نتایج جستجو برای: threshold regression
تعداد نتایج: 433844 فیلتر نتایج به سال:
The purpose of this study was to compare two methods for determination of anaerobic threshold from two different treadmill protocols. Forty-eight Croatian runners of national rank (ten sprinters, fifteen 400-m runners, ten middle distance runners and thirteen long distance runners), mean age 21.7 +/- 5.1 years, participated in the study. They performed two graded maximal exercise tests on a tre...
The other-race effect (ORE) refers to the phenomenon that recognition memory for other-race faces is worse than for ownrace faces. We investigated whether White Germans exhibited an ORE towards Turkish or Arabic faces using a multinomial processing tree model (MPT), the two-high threshold model of recognition memory with three response categories (old, skip, and new). Using an MPT enabled us to...
We consider a high dimensional regression model with a possible change point due to a covariate threshold and develop the lasso estimator of regression coefficients as well as the threshold parameter. Our lasso estimator not only selects covariates but also selects a model between linear and threshold regression models. Under a sparsity assumption, we derive non-asymptotic oracle inequalities f...
Discussion Papers are a series of manuscripts in their draft form. They are not intended for circulation or distribution except as indicated by the author. For that reason Discussion Papers may not be reproduced or distributed without the written consent of the author. Abstract The significant impact of international tourism in stimulating economic growth is especially important from a policy p...
This study evaluates the relationship between inflation and output gap in Saudi Arabia. Specifically, it determines a level of optimal for given changes economic cycle. The novelty this study’s research question is linking with non-oil Arabia by constructing dynamic threshold regression model. estimation carried out using yearly time series from 1981 to 2019. variables used our model ...
In this paper, we propose a semi-parametric approach to estimate threshold models without the reliance of distribution assumption when the threshold variable is endogenous. Early threshold models based on the exogeneity assumption on the threshold variables are widely applied in economics studies. The invalidation of this assumption, however, may bias the estimation and inference. To control fo...
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