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Applying Wald's Variance Component Test
In this note a generalization of a variance component test that was first suggested by Wald is examined. Necessary and sufficient conditions are given for the test to be applicable in a mixed linear model. A uniqueness property of the test in terms of degrees of freedom is also obtained.
Seely, Justus F., El-Bassiouni, Yahia
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Testing for zero-modification in count regression models [PDF]
Count data often exhibit overdispersion and/or require an adjustment for zero outcomes with respect to a Poisson model. Zero-modified Poisson (ZMP) and zero-modified generalized Poisson (ZMGP) regression models are useful classes of models for such ...
Czado, Claudia, Min, Aleksey
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A Tutorial on Testing the Equality of Standardized Regression Coefficients in Structural Equation Models using Wald Tests with lavaan [PDF]
Comparing the effects of two or more explanatory variables on a dependent variable in structural equation models, with either manifest or latent variables, may be hampered by the arbitrary metrics which are common in social sciences and psychology.
Klopp, Eric
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Formulating Wald Tests of Nonlinear Restrictions
On montre a partir de l'evidence de Monte Carlo que les differences dans la forme fonctionnelle des restrictions non lineaires sont importantes dans les petites tailles d ...
Gregory, Allan W, Veall, Michael R
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Power comparison among tests for fractional unit roots [PDF]
This article compares the asymptotic power properties of the Wald, the Lagrange Multiplier and the Likelihood Ratio test for fractional unit roots. The paper shows that there is an asymptotic inequality between the three tests that holds under fixed ...
Lobato, Ignacio N., Velasco, Carlos
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Fixed-b Inference for Testing Structural Change in a Time Series Regression
This paper addresses tests for structural change in a weakly dependent time series regression. The cases of full structural change and partial structural change are considered.
Cheol-Keun Cho, Timothy J. Vogelsang
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Rao and Wald Tests in Nonzero-Mean Non–Gaussian Sea Clutter
The non-Gaussian nature of radar-observed clutter echoes induces performance degradation in the context of remote sensing target detection when using conventional Gaussian detectors. To enhance target detection performance, this study addresses the issue
Haoqi Wu +3 more
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Un approccio robusto alla verifica d'ipotesi basato sulla funzione di verosomiglianza pesata
Weighted version of the Likelihood Ratio, Wald and score tests are proposed for parametric inference. If the parametric model is correct, the Weighted Likelihood tests are asymptotically equivalent to the corresponding Likelihood tests.
Claudio Agostinelli
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Wald tests of singular hypotheses
Motivated by the problem of testing tetrad constraints in factor analysis, we study the large-sample distribution of Wald statistics at parameter points at which the gradient of the tested constraint vanishes. When based on an asymptotically normal estimator, the Wald statistic converges to a rational function of a normal random vector.
Drton, Mathias, Xiao, Han
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Validating attribute hierarchies in cognitive diagnosis models
Cognitive diagnosis models (CDMs) are restricted latent class models that are widely used in educational and psychological fields. Attribute hierarchy, as an important structural feature of the CDM, can provide critical information for inferring ...
Xueqin Zhang +3 more
doaj +1 more source

