This paper provides a strict stationarity proof for general nonlinear regression models. In particular, it shows the existence of a strictly stationary solution to first order dynamic nonlinear models when the innovations are only assumed to satisfy a strict stationarity or strong mixing condition. The results of this paper can be applied to show the strict stationarity of threshold unit root m...

this paper investigates the possibility of both linear and nonlinear effects of energy consumption on economic growth in iran, using data for the period of 1959–2007 based on threshold regression. some previous studies support the view that energy consumption may promote economic growth. however, the conclusion drawn from this study suggests that such relationship exists only where there is a l...

regarding the important role of health in economic growth and development, the purpose of the present paper is to investigate the impact of life expectancy, as the most important indicator of health, on economic growth in iran during 1965-2009. the estimated smooth transition regression (str) model supports a nonlinear threshold behavior in the relationship between life expectancy and economic ...

Come with us to read a new book that is coming recently. Yeah, this is a new coming book that many people really want to read will you be one of them? Of course, you should be. It will not make you feel so hard to enjoy your life. Even some people think that reading is a hard to do, you must be sure that you can do it. Hard will be felt when you have no ideas about what kind of book to read. Or...

Sweating threshold temperature and sweating sensitivity responses are measured to evaluate thermoregulatory control. However, analytic approaches vary, and no standardized methodology has been validated. This study validated a simple and standardized method, segmented linear regression (SReg), for determination of sweating threshold temperature and sensitivity. Archived data were extracted for ...

This article presents an approach for modeling hysteresis in piezoelectric materials that leverages recent advancements machine learning, particularly sparse-regression techniques. While sparse regression has previously been used to model various scientific and engineering phenomena, its application nonlinear yet be explored. The study employs the least squares algorithm with a sequential thres...

When patients receive an intervention based on whether they score below or above some threshold value on a continuously measured random variable, the intervention will be randomly assigned for patients close to the threshold. The regression discontinuity design exploits this fact to estimate causal treatment effects. In spite of its recent proliferation in economics, the regression discontinuit...

When patients receive an intervention based on whether they score below or above some threshold value on a continuously measured random variable, the intervention will be randomly assigned for patients close to the threshold. the regression discontinuity design exploits this fact to estimate causal treatment effects. in spite of its recent proliferation in economics, the regression discontinuit...