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Ranking In Analysis of Covariance Tests

Communications in Statistics - Simulation and Computation, 1975
A rank method of testing whether k(≥ 2) parallel regression lines are coincident, is presented in this paper. The procedure which is based on the simultaneous ranking of all the observations, is proved to have asymptotically optical properties.
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Intraclass Rank Tests for Independence

Biometrika, 1981
SUMMARY An intraclass rank test of Spearman type is proposed to test for independence in a bivariate population. The test is useful when there is prior information that the population has the same marginal distributions. It is shown that the proposed test is asymptotically equivalent to Spearman's test under the null hypothesis of independence and its ...
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On a condition for the log-rank test to be a locally optimal rank test

Journal of Statistical Planning and Inference, 1986
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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RANK TESTS OF PARTIAL CORRELATION

Bulletin of Mathematical Statistics, 1981
Rank statistics to test the null hypothesis that X and Y are conditionally, given Z, independent are given and their asymptotic properties are investigated under the model (X, Y, Z) = (U+ anW, V-FbnW,W) where (U, V) and W are independent. It is shown that linear rank tests given by (X, Y) based on the random sample of size n are asymptotically ...
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Rank Tests for “Lehmann's Alternative”

Journal of the American Statistical Association, 1971
Abstract Large and small sample properties of tests introduced by Lehmann and Savage for the two-sample problem are examined under Lehmann's alternative.
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RANK TESTS FOR SERIAL DEPENDENCE

Journal of Time Series Analysis, 1981
Abstract.A family of linear rank statistics is proposed in order to test the independence of a time series, under the assumption that the random variables involved have symmetric distributions with zero medians, without the standard assumptions of normality or identical distributions. The family considered includes analogues of the sign.
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Ranking and situational judgement test

The Clinical Teacher, 2015
Nithish, Jayakumar   +2 more
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A Riemannian rank-adaptive method for low-rank matrix completion

Computational Optimization and Applications, 2021
Bin Gao, P -A Absil
exaly  

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