GLOBAL POWER FUNCTIONS OF GOODNESS OF FIT TESTS

By A. Janssen. 2000

147 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/afe77c57c39d61497c5337301d9a183782140588

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In Statistics and Probability

Citations in the corpus

GOODNESS-OF-FIT TESTS VIA PHI-DIVERGENCES (2006, background): “Asymptotic distribution theory for Sn(s) under the null hypothesis. Limit distribution theory for Sn(2) and Sn(−1) under the null hypothesis follows from the work of Jaeschke (1979) and Eicker (1979); see Shorack and Wellner (1986), chapter 16, pages 597 - 615 for an exposition.”
Tailor-made tests for goodness of fit to semiparametric hypotheses (2006, background): “By Peter J. Bickel,1 Ya’acov Ritov2 and Thomas M. Stoker”
On the exact Berk-Jones statistics and their p-value calculation (2013, unknown): “It has several desirable properties, including consistency, good power for detecting a shift in the median of the distribution (Janssen, 2000) and the availability of simple procedures to compute its p-value.”
ON THE LACK OF POWER OF OMNIBUS SPECIFICATION TESTS (2009, methodology): “Following the fundamental papers by Durbin and Knott (1972), Neuhaus (1976), Milbrodt and Strasser (1990), and Janssen (2000), we advocate in this paper for an “operator approach” as the method of analysis of the ALPF of omnibus tests, extending some of these earlier results to specification tests o”
Testing Conditional Independence via Rosenblatt Transforms (2009, unknown): “This finding appears to be consistent with the point made by Janssen (2000) that omnibus tests have nearly trivial asymptotic power against all the local alternatives, except for those contained in a finite-dimensional space.”
Invariant tests for multivariate normality: a critical review (2002, background): “alternatives coming from a finite-dimensional subspace ( Janssen (2000) ).”