نتایج جستجو برای: smoothing effect

تعداد نتایج: 1660687  

Journal: :archives of clinical infectious diseases 0
hastyar pazhouhi department of epidemiology, hamadan university of medical sciences, hamadan, ir iran manoochehr karami modeling of non-communicable diseases research center and department of biostatistics and epidemiology, school of public health, hamadan, ir iran; modeling of non-communicable diseases research center and department of biostatistics and epidemiology, school of public health, hamadan, ir iran. tel: +98-8138380762 nader esmailnasab department of epidemiology and biostatistics, kurdistan university of medical sciences, kurdistan, ir iran abbas moghimbeigi modeling of non-communicable diseases research center and department of biostatistics and epidemiology, school of public health, hamadan, ir iran mohammad fariadras department of epidemiology, hamadan university of medical sciences, hamadan, ir iran

conclusions addressing and removing explainable patterns of syndromic data on meningitis is necessary to timely and accurately detection of meningitis epidemics. it was concluded that decomposition methods had better performance compared to the model based ones. background meningitis is one of the most disturbing infectious diseases due to mortality, morbidity and its ability to cause epidemic....

2018
Ronnie Pingel

This study considers variance estimation when estimating the asymptotic variance of a propensity score matching estimator for the average treatment effect. We investigate the role of smoothing parameters in a variance estimator based on matching. We also study the properties of estimators using local linear estimation. Simulations demonstrate that large gains can be made in terms of mean square...

Journal: :Journal of Mathematical Analysis and Applications 2014

Maryam Esmaeili Mohammad Ali Saniee Monfared Razieh Ghandali

Simple exponential smoothing (SES) methods are the most commonly used methods in forecasting and time series analysis. However, they are generally insensitive to non-stationary structural events such as level shifts, ramp shifts, and spikes or impulses. Similar to that of outliers in stationary time series, these non-stationary events will lead to increased level of errors in the forecasting pr...

2006
Sheqin Dong Fan Guo Jun Yuan Rensheng Wang Xianlong Hong

In this paper, two smoothing effects are firstly pointed out by analysis and by experiment on Traveling Salesman Problem(TSP) instances. We design a novel algorithm which runs stochastic local search under the SSS framework. The function determining the accepting probability of uphill moves is designed so that the algorithm can take advantage of the local smoothing effect ignored in original SS...

2008
W. Van Hecke A. Leemans S. De Backer P. M. Parizel J. Sijbers

Introduction: Many DTI studies are starting to use voxel based analysis (VBA) to evaluate differences in the diffusion properties between healthy diseased subjects. Despite the intuitively appealing approach of analyzing diffusion measures at each voxel, VBA results should be interpreted cautiously, since they depend on the applied parameter settings. Since, for example, in the VBA literature o...

2015
Ahmad Sadeghi

In this paper, a two-product and two-echelon supply chain is considered in order to quantify the bullwhip effect. Demands of the products are correlated and are represented by a first order vector autoregressive model. Retailer uses “order up to” ordering policy for replenishment of stocks and utilizes exponential smoothing forecast method to predict demand in lead-time period. According to the...

2012
Thorsten Dahmen

Abstract. Computing the optimal pacing strategy for cycling time trials can be formulated as an optimal control problem, where a mechanical model and a physiological endurance model form the dynamical system and time to complete the track is to be minimized. We review approaches that use the 3-parameter critical power model to compute optimal pacing strategies and modify it to become a smooth 6...

2015
Benjamin T. Lewis Matthew R. Bate Daniel J. Price

We have developed a modified form of the equations of smoothed particle magnetohydrodynamics which are stable in the presence of very steep density gradients. Using this formalism, we have performed simulations of the collapse of magnetised molecular cloud cores to form protostars and drive outflows. Our stable formalism allows for smaller sink particles (< 5 AU) than used previously and the in...

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