Forecasting of agricultural outputs well in advance has always been the focus of numerous researchers due to its direct implications on various areas of the society. This study aims to develop State Space Models (SSMs) with weather as an exogenous input over the commonly used ARI...
Open access
Research Article10.9734/cjast/2020/v39i4831268
Parameter constancy is a fundamental issue for empirical models to be useful for forecasting, analyzing or testing any theory. Unlike classical regression analysis, the state space models (SSM) are time varying parameters models as they allow for known changes in the structure of...
Open access
Research Article10.9734/air/2020/v21i530202
The present study is an attempt towards identification of principal agricultural and socio-economic dimensions in Haryana using principal component analysis (PCA) and canonical correlation analysis techniques. Principal component analysis transforms the original set of variables...
Open access
Research Article10.9734/AIR/2017/34767
A GGE Biplot provides an efficient graphical procedure for identification of favourable genotypes and mega-environment analysis. It displays the Genotype main effect (G) and genotype-by-environment (GE) interaction in two dimensions. It also possesses an extra property in the eva...
Open access
Research Article10.9734/AIR/2018/43488