Nonparametric tests for homogeneity of scale against ordered alternatives

1982 ◽  
Vol 34 (2) ◽  
pp. 327-334 ◽  
Author(s):  
K. S. Madhava Rao
Keyword(s):  
Nonparametric Tests ◽  
Ordered Alternatives

scholarly journals Nonparametric tests for ordered alternatives in the bivariate case

1972 ◽  
Vol 2 (2) ◽  
pp. 219-229 ◽  
Author(s):  
Richard A. Johnson ◽  
Kishan G. Mehrotra
Keyword(s):  
Nonparametric Tests ◽  
Bivariate Case ◽  
Ordered Alternatives

scholarly journals npordtests: An R Package of Nonparametric Tests for Equality of Location Against Ordered Alternatives

The R Journal ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 147
Author(s):  
Bulent Altunkaynak ◽  
Hamza Gamgam
Keyword(s):  
R Package ◽  
Nonparametric Tests ◽  
Ordered Alternatives

scholarly journals Nonparametric tests for data in randomised blocks with Ordered alternatives

1999 ◽  
Vol 3 (2) ◽  
pp. 143-153 ◽  
Author(s):  
J. C. W. Rayner ◽  
D. J. Best
Keyword(s):  
Nonparametric Tests ◽  
Block Designs ◽  
Friedman Test ◽  
Linear Effect ◽  
Ordered Alternatives ◽  
Incomplete Designs ◽  
The Mean ◽  
Treatment Comparisons ◽  
Randomized Block Designs

For randomized block designs, nonparametric treatment comparisons are usually made using the Friedman test for complete designs, and the Durbin test for incomplete designs; see, for example, Conover (1998). This permits assessment of only the mean rankings. Such comparisons are here extended to permit assessments of bivariate effects such as the linear by linear effect and the quadratic by linear, or umbrella effect.

A class of nonparametric tests for testing homogeneity of variances against ordered alternatives based on subsample extrema

METRON ◽  
2012 ◽  
Vol 70 (2-3) ◽  
pp. 193-206 ◽  
Author(s):  
Kalpana Kusum Mahajan ◽  
Sangeeta Arora ◽  
Anil Gaur
Keyword(s):  
Nonparametric Tests ◽  
Ordered Alternatives ◽  
Homogeneity Of Variances ◽  
Testing Homogeneity

Analysis of the Bank of Russia information policy

2017 ◽  
pp. 88-110 ◽  
Author(s):  
S. Drobyshevsky ◽  
P. Trunin ◽  
A. Bozhechkova ◽  
E. Gorunov ◽  
D. Petrova
Keyword(s):  
Interest Rate ◽  
Nonparametric Tests ◽  
Information Policy ◽  
Var Models ◽  
New Approach ◽  
Interest Rate Policy ◽  
News Reports ◽  
Internet Users ◽  
Rate Policy ◽  
Exchange Markets

The article investigates the Bank of Russia information policy using a new approach to measuring information effects on Russian data, including the analysis of the tonality of news reports, as well as internet users’ queries on Google. The efficiency of regulator’s information signals is studied using EGARCH-, VAR- models, as well as nonparametric tests. The authors conclude that the regulator communicates effectively in terms of the predictability of interest rate policy, the degree to which information signals affect the money and foreign exchange markets.

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