نتایج جستجو برای: general linear lagged regression
تعداد نتایج: 1387247 فیلتر نتایج به سال:
empowering employees in specialized and general qualifications fields is required for urban management organization (tehran municipality). planning and establishment of comprehensive system of electronic learning is considered the main goal of human resource and educational managers. . this study tried to investigate the feasibility and execution of electronic learning courses for in-service st...
BACKGROUND Research has demonstrated a strong link between trauma, posttraumatic stress disorder PTSD and substance use disorders (SUDs) in general and cannabis use disorders in particular. Yet, few studies have examined the impact of cannabis use on treatment outcomes for individuals with co-occurring PTSD and SUDs. METHODS Participants were 136 individuals who received cognitive-behavioral ...
AIMS This study was designed to evaluate the association between urban air pollutants and emergency admissions for cerebrovascular diseases. METHODS AND RESULTS Daily emergency admissions for cerebrovascular diseases (ICD-9-CM, 430-437) to the National Taiwan University Hospital were regressed against daily concentrations of carbon monoxide (CO), nitrogen dioxide (NO(2)), sulphur dioxide (SO(...
This paper argues that VAR models with cointegration and common cycles can be usefully viewed as observable factor models. The factors are linear combinations of lagged levels and lagged differences, and as such, these observable factors have potential for forecasting. We illustrate this forecast potential in both a Monte Carlo and empirical setting, and demonstrate the difficulties in developi...
Although many macroeconomic time series are assumed to follow nonlinear processes, nonlinear models often do not provide better predictions than their linear counterparts. Furthermore, such models easily become very complex and difficult to estimate. The aim of this study is to investigate whether simple nonlinear extensions of autoregressive processes are able to provide more accurate forecast...
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