reference curves are useful tools to monitor children’s growth status and can promote growth velocity in infants. in this regard, various parametric and semi-parametric methods are frequently used in the last decades. in the present paper, nonparametric quintile regression method is used as a powerful and applicable methodology to estimate height curves and normal values of height-for-age in ch...

This study was conducted to investigate the prediction of growth performance using linear regression and artificial neural network (ANN) in broiler chicken. Artificial neural networks (ANNs) are powerful tools for modeling systems in a wide range of applications. The ANN model with a back propagation algorithm successfully learned the relationship between the inputs of metabolizable energy (kca...

Abstract Machine learning (ML) has powerful nonlinear processing and multivariate capabilities, so it been widely utilised in the fatigue field. However, most ML methods are inexplicable black-box models that difficult to apply engineering practice. Symbolic regression (SR) is an interpretable machine method for determining optimal fitting equation datasets. In this study, domain knowledge-guid...

human capital has always been of high importance in economic growth literature. in this regard, several studies have tried to explain the role of this variable via the use of different models. the present study, in line with the previous ones, going to estimate the share of human capital in iranian economy production from 1974 to 2011 within the framework of ozawa (1965) and lucas’s (1988) endo...

the objective of this research is to explore the effect of international outsourcing on economic growth in asia-pacific countries. accordingly, a panel regression model based on soderbom and teal (2003) is estimated using data of the considered countries over the period 1995-2006. in addition to international outsourcing, the model includes human capital, labor force and physical capital as the...

in the present study, air quality analyses for ozone (o3) were conducted in shiraz, a city in the south of iran. the measurements were taken from 2011 through 2012 in two different locations to prepare average data in the city. the average concentrations were calculated for every 24 hours, each month and each season. results showed that the highest concentration of ozone occurs generally in the...

logistic regression (lr) was used to model urban growth between the years 1987 and 2001 in gorgan city, north east of iran. three groups of variables including economic-social, land use and biophysical variables were used in the modeling practice. using covariance of the independent variables, distance to administrative and sporting centers plus distance to cities were removed. roc (relative op...

Transformation of land use-land cover change occurs due to the numbers and activities of people. Urban growth modeling has attracted authentic attention because it helps to comprehend the mechanisms of land use change and thus helps relevant policies made. This study applied logistic regression to model urban growth in the Ahvaz Metropolitan Area of Khuzestan province in IDRISI Selva software a...