In this paper, we propose a new diagnostic test for residual cross–section independence in a nonparametric panel data model. The proposed nonparametric cross–section dependence (CD) test is a nonparametric counterpart of an existing parametric CD test proposed in Pesaren (2004) for the parametric case. We establish an asymptotic distribution of the proposed test statistic under the null hypothe...

Variability in rainfall and temperature results different impacts on agricultural practices. Assessesment of variability trend for the district Musanze Rwanda was conducted using six meteorological stations a period 37 years, ranging from 1981 to 2018, data were obtained Meteorology Agency. is located highland areas Rwanda, understanding paramount increase uptake climate information support str...

Epigenetic research leads to complex data structures. Since parametric model assumptions for the distribution of epigenetic data are hard to verify we introduce in the present work a nonparametric statistical framework for two-group comparisons. Furthermore, epigenetic analyses are often performed at various genetic loci simultaneously. Hence, in order to be able to draw valid conclusions for s...

235 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/ by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. Statistical notes for clinical researchers: Nonparametric statistical methods: 1. Nonpa...

This paper considers a class of nonparametric autoregression models with nonstationarity in the mean and then a class of nonparametric time series regression models with nonstationarity in both the conditional mean and conditional variance. For the nonparametric autoregression case, we propose a nonparametric unit–root test for the conditional mean. For the nonparametric time series regression ...

This paper presents a test for exogeneity of explanatory variables that minimizes the need for auxiliary assumptions that are not required by the definition of exogeneity. It concerns inference about a non-parametric function g that is identified by a conditional moment restriction involving instrumental variables (IV). A test of the hypothesis that g is the mean of a random variable Y conditio...

BACKGROUND Toxoplasmosis is becoming a global health hazard as it infects 30-50% of the world human population. Clinically, the life-long presence of the parasite in tissues of a majority of infected individuals is usually considered asymptomatic. However, a number of studies show that this 'asymptomatic infection' may also lead to development of other human pathologies. AIMS OF THE STUDY The...

Methods Total nasal symptom score (TNSS), NW and turbinate biopsy specimens were obtained from 36 AR and 20 NAR patients. Atopic patients had positive skin prick test to D.pteronyssinus (35/97%) and L.perenne (18/50%) extracts from Hollister-Stier. Total and differential cell counts were evaluated by a quantitative method of nasal cytology; albumin and IL-8 concentrations were determined in the...

Effects of climate change are perceived in ever larger areas the planet. Heat waves occur with increasing frequency, constituting a risk to population, especially for most sensitive subjects. Preventive information population on characteristics phenomenon and behavior be supported is means reduce health risks. To monitor intensity heat physiological discomfort by humans, there indices based per...

Landscape classification and hydrological regionalisation studies are being increasingly used in ecohydrology to aid in the management and research of aquatic resources. We present a methodology for classifying hydrologic landscapes based on spatial environmental variables by employing non-parametric statistics and hybrid image classification. Our approach differed from previous classifications...