Results 271 to 280 of about 14,760,741 (339)
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Testing Homogeneity among Judges of Diving
Research Quarterly. American Alliance for Health, Physical Education, Recreation and Dance, 1979(1979). Testing Homogeneity among Judges of Diving. Research Quarterly. American Alliance for Health, Physical Education, Recreation and Dance: Vol. 50, No. 2, pp. 278-281.
J H, McCormick, P, Subbaiah
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Testing Homogeneity of Variance
SSRN Electronic Journal, 2009This paper compares empirical type I error and power of different tests that have been proposed to assess the homogeneity of within-group variances. The main questions answered in the paper are: (1) Which tests are most effective (powerful and robust) when testing the homogeneity of variances in various conditions of heterogeneity, and (2) When ...
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ON LEVENE'S TESTS OF VARIANCE HOMOGENEITY
Australian Journal of Statistics, 1986SummaryLevene's tests of homogeneity of treatment variances in completely randomised and randomised complete block experiments are examined. These tests are essentially standard analysis of variance F‐tests performed on functions of the absolute values of residuals.
Yitnosumarto, S., O'Neill, M. E.
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2000
In this chapter, various tests for homogeneity will be discussed. In section 5.1, an exact test for the case of normal, homoskedastic errors which are independent in time is derived. This test corresponds to Anderson’s U test (see Anderson 1984, 298ff).
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In this chapter, various tests for homogeneity will be discussed. In section 5.1, an exact test for the case of normal, homoskedastic errors which are independent in time is derived. This test corresponds to Anderson’s U test (see Anderson 1984, 298ff).
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Tests for Homogeneity of Variance
2011Radi se o enciklopedijskoj natuknici sa 5 referenci. Natuknica je prikazana na str. 1595-1596 u 20. dijelu "International Encyclopedia of Statistical Science" (Springer, 2011)
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Microelectronics Reliability, 1987
Abstract This paper presents a test of homogeneity of the continual random variables x and y . This test is based on the confidence limits for the distribution function, which are evaluated by using the quantiles of the beta distribution. Because of this relation to the beta distribution, this test is denoted as the B-test of homogeneity. Many of
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Abstract This paper presents a test of homogeneity of the continual random variables x and y . This test is based on the confidence limits for the distribution function, which are evaluated by using the quantiles of the beta distribution. Because of this relation to the beta distribution, this test is denoted as the B-test of homogeneity. Many of
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A new test for ‘sufficient homogeneity’
The Analyst, 2001Certified reference materials and materials distributed in proficiency testing need to be 'sufficiently homogeneous', that is, the variance in the mean composition of the distributed portions of the material must be negligibly small in relation to the variance of the analytical result produced when the material is in normal use.
T, Fearn, M, Thompson
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Testing Homogeneity in Gamma Mixture Models
Scandinavian Journal of Statistics, 2003This paper characterizes the asymptotic behaviour of the likelihood ratio test statistic (LRTS) for testing homogeneity (i.e. no mixture) against gamma mixture alternatives. Under the null hypothesis, the LRTS is shown to be asymptotically equivalent to the square of Davies's Gaussian process test statistic and diverges at a log n rate to infinity in ...
Liu, Xin +2 more
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Homogeneity Tests against Central-Mixture Alternatives
Journal of the American Statistical Association, 1988Abstract A test of homogeneity is derived for a general sampling model. The alternative hypothesis is a mixture over a parameter of the sampling model, centered at the null hypothesis. The test statistic is derived through a score test. Its functional form is independent of the particular mixing distribution.
Daniel Zelterman, Chan-Fu Chen
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Test homogeneity of order-restricted means
Acta Mathematica Sinica, English Series, 2010zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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