In breeding for plant disease resistance programs, a large number of new improved genotypes are tested over a range of test pathogens or environments and the underlying statistics used to model this system may be rather complicated. Due to ordinal nature of most measured traits of disease responses, some nonparametric methods used for analyzing genotype × environment (GE) interaction in two dat...

In clinical trials comparing treatments for superficial bladder cancer, patients are at risk of repeated recurrences of their disease. Statistical methods of analyzing such data are required. This article presents a nonparametric approach. A statistical test to compare the recurrence or tumor rates in two treatment groups, using the randomization distribution, is described. Confidence intervals...

The empirical likelihood method based on the empirical distribution functions is a wellaccepted statistical tool for testing. Recently, the density-based empirical likelihood technique was proposed and applied successfully to construct a powerful two-sample nonparametric likelihood ratio test based on samples entropy. However, while the problem of one-sided alternatives has received considerabl...

Kitamura and Stoye (2018) recently proposed a nonparametric statistical test for random utility models of consumer behavior. The is formulated in terms linear inequality constraints quadratic objective function. While the conceptually appealing, its practical implementation computationally challenging. In this paper, we develop column generation approach to operationalize test. These novel comp...

Neotropical forests offer alternatives to surface cooling and their conservation is an effective solution for mitigating the effects of climate change. Little known about importance tropical dry temperature regulation in Chiquitania, a region with increasing deforestation rates. The impact that processes are having on Chiquitania remains open question. This study evaluated trends forest cover l...

The Accreditation Council for Graduate Medical Education sets forth a number of required educational topics that must be addressed in residency and fellowship programs. We sought to provide a primer on some of the important basic statistical concepts to consider when examining the medical literature. It is not essential to understand the exact workings and methodology of every statistical test ...

We derive a strong approximation of a local polynomial estimator (LPE) in nonparametric autoregression by an LPE in a corresponding nonparame-tric regression model. This generally suggests the application of regression-typical tools for statistical inference in nonparametric autoregressive models. It provides an important simpliication for the bootstrap method to be used: It is enough to mimic ...

The study concerned the analysis of temporal and spatial variability floods in Republic Armenia (RA). While there are number reports on flood formation rivers RA, literature lacks results using nonparametric test to analyze this disastrous phenomenon. For that purpose, dynamics changes extreme maximum instantaneous runoff, as well air temperature precipitation database was evaluated compared be...