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
core
The Size and Power of Bootstrap Tests [PDF]
Bootstrap tests are tests for which the significance level is calculated by some sort of bootstrap procedure, which may be parametric or nonparametric. We show that, in many circumstances, the size distortion of a bootstrap P value for a test will be one
James G. MacKinnon, Russell Davidson
core
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
core
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
core
Analysis of Bond Strength of Bioceramic Sealer Following Irrigation with Chlorhexidine. [PDF]
Iran Endod JCosta LG +5 more
europepmc +1 more source
Sample size estimation for local hypothesis testing of functional data in medical studies: method comparison, recommendations, and a web application. [PDF]
BMC Med Res MethodolSeydi MR +3 more
europepmc +1 more source
Hypothesis test of specific parametric structure in a generalized additive model
Before applying flexible nonparametric models such as a generalized additive model (GAM), it is natural to ask whether a simpler parametric form suffices. To address this question, we develop TAPS (Test for Arbitrary Parametric Structure), a framework that integrates estimation and hypothesis testing to evaluate whether a prespecified parametric form ...
Yihe Yang, Xiaofeng Zhu
openaire +2 more sources
Graph Based, Adaptive, Multiarm, Multiple Endpoint, Two-Stage Designs. [PDF]
Stat MedMehta C, Mukhopadhyay A, Posch M.
europepmc +1 more source
Inference on function-valued parameters using a restricted score test. [PDF]
J R Stat Soc Series B Stat MethodolHudson A, Carone M, Shojaie A.
europepmc +1 more source
CBMR: Coordinate-based meta-regression for group and covariate inference. [PDF]
Imaging Neurosci (Camb)Yu Y +5 more
europepmc +1 more source