نتایج جستجو برای: growth regression model
تعداد نتایج: 3021021 فیلتر نتایج به سال:
background: growth failure in children less than five years old can lead to the serious complications such as increased mortality, learning difficulties or physical disability. the aim of this study was to investigate the non-organic factors affecting the growth trend in less than two years children living in zanjan, iran. methods: this longitudinal study was conducted on a sample of 3566 chi...
The purpose of this study is to investigate the impact of exchange rate misalignment on inflation persistence. For this purpose, Vector Auto Regression method and Markov Switching model is used for quarterly data during 1989:4 -2014:3. The results show that, the impact of liquidity growth and exchange rate misalignment on inflation persistence is positive. On the other hand, GDP growth has a ne...
this paper investigates the possibility of both linear and nonlinear effects of energy consumption on economic growth in iran, using data for the period of 1959–2007 based on threshold regression. some previous studies support the view that energy consumption may promote economic growth. however, the conclusion drawn from this study suggests that such relationship exists only where there is a l...
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...
the aim of the present study was the estimation of (co) variance components and genetic parameters for body weight of moghani sheep, using random regression models based on b-splines functions. the data set included 9165 body weight records from 60 to 360 days of age from 2811 moghani sheep, collected between 1994 to 2013 from jafar-abad animal research and breeding institute, ardabil province,...
The proportional hazard Cox regression models play a key role in analyzing censored survival data. We use penalized methods in high dimensional scenarios to achieve more efficient models. This article reviews the penalized Cox regression for some frequently used penalty functions. Analysis of medical data namely ”mgus2” confirms the penalized Cox regression performs better than the cox regressi...
background :growth retardation in children is a result of nutritional ignorance, inappropriate care, and inadequate monitoring of growth monitoring. this study was performed to assess the effect of mothers education program based on the precede model on the mean weight of children (6-12 months) at health centers in shiraz, fars province. methods : this quasi experimental study was conducted o...
background:growth is one of the most important indices in child health. the best and most effective way to investigate child health is measuring the physical growth indices such as weight, height and head circumference. among these measures, weight growth is the simplest and the most effective way to determine child growth status. weight trend at a given age is the result of cumulative growth e...
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