We study the non-parametric estimation of partially linear generalized single-index functional models, where systematic component model has a flexible semi-parametric form with general link function. suggest an efficient and practical approach to estimate (I) function, (II) coefficients as well (III) model. The procedure is developed by applying quasi-likelihood, polynomial splines kernel smoot...

Two procedures are proposed for calculating standard errors for network statistics. Both are based on resampling of vertices: the first follows the bootstrap approach, the second the jackknife approach. In addition, we demonstrate how to use these estimated standard errors to compare statistics using an approximate t-test and how statistics can also be compared by another bootstrap approach tha...

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In recent years, an increasing number of studies have used Voxel Based Morphometry (VBM) to compare a single patient with a psychiatric or neurological condition of interest against a group of healthy controls. However, the validity of this approach critically relies on the assumption that the single patient is drawn from a hypothetical population with a normal distribution and variance equal t...

We introduce the relative rank differential statistic which is a non-parametric approach to document and dialog analysis based on word frequency rank-statistics. We also present a simple method to establish semantic saliency in dialog, documents, and dialog segments using these word frequency rank statistics. Applications of our technique include the dynamic tracking of topic and semantic evolu...

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...

SUMMARY SNPLINK is a Perl script that performs full genome linkage analysis of high-density single nucleotide polymorphism (SNP) marker sets. The presence of linkage disequilibrium (LD) between closely spaced SNP markers can falsely inflate linkage statistics. SNPLINK removes LD from the marker sets in an automated fashion before carrying out linkage analysis. SNPLINK can compute both parametri...

We propose one parametric and one non-parametric method for detection of monotone trends in nutrient concentrations in brackish waters. Both methods take into account that temporal variation in the quality of such waters can be strongly influenced by mixing of salt and fresh water, thus salinity is used as a classification variable in the trend analysis. With the non-parametric approach, Mann-K...

Two frequently used parametric statistics of person-fit with the dichotomous Rasch model (RM) are adjusted and compared to each other and to their original counterparts in terms of power to detect aberrant response patterns in short tests (10, 20, and 30 items). Specifically, the cube root transformation of the mean square for the unweighted person-fit statistic, t, and the standardized likelih...

this paper, examines the factors that influence energy intensity- the ratio of energy consumption to gdp- in 42 oil exporting and none-oil exporting countries in the period 1985 to 2009. the research applies panel data models to analyze the impacts of oil price, gdp, exchange rate, co2 emissions, population, surface area and productivity on energy intensity. an attempt is made in this paper, to...