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The gradient test : = another likeli...
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Lemonte, Artur J.,
The gradient test : = another likelihood-based test /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
The gradient test :/ Artur J. Lemonte
Reminder of title:
another likelihood-based test /
Author:
Lemonte, Artur J.,
Description:
1 online resource
Subject:
Statistical hypothesis testing. -
Online resource:
https://www.sciencedirect.com/science/book/9780128035962
ISBN:
9780128036136
The gradient test : = another likelihood-based test /
Lemonte, Artur J.,
The gradient test :
another likelihood-based test /Artur J. Lemonte - 1 online resource
The Gradient Test: Another Likelihood-Based Test presents the latest on the gradient test, a large-sample test that was introduced in statistics literature by George R. Terrell in 2002. The test has been studied by several authors, is simply computed, and can be an interesting alternative to the classical large-sample tests, namely, the likelihood ratio (LR), Wald (W), and Rao score (S) tests. Due to the large literature about the LR, W and S tests, the gradient test is not frequently used to test hypothesis. The book covers topics on the local power of the gradient test, the Bartlett-corrected gradient statistic, the gradient statistic under model misspecification, and the robust gradient-type bounded-influence test.
ISBN: 9780128036136Subjects--Topical Terms:
527723
Statistical hypothesis testing.
Index Terms--Genre/Form:
554714
Electronic books.
LC Class. No.: QA277 / .L43 2016
Dewey Class. No.: 519.5
The gradient test : = another likelihood-based test /
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The Gradient Test: Another Likelihood-Based Test presents the latest on the gradient test, a large-sample test that was introduced in statistics literature by George R. Terrell in 2002. The test has been studied by several authors, is simply computed, and can be an interesting alternative to the classical large-sample tests, namely, the likelihood ratio (LR), Wald (W), and Rao score (S) tests. Due to the large literature about the LR, W and S tests, the gradient test is not frequently used to test hypothesis. The book covers topics on the local power of the gradient test, the Bartlett-corrected gradient statistic, the gradient statistic under model misspecification, and the robust gradient-type bounded-influence test.
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https://www.sciencedirect.com/science/book/9780128035962
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