this paper analyses efficiency of short horizon event study methodology in general and efficiency of various test statistics based on price and trading volume in the period (iranian calendar) 1380:1389-q1 (2240 days) applying simulation method. we evaluate efficiency of 8 test statistics including parametric, non-parametric and induced variance statistics. we find various test statistics have e...

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...

multi-environment trials play a significant role in selecting the best cultivars to be used at different locations. the objective of this study was to identify grain and forage yields stability of grass pea advanced lines across different locations. the 14 advanced lines of grass pea, developed by the international center for agricultural research in dry areas (icarda), were tested at three dif...

The subject of Nonparametric statistics is statistical inference applied to noisy observations of infinite-dimensional “parameters” like images and time-dependent signals. This is a mathematical area on the border between Statistics and Functional Analysis, the latter name taken in its “literal” meaning – as geometry of spaces of functions. What follows is the 8-lecture course given by the auth...

Receiver operating characteristic (ROC) curves are useful statistical tools for medical diagnostic testing. It has been proved its capability to assess diagnostic marker’s ability to distinguish between healthy and diseased subjects and to compare different diagnostic markers. In this paper we introduce non parametric ROC summary statistics to assess a ROC curve across the entire range of FPFs ...