A new approach to mutual information
A new expression as a certain asymptotic limit via "discrete micro-states" of permutations is provided for the mutual information of both continuous and discrete random variables.
A new approach to mutual information. II
A new concept of mutual pressure is introduced for potential functions on both continuous and discrete compound spaces via discrete micro-states of permutations, and its relations with the usual pressure and the mutual information are established. This paper is a continuation of the paper of Hiai and Petz in Banach Center Publications, Vol. 78.
A New Bayesian Approach to Quality Control Charts.
A new characterization of geometric distribution
A characterization of geometric distribution is given, which is based on the ratio of the real and imaginary part of the characteristic function.
A new class of estimators with an application to statistical quality control
A new class of semi-parametric estimators of the second order parameter.
A new estimation algorithm from measurements with multiple-step random delays and packet dropouts.
A new family of compound lifetime distributions
In this paper, we introduce a general family of continuous lifetime distributions by compounding any continuous distribution and the Poisson-Lindley distribution. It is more flexible than several recently introduced lifetime distributions. The failure rate functions of our family can be increasing, decreasing, bathtub shaped and unimodal shaped. Several properties of this family are investigated including shape characteristics of the probability density, moments, order statistics, (reversed) residual...
A new family of trivariate proper quasi-copulas
In this paper, we provide a new family of trivariate proper quasi-copulas. As an application, we show that – the best-possible lower bound for the set of trivariate quasi-copulas (and copulas) – is the limit member of this family, showing how the mass of is distributed on the plane of in an easy manner, and providing the generalization of this result to dimensions.
A new heuristic algorithm of fuzzy clustering
A New Interpretation of Optimality for E-Optimal Designs in linear Regression Models.
A new large deviation inequality for U-statistics of order 2
We prove a new large deviation inequality with applications when projecting a density on a wavelet basis.
A new method for identifying outlying subsets of data
A New Process Capability Index.
A new semigroup technique in Poisson approximation.
A New Sequential Design Based on the Robbins-Monro Procedure.
A new simulation estimator of system reliability.
A new stochastic restricted biased estimator under heteroscedastic or correlated error
In this paper, under the linear regression model with heteroscedastic and/or correlated errors when the stochastic linear restrictions on the parameter vector are assumed to be held, a generalization of the ordinary mixed estimator (GOME), ordinary ridge regression estimator (GORR) and Generalized least squares estimator (GLSE) is proposed. The performance of this new estimator against GOME, GORR, GLS and the stochastic restricted Liu estimator (SRLE) [Yang and Xu, Statist. Papers 50 (2007) 639–647]...
A new stochastic restricted biased estimator under heteroscedastic or correlated error
In this paper, under the linear regression model with heteroscedastic and/or correlated errors when the stochastic linear restrictions on the parameter vector are assumed to be held, a generalization of the ordinary mixed estimator (GOME), ordinary ridge regression estimator (GORR) and Generalized least squares estimator (GLSE) is proposed. The performance of this new estimator against GOME, GORR, GLS and the stochastic restricted Liu estimator (SRLE) [Yang and Xu, Statist. Papers50 (2007) 639–647]...
A new weighted Gompertz distribution with applications to reliability data
A new weighted version of the Gompertz distribution is introduced. It is noted that the model represents a mixture of classical Gompertz and second upper record value of Gompertz densities, and using a certain transformation it gives a new version of the two-parameter Lindley distribution. The model can be also regarded as a dual member of the log-Lindley- family. Various properties of the model are obtained, including hazard rate function, moments, moment generating function, quantile function,...