ISSN:0040-1706    

DOI:10.1080/00401706.1973.10489005

出版商:Taylor & Francis Group    

年代:1973

数据来源: Taylor

ISSN:0040-1706    

DOI:10.1080/00401706.1973.10489006

出版商:Taylor & Francis Group    

年代:1973

数据来源: Taylor

摘要:

The problem of selecting a model from two models with unknown location and scale parameters is considered. It is noted that the distribution of the ratio of maximum likelihoods does not depend upon the values of the nuisance location and scale parameters. Consequently, this ratio provides a convenient (and hopefully powerful) test for discriminating between two location and scale parameter models when the parameters are unknown.

ISSN:0040-1706    

DOI:10.1080/00401706.1973.10489007

出版商:Taylor & Francis Group    

年代:1973

数据来源: Taylor

ISSN:0040-1706    

DOI:10.1080/00401706.1973.10489008

出版商:Taylor & Francis Group    

年代:1973

数据来源: Taylor

摘要:

Experience has shown that unless special care is exercised in analyzing multiresponse data serious mistakes can be made. In this paper some problems associated with fitting multiresponse models are identified and discussed. In particular, three kinds of dependencies are considered: dependence among the errors, linear dependencies among the expected values of the responses, and linear dependencies in the data. Since ignoring such dependencies can lead to difficulties, a method is described for detecting and handling them. The concepts involved are illustrated with a chemical example.

ISSN:0040-1706    

DOI:10.1080/00401706.1973.10489009

出版商:Taylor & Francis Group    

年代:1973

数据来源: Taylor

摘要:

A very important and yet widely misunderstood concept or problem in science and technology is that of precision and accuracy of measurement. It is therefore necessary to define the terms precision and accuracy (or imprecision and inaccuracy) clearly and analytically if possible. Also, we need to establish and develop appropriate statistical tests of significance for these measures, since generally a relatively small number of measurements will be made or taken in most investigations.

ISSN:0040-1706    

DOI:10.1080/00401706.1973.10489010

出版商:Taylor & Francis Group    

年代:1973

数据来源: Taylor

摘要:

In a previous paper by the author (1971) several models were presented in the context of a problem that often arises in visual scanning experiments in particle physics, viz. that of estimating the number of undetected particles from the scanning record. A comparison of these models is given here, with respect to their adequacy in specific situations.

ISSN:0040-1706    

DOI:10.1080/00401706.1973.10489011

出版商:Taylor & Francis Group    

年代:1973

数据来源: Taylor

摘要:

This paper extends the truncated sequentialt-test presented by Suich and Iglewicz (1970) for α = β to the more general (α ≠ β This test is then compared with Barnard's non-truncated sequentialt-test and with the fixed sample-size procedure. This comparison includes OC and ASN curves and the standard deviation ofn. The test is then extended to a two-sided procedure and compared with the truncated sequentialt-test of Schneiderman and Armitage (1962).

ISSN:0040-1706    

DOI:10.1080/00401706.1973.10489012

出版商:Taylor & Francis Group    

年代:1973

数据来源: Taylor

摘要:

Tables are given for obtaining confidence bounds for the two parameters and the 90th, 95th, and 99th percentiles of the two-parameter Weibull or extreme-value distribut.ions. The tables are based on best linear invariant estimlators of extreme-value location and scale parameters and apply to samples of sizen,n= 3(1)16, which may be censored at themth smallest sample observation,m= 3(1)%. More extensive tables for samples of sizen,n= 3(1)25, with censoring fromm= 3(1)n, may be found in [12]. Discussion is given concerning other methods of obtaining confidence and tolerance bounds for these distributions, properties of the estimators on which the bounds are based and computational procedures used.

ISSN:0040-1706    

DOI:10.1080/00401706.1973.10489013

出版商:Taylor & Francis Group    

年代:1973

数据来源: Taylor

摘要:

This paper deals with methods of quality control when observation-vectors are coming from a multivariate binomial or multivariate Poisson population. The case when successive observations are time-dependent has been studied under certain assumptions. Further when a sample covariance matrix is singular or near singular, a method has been proposed for translating it into a non-singular estimate under the assumption of conditional independence. Assuming approximate normality ax2-chart has been proposed. At the end a numerical example is given to illustrate the procedure in this paper.

ISSN:0040-1706    

DOI:10.1080/00401706.1973.10489014

出版商:Taylor & Francis Group    

年代:1973

数据来源: Taylor