Results 111 to 120 of about 1,113,356 (231)
Conditional Independence Restrictions: Testing and Estimation [PDF]
We propose a nonparametric empirical distribution function based test of an hypothesis of conditional independence between variables of interest. This hypothesis is of interest both for model specification purposes, parametric and semiparametric, and for
Oliver Linton, Pedro Gozalo
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Supplement 1. Matlab code for testing the hypothesis of time homogeneity by parametric bootstrap.
, 2016 Matthew Spencer, Edward Susko
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Inference about Clustering and Parametric Assumptions in Covariance Matrix Estimation [PDF]
Selecting an estimator for the variance covariance matrix is an important step in hypothesis testing. From less robust to more robust, the available choices include: Eicker/White heteroskedasticity-robust standard errors, Newey and West ...
Mikko Packalen, Tony Wirjanto
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Properties of fractional generalized entropy in ordered variables and symmetry testing
AIMS MathematicsUncertainty measures are widely used in various statistical applications, including hypothesis testing and characterizations. Numerous generalizations of information measures with different extensions have been developed.
Mohamed Said Mohamed, Muqrin A. Almuqrin
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Bootstrap tests for the error distribution in linear and nonparametric regression models [PDF]
In this paper we investigate several tests for the hypothesis of a parametric form of the error distribution in the common linear and nonparametric regression model, which are based on empirical processes of residuals. It is well known that tests in this
Dette, Holger +2 more
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A Trinomial Test for Paired Data When There are Many Ties [PDF]
This paper develops a new test, the trinomial test, for pairwise ordinal data samples to improve the power of the sign test by modifying its treatment of zero differences between observations, thereby increasing the use of sample information. Simulations
Guorui Bian +2 more
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Article 6. An introduction to hypothesis testing. Parametric comparison of two groups--1 [PDF]
, 2001 P Driscoll
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DATA-DRIVEN RATE-OPTIMAL SPECIFICATION TESTING IN REGRESSION MODELS [PDF]
We propose new data-driven smooth tests for a parametric regression function. The smoothing parameter is selected through a new criterion that favors a large smoothing parameter under the null hypothesis.
Emmanuel Guerre, Pascal Lavergne
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