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Feedback Equivalence by Rank Tests

IFAC Proceedings Volumes, 1992
Abstract Let ( A 1 , B 1 ) and ( A 2 , B 2 ) be pairs of matrices in C mxn x C nxm . We will establish a criterion for feedback equivalence of pairs of matrices by rank tests. We will consider a matrix equation related to the feedback equivalence.
M.A. Beitia, J.M. Gracia, I. de Hoyos
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RANK TESTS FOR MULTIVARIATE TREND

Australian Journal of Statistics, 1984
Suppose that bivariate observations \((x_ j,y_ j)\), \(j=1,...,n\), are of the form \[ x_ j=n^{-1/2}a_ 1(j/n)+e'_ j,\quad y_ j=n^{- 1/2}a_ 2(j/n)+e''_ j \] where \(a_ 1\), \(a_ 2\) are unknown drift functions and \((e'_ j,e''_ j)\) are independent pairs of identically continuously distributed bivariate error random variables.
Brown, B. M., Resnick, S. I.
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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 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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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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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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Theory of rank tests

, 1969
J. Hájek, Z. Šidák, P. Sen
semanticscholar   +1 more source

Rank Tests at Jump Events

, 2019
Jia Li   +3 more
semanticscholar   +1 more source

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