000			02650nam a2200217 a 4500
999			_c29608 _d29608
020			_a9780128035962
082			_a.
100			_aLemonte, Arthur J. _958928
245	1	0	_aThe gradient test : _banother likelihood-based test _cArthur J. Lemonte
260			_aAmsterdam : _bAcademic Press, _cc2016.
300			_axiv, 141 p. : _bill. ; _c23 cm.
500			_aPreface Chapter 1 The gradient statistic Chapter 2 The local power of the gradient test Chapter 3 The Bartlett-corrected gradient statistic Chapter 4 The gradient statistic under model misspecification Chapter 5 The robust gradient-type bounded-influence test References
520			_aThe 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.
650		7	_aStatistics _92068
650		7	_aMATHEMATICS / Applied _95595
650		7	_aMATHEMATICS / Probability & Statistics / General _95329
856			_uhttps://uowd.box.com/s/qb1me0s3046evk008bsvl8f0v0cngh64 _zLocation Map