Results 71 to 80 of about 46,298 (299)
Revstat Statistical Journal, 2018 Several procedures have been proposed for testing goodness-of-fit to the error distribution in nonparametric regression models. The null distribution of the associated test statistics is usually approximated by means of a parametric bootstrap which ...
G.I. Rivas-Martínez +1 more
doaj +1 more source
Generalized spectral tests for the martingale difference hypothesis [PDF]
, 2003 ^aThis article proposes a test for the Martingale Difference Hypothesis (MDH) using dependence measures related to the characteristic function. The MDH typically has been tested using the sample autocorrelations or in the spectral domain using the ...
Velasco Gómez, Carlos +4 more
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Problematic Internet Use in Frontotemporal Dementia: A Case Series
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT The present study investigated problematic internet use (PIU) among 61 patients with frontotemporal dementia (FTD) compared to a cohort of 354 patients with mild cognitive impairment (MCI) and Alzheimer's dementia. PIU was identified in 22.9% of FTD patients compared to only 0.8% of AD patients (p < 0.001). Behaviors included compulsive social
Daniele Urso +9 more
wiley +1 more source
AIP AdvancesThis research delves into the exploration of a statistical testing approach grounded in Laplace transform techniques specifically tailored for the New Better than Used Laplace transform order (NBUL) class of life distributions.
M. E. Bakr +3 more
doaj +1 more source
Classifier-Based Nonparametric Sequential Hypothesis Testing
CoRRWe consider the problem of constructing sequential power-one tests where the null and alternative classes are specified indirectly through historical or offline data. More specifically, given an offline dataset consisting of observations from $L+1$ distributions $\{P_0, P_1, \ldots, P_L\}$, and a new unlabeled data stream $\{X_t: t \geq 1\} \overset{i ...
Chia-Yu Hsu, Shubhanshu Shekhar
openaire +2 more sources
Bandwidth Selection in Nonparametric Kernel Testing [PDF]
We propose a sound approach to bandwidth selection in nonparametric kernel testing. The main idea is to find an Edgeworth expansion of the asymptotic distribution of the test concerned.
Jiti Gao, Irene Gijbels
core
Arthritis Care &Research, EarlyView.Objective To investigate the association between rheumatoid arthritis (RA) and coronary artery calcium (CAC) prevalence, incidence, and progression over four years in adults without prior cardiovascular disease. Methods A case‐cohort study within the Brazilian Longitudinal Study of Adult Health (ELSA‐Brasil) included 585 participants (86 patients with ...
Patrícia Fonseca Estrada +7 more
wiley +1 more source
Forecast Combinations in the Presence of Structural Breaks: Evidence from U.S. Equity Markets
Mathematics, 2018 Realized volatility, building on the theory of a simple continuous time process, has recently received attention as a nonparametric ex-post estimate of the return variation. This paper addresses the problem of parameter instability due to the presence of
Davide De Gaetano
doaj +1 more source
Induced Innovation in U.S. Agriculture: Time-series, Direct Econometric, and Nonparametric Tests [PDF]
The hypothesis of induced innovation is tested for U.S. agriculture using a high-quality state-level panel data set and three disparate testing techniques – time series, direct econometric, and nonparametric.
C. Richard Shumway, Yucan Liu
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Nonparametric Inference on Structural Breaks [PDF]
, 2000 This paper proposes estimators of location and size of structural breaks in a, possibly dynamic, nonparametric regression model. The structural breaks can be located at given periods of time and/or they can be explained by the values taken by some ...
Delgado, Miguel A. +3 more
core +1 more source