版商:Taylor & Francis Group    

年代:1979

数据来源: Taylor

摘要:

This is a discussion about a very well-written paper by Schmee and Hahn which addresses the problem of analyzing censored data. The paper proposes a method called iterated least squares (ILS) and compares ILS to existing methods that are somewhat more cumbersome to carry out. This discussion emphasizes possible use of the paper as a model for such articles, and cites some examples to support the authors' statement that problems involving censored data occur often in practice.

ISSN:0040-1706    

DOI:10.1080/00401706.1979.10489812

出版商:Taylor & Francis Group    

年代:1979

数据来源: Taylor

摘要:

A new approach is proposed for testing goodness of fit for censored samples. A transformation is applied so that the transformed censored sample behaves under the null hypothesis like a complete sample from the uniform (0,1) distribution. Any standard goodness-of-fit test can then be applied using existing tables. Empirical comparisons indicate that the proposed technique provides better overall power than other existing methods.

ISSN:0040-1706    

DOI:10.1080/00401706.1979.10489813

出版商:Taylor & Francis Group    

年代:1979

数据来源: Taylor

摘要:

The jackknife method is applied to the problem of confidence interval estimation of the long run availability of an individual component or system, and of redundant systems of several components. The method is also applied to some actual data concerning nuclear plants. It is further validated by simulation for selected examples.

ISSN:0040-1706    

DOI:10.1080/00401706.1979.10489814

出版商:Taylor & Francis Group    

年代:1979

数据来源: Taylor

摘要:

The literature of ridge regression and James-Stein estimation is broadly reviewed, and critical comments are interpolated on a number of papers. The authors also express their viewpoints on ridge regression and their antipathy to its mechanical use.

ISSN:0040-1706    

DOI:10.1080/00401706.1979.10489815

出版商:Taylor & Francis Group    

年代:1979

数据来源: Taylor

摘要:

The purpose of this paper is to introduce a certain modification to the technique of ridge analysis. The standard ridge analysis is employed in order to find conditions on a set of design variables that maximize (or minimize) an estimated second order response function on spheres of varying radii. See for example [3], [4], and [6].

ISSN:0040-1706    

DOI:10.1080/00401706.1979.10489816

出版商:Taylor & Francis Group    

年代:1979

数据来源: Taylor

摘要:

The problem of variable selection in multivariate regression is considered. Procedures for isolating subsets of the independent variables which adequately describe the regression relationship between the set of dependent variables and the set of all independent variables are discussed. Each procedure leads to a set of subsets of variables which contains all adequate subsets with probability not less than a specified lower bound. A graphical aid to the assessment of the relative importance of subsets of independent variables is noted.

ISSN:0040-1706    

DOI:10.1080/00401706.1979.10489817

出版商:Taylor & Francis Group    

年代:1979

数据来源: Taylor

摘要:

Large sample properties of statistics used in latent root regression analysis are investigated by examining the matrix of correlations among the predictor and response variables as the sample size becomes infinite. The latent roots and latent vectors of the asymptotic correlation matrix are derived for specific model configurations of interest. From the study of the asymptotic latent roots and latent vectors, a new statistic is proposed for use in detecting nonpredictive multicollinearities.

ISSN:0040-1706    

DOI:10.1080/00401706.1979.10489818

出版商:Taylor & Francis Group    

年代:1979

数据来源: Taylor