In this paper, we obtain the distribution functions of the range and the quasi-range of the random variables arising from the extended type I generalized logistic distribution.

One approach to limiting disclosure risk in public-use microdata is to release multiply-imputed, partially synthetic data sets. These are data on actual respondents, but with con…dential data replaced by multiply-imputed synthetic values. A mis-speci…ed imputation model can invalidate inferences because the distribution of synthetic data is completely determined by the model used to generate th...

Digital watermarks are usually embedded in the still images’ frequency domain. The DWT/DCT coefficients are usually modelled by the Generalized Gaussian Distribution, while the DFT coefficients are modelled by the Weibull Distribution. The idea of this paper is to use statistical properties of the host signal. The watermark is embedded through the modification of the distribution of host signal...

Abstract. We analyze the statistical properties of nonparametrically estimated functions in a functional-coefficient model if the data has a unit root. We show that the estimated function converges at a faster rate than under the stationary case. However, the estimator has a mixed normal distribution so that point-wise confidence intervals are calculated using the usual normal distribution theo...

Constraint of prompt photon data on the polarized gluon distribution is discussed in terms of uncertainty estimation for polarized parton distribution functions (PDFs). By comparing between uncertainty of the double spin asymmetry AγLL and expected statistical errors at RHIC, we found that the gluon distribution is effectively constrained in the region 0.04 < x T < 0.2 with the data at transver...

This paper introduces the multinomial model of text classiication and retrieval. One important feature of the model is that the tf statistic, which usually appears in probabilistic IR models as a heuristic, is an integral part of the model. Another is that the variable length of documents is accounted for, without either making a uniform length assumption or using length normalization. The mult...

This paper introduces the multinomial model of text classiication and retrieval. One important feature of the model is that the tf statistic, which usually appears in probabilistic IR models as a heuristic, is an integral part of the model. Another is that the variable length of documents is accounted for, without either making a uniform length assumption or using length normalization. The mult...

One approach to limiting disclosure risk in public-use microdata is to release multiply-imputed, partially synthetic data sets. These are data on actual respondents, but with con…dential data replaced by multiply-imputed synthetic values. A mis-speci…ed imputation model can invalidate inferences based on the partially synthetic data, because the imputation model determines the distribution of s...