We consider the problem of predicting total Indian summer monsoon rainfall (ISMR). A popular approach in prior literature [1], [2] has been to fit a regression model with the precipitation as predictand and various climatological indices and parameters as predictors. The predictor climatological indices and parameters are detected through an analysis of their linear correlations with the Indian...

We examine the class of multi-linear representations (MLR) for expressing probability distributions over discrete variables. Recently, MLRs have been considered as intermediate representations that facilitate inference in distributions represented as graphical models. We show that MLR is an expressive representation of discrete distributions and can be used to concisely represent classes of dis...

MOTIVATION Finding association between genetic variants and phenotypes related to disease has become an important vehicle for the study of complex disorders. In this context, multi-loci genetic association might unravel additional information when compared with single loci search. The main goal of this work is to propose a non-linear methodology based on information theory for finding combinato...

pearl millet has tolerance to harsh growing conditions such as drought. it is at least equivalent to maize and generally superior to sorghum in protein content and metabolizable energy levels. thus it is of importance for poultry feeding. amino acid (aa) determination is expensive and time consuming. therefore nutritionists have prompted a search for alternatives to estimate aa levels. traditio...

solar radiation data play an important role in solar energy relevant researches. these data are not available for some locations due to the absence of the meteorological stations. therefore, solar radiation data have to be predicted by using solar radiation estimation models. this study presents an integrated artificial neural network (ann) approach for estimating solar radiation potential over...

The quantitative structure property relationship (QSPR) for supercooled liquid vapour pressures (pL) of polybrominated diphenyl ethers (PBDEs) was investigated. The molecular distance–edge vector (MDEV) index was used as the structural descriptor. The quantitative relationship between the MDEV index and log pL was modelled by multivariate linear regression (MLR) and an artificial neural network...

Runoff prediction is one of the most important topics in water resources planning, development and management on a sustainable basis. The Generalized Feed Forward (GFF) Multiple Linear Regression (MLR). This study was undertaken to develop evaluate applicability GFF MLR models by way training testing developed during monsoon period (June September) for Narmada River Basin Chota Udaipur district...

This paper presents a methodology based on multivariate data analysis for characterizing potential source contributions of emerging contaminants (ECs) detected in 26 river water samples across multi-scape regions during dry and wet seasons. Based on this methodology, we unveil an approach toward potential source contributions of ECs, a concept we refer to as the "Pharmaco-signature." Explorator...