In a structural time series regression model, binary variables have been used to quantify qualitative or categorical quantitative events such as politic and economic structural breaks, regions, age groups and etc. The use of the binary dummy variables is not reasonable because the effect of an event decreases (increases) gradually over time not at once. The simple and basic idea in this paper i...

Compensation for respiratory motion has been identified as a crucial factor in achieving high resolution Nuclear Medicine (NM) imaging. Many motion correction approaches have been studied and they are seen to have advantages over simpler approaches such as respiratory gating. However, all motion correction approaches rely on an assumption or estimation of respiratory motion. This paper builds u...

Intelligent Tutoring Systems (ITS) have been proven to be efficient providing student assistance and assessing their performance when they do their homework. Researchers have analyzed how students’ knowledge grows and predict their performance from within intelligent tutoring systems. Most of them focus on using correctness of the previous question or the number of hints and attempts students n...

This paper examines a weighted version of the quantile regression estimator defined by Koenker and Bassett (1978), adjusted to the case of nonlinear longitudinal data. Different weights are used and compared by computer simulation using a four-parameter logistic growth function and error terms following an AR(1) model. It is found that the estimator is performing quite well, especially for the ...

We investigate a tethered (i.e., fixed connectivity) surface model on spherical surfaces with many holes by using the canonical Monte Carlo simulations. Our result in this paper reveals that the model has only a collapsing transition at finite bending rigidity, where no surface fluctuation transition can be seen. The first-order collapsing transition separates the smooth phase from the collapse...

the aim of this study was to determine the optimal cutting cycle in an uneven-aged beech forest in the north of iran. first of all, a logistic growth model was determined for an uneven aged forest. then, the stumpage price was predicted via an autoregressive model. the average stumpage price of beech was derived from actual timber, round wood, fire and pulpwood prices at road side minus the var...

Purpose: This research aims to determine the correlation between financial integration and stability whether increasing leads increased stability. Theoretical framework: The study investigates effect of growing integrity on causal association two variables. Design/methodology/approach: uses an Autoregressive-Distributed Lag (ARDL) regression model with help least squares (OLS) evaluate relation...