a lot of people think that the economic development of a country is associated with its grossdomestic product (gdp), but gdp does not consider aspects as important as the environmental performanceof a country. nowadays, environmental issues are one of the most important aspects of the long termdevelopment of a country and play an important role in a nation’s wealth. although the analysis of cou...

the occurrence of genotype × environment (ge) interaction has led to the development of several stabilityparameters that can be used to estimate the stability of cultivar performance. repeatability of 20 parametric and non-parametric stability measures across years and yield subsets as well as their association with mean seed yield and interrelationship among them in safflower (carthamus tincto...

We present a general framework for comparative theory of variability measures, with particular focus on the recently introduced one-parameter families inter-Expected Shortfall differences and inter-expectile differences, that are explored in detail compared widely known applied inter-quantile differences. From mathematical point view, our main result is characterization symmetric comonotonic me...

In applications of differential geometry to problems of parametric inference, the notion of divergence is often used to measure the separation between two parametric densities. Among them, in this paper, we will verify measures such as Kullback-Leibler information, J-divergence, Hellinger distance, -Divergence, … and so on. Properties and results related to distance between probability d...

the objective of this study was to compare non-parametric stability procedures, and to apply different non-parametric tests for genotype × environment interaction (g×e) on seed yield data of 17 chickpea genotypes grown during 2004-05 growing seasons in 10 rainfed environments in iran. the non-parametric measures used for g × e interaction were highly significant (p