scholarly journals Tests of Linear Hypotheses in the ANOVA under Heteroscedasticity

2013 ◽  
Vol 1 (2) ◽  
Author(s):  
Jin-Ting Zhang
Keyword(s):  
Tests Of Linear Hypotheses

The positive-part Stein-rule estimator and tests of linear hypotheses

1988 ◽  
Vol 26 (1) ◽  
pp. 49-51 ◽  
Author(s):  
Aman Ullah ◽  
David E.A. Giles
Keyword(s):  
Positive Part ◽  
Tests Of Linear Hypotheses

scholarly journals Tests of linear hypotheses based on regression rank scores

1993 ◽  
Vol 2 (4) ◽  
pp. 307-331 ◽  
Author(s):  
C. Gutenbrunner ◽  
J. Jurečková ◽  
R. Koenker ◽  
S. Portnoy
Keyword(s):  
Regression Rank Scores ◽  
Tests Of Linear Hypotheses

scholarly journals Adaptive tests of linear hypotheses by model selection

2003 ◽  
Vol 31 (1) ◽  
pp. 225-251 ◽  
Author(s):  
B. Laurent ◽  
S. Huet ◽  
Y. Baraud
Keyword(s):  
Model Selection ◽  
Adaptive Tests ◽  
Tests Of Linear Hypotheses

SIMULTANEOUS TESTS OF LINEAR HYPOTHESES

Biometrika ◽  
1955 ◽  
Vol 42 (3-4) ◽  
pp. 441-449 ◽  
Author(s):  
M. N. GHOSH
Keyword(s):  
Tests Of Linear Hypotheses

scholarly journals On combining estimates of relative potency in bioassay

1962 ◽  
Vol 60 (3) ◽  
pp. 379-385 ◽  
Author(s):  
B. M. Bennett
Keyword(s):  
Relative Potency ◽  
Confidence Limits ◽  
Biological Assays ◽  
Standard Preparation ◽  
Combining Estimates ◽  
Quantitative Response ◽  
Bio Assay ◽  
Tests Of Linear Hypotheses

Biological assays based on a quantitative response in particular (e.g. hormone assays) typically involve the estimation of (log) relative potency (= M) with respect to some standard preparation on the basis of one or more symmetrical determinations usually at equally spaced (log) dose intervals. It is the purpose of this paper to consider further statistical aspects of estimates of M, and especially confidence limits for M based on a combination of separate assays. These are given as examples of tests of linear hypotheses. Two applications are given on the combining of quantitative bio-assay data.

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