نتایج جستجو برای: multiple linear regressions
تعداد نتایج: 1201931 فیلتر نتایج به سال:
A nanocrystalline SnO2 thin film was synthesized by a chemical bath method. The parameters affecting the energy band gap and surface morphology of the deposited SnO2 thin film were optimized using a semi-empirical method. Four parameters, including deposition time, pH, bath temperature and tin chloride (SnCl2·2H2O) concentration were optimized by a factorial method. The factorial used a Taguchi...
The retention behavior and lipophilicity parameters of some antiphychotics were determined using reversed-phase thin layer chromatography. Quantitative structure-activity relationships studies have been performed to correlate the molecular characteristics of observed compounds with their retention as well as with their chromatographically determinated lipophilicity parameters. The effect of dif...
Prediction of ground-level ozone concentrations is very important due to the negative impacts of this pollutant on human health and environment. Multiple linear regression (MLR) and principal component (PCR) regression were used as statistical models for the forecasting of ozone concentrations. The aim of this study was to predict the next day maximum ozone concentration. The studies were perfo...
We consider the situation in which there are multiple proxies for one unobserved explanatory variable in a linear regression and provide a procedure by which the coefficient of interest can be extracted “post hoc” from a multiple regression in which all the proxies are used simultaneously. This post hoc estimator is strictly superior in large samples to coefficients derived using any index or l...
Introduction: High prevalence of neck pain has become an important health complain among dental practitioners which is followed by reduced working performance, burnout and early retirement. The purpose of this study is to assess the relationship between individual and occupational risk factors as well as forward head posture (FHP) with dentist’s neck pain and to determine the priority of t...
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...
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