نتایج جستجو برای: general linear lagged regression
تعداد نتایج: 1387247 فیلتر نتایج به سال:
introduction: the development of an appropriate model for the quality control of an industrial wastewater treatment system can save the time as well as the cost. this study was performed to determine an appropriate model in order to predict the cod and tkn parameters by bod5 and nh4+ in the meybod industrial estate waste water treatment plant (wwtp). methods: this descriptive – analytical study...
In this study, the temperature in friction stir welding of duplex stainless steel has been investigated. At first, temperature estimation was modeled and estimated at different distances from the center of the stir zone by the multivariate Lagrangian function. Then, the linear extrapolation method and multiple linear regression method were used to estimate the temperature outside the range and ...
BACKGROUND In the past three decades, Tehran has experienced warmer summer so we need to determine heat-related mortality to establish appropriate public health activities during hot summers. The aim of the present study was to detect heat waves during the last decades and then determine excess mortality in immediate and lagged times. METHODS An ecological study based on time-series model was...
In this study, the temperature in friction stir welding of duplex stainless steel has been investigated. At first, temperature estimation was modeled and estimated at different distances from the center of the stir zone by the multivariate Lagrangian function. Then, the linear extrapolation method and multiple linear regression method were used to estimate the temperature outside the range and ...
This study identified the possible threshold to predict dengue fever (DF) outbreaks using Baidu Search Index (BSI). Time-series classification and regression tree models based on BSI were used to develop a predictive model for DF outbreak in Guangzhou and Zhongshan, China. In the regression tree models, the mean autochthonous DF incidence rate increased approximately 30-fold in Guangzhou when t...
in the present study, the energetic and economic modeling of lentil and chickpea production in esfahan province of iran was conducted using adaptive neuro-fuzzy inference system (anfis) and linear regression. data were taken by interviewing and visiting of 140 lentil farms and 110 chickpea farms during 2014-2015 production period. the results showed that the yield and total energy consumption w...
Predicting the streamflow regimes using climate dynamics is important in water resource management. However, Indonesia, there are few studies targeting indices and streamflow. A previous study found difficulty developing a statistical prediction model for this relationship due to its non-linear nature. This attempted address that gap by applying multiple regression (MR) models second- third-ord...
Urban expansion is a form of land cover and use change (LCLUC) that occurs globally, population growth can be driver driven by LCLUC. Determining the cause–effect relationship challenging because temporal resolution data limited decadal censuses for most countries. The purpose this study to explore relative timing between based on case northern Taiwan from 1990 2015. A unique dataset was acquir...
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