نتایج جستجو برای: multiple regression models
تعداد نتایج: 1791298 فیلتر نتایج به سال:
background and aims: diabetes type ii (non-insulin dependent) which is one of the most prevalent diabetes types in the world emerges in people with the age of above 55 and genetic and environmental factors interfere in this disease. the aim of this study was to determine the factors affecting diabetes type ii with generalized mixed linear model. methods: population of this study included 2820 p...
In this study, a combined electro-(Fenton/coagulation/flotation) (EF/EC/El) process was studied via degradation of Disperse Orange 25 (DO25) organic dye as a case study. Influences of seven operational parameters on the dye removal efficiency (DR%) were measured: initial pH of the solution (pH0), applied voltage between the anode and cathode (V), initial ferrous ion concentration (CFe), initial...
introduction: with using multiple linear regression (mlr), can simultaneously analyses several different variables, but to get the desirable results from the mlr, the samples must be much and accurate. therefore, this method has high sensitivity and may cause errors in results. in addition, to use this method, the variable must have normal distribution and modification follow from a linear rela...
background: tehran is the capital of iran with an increasing multiple sclerosis (ms) incidence. a retrospective population-based study was conducted to evaluate the status of ms prevalence and ms incidence trends in tehran province, iran. methods: a population-based study was conducted from 1991 to 2014 in tehran province, the capital city of iran based on iranian ms society (imss) registry sys...
Statistical analysis and forecast discharge data play an important role in management and development of water systems. The most fundamental issues of statistical analysis and forecast discharge in Iran are lack of data in long term period and lack of stream flow data in gauging stations. Considering the issues mentioned in this study, we tried to estimate the daily data flow (runoff) of Santeh...
An accurate wind turbine power curve (WTPC) plays a vital role in forecasting and condition monitoring. There are two major shortcomings of current WTPC models that prevent more estimation, limited nonlinear fitting ability the lack in-depth understanding complex characteristics WTPC. This paper proposes novel regression to overcome these disadvantages simultaneously. First, they make use multi...
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