This research was conducted to study and classify the physico-chemicalproperties of soil, yield components of wheat and to determine the significance ofthese parameters on the grain yield formation. In this research, seven statisticalmethods consisting of simple correlation analysis (SCA), multiple linear regression(MLR), stepwise regression (SR), factor analysis (FA), principal componentanalys...

At present, no single indicator could be used as a golden index to estimate aging process. The biological age (BA), which combines several important biomarkers with mathematical modeling, has been proposed for >50 years as an aging estimation method to replace chronological age (CA). The common methods used for BA estimation include the multiple linear regression (MLR), the principal component ...

The aim of this study was to compare the prediction efficiency of different types of linear calibration models using near infrared absorbance spectral data of vegetable oils. The applied model types were PCA-MLR (Principal Component Analysis-Multiple Linear Regression), PLS (Partial Least Squares regression), PCA-ANN (Principal Component Analysis-Artificial Neural Network) and GA-ANN (Genetic A...

Source apportionment of surface water is essential for effective pollution control and sustainable management. Physical mechanism models usually need so much data parameters calibration that their application complex hydrologic condition watershed becomes difficult. However, reverse source tracing methods only based on quality present a certain subjectivity uncertainty. In this research, additi...

This study investigates drivers’ attitudes towards road safety in Jakarta and Hanoi. A comprehensive analysis of two datasets was achieved by multi-faceted analytical approaches Multiple Correspondence Analysis (MCA), Cluster (Hierarchical Two-step) (CA), Principal Component (PCA) Multinomial Logistic Regression (MLR). MCA CA were used to segment the drivers based on their sociodemographic char...

Nitrogen is a vital element in crops, and its management is a key measure to improve their yield and quality. Real-time monitoring of crop nitrogen content is needed to optimize products and crop production. In this paper we use chlorophyll fluorescence source to obtain pepper leaf image for machine vision and digital image processing and establish a greenhouse pepper leaf nitrogen content rapi...

This study estimates the neighborhood socioeconomic status (SES) effect on the risk of preterm birth (PTB) using multilevel regression (MLR) models. Birth data retrieved from year 2000 and 2010 Georgia Vital Records were linked to their respective census tracts. Principle component analysis (PCA) was performed on nine selected census variables and the first two principal components (Fac1 and Fa...

International electricity trade as a strategic commodity plays prominent role in the foreign market of countries. Electricity export forecasting leads to better production planning, supply security, blackouts reduc-tion, and obligations fulfillment. This paper aimed provide model for forecasting. In this regard, consumption different consumer sectors, gas consumption, population, GDP, electric-...

This research intends to offer a scientific foundation for environmental monitoring and early warning which will aid in the protection management of Qaroun Lake. Lake is increasingly influenced by untreated wastewater discharge from many anthropogenic activities, making it vulnerable pollution. For that, six pollution indices, namely contamination factor (Cf), enrichment (EF), geo-accumulation ...