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The gradient test : = another likeli...
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Lemonte, Artur J.,
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The gradient test : = another likelihood-based test /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
The gradient test :/ Artur J. Lemonte
其他題名:
another likelihood-based test /
作者:
Lemonte, Artur J.,
面頁冊數:
1 online resource
標題:
Statistical hypothesis testing. -
電子資源:
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:
560235
Statistical hypothesis testing.
Index Terms--Genre/Form:
542853
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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Statistical hypothesis testing.
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https://www.sciencedirect.com/science/book/9780128035962
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