In this article, the failure rates of the system's components are functions of time t. We study two cases (i) the mixture of two stages of life time distribution with Weibull failure rates, (ii) the mixture of two stages failure rates with Weibull distribution. The reliability equivalence factors of some systems with identical components are obtained. Two different methods are used to improve t...

It is possible to mix two dyes of opposite selective bacteriostatic powers and obtain a mixture which combines the powers of the two components. This possibility has been established by experiments with a mixture of gentian violet, which has a predilection for Gram-positive organisms, and acriflavine, which has a predilection for Gram-negatives; a mixture of these two dyes is quite bactericidal...

Absbac-The limits of superheat of the normal alcohols from methanol to octanol and of ethanol/n-urooanol. n-DroDanolh-butanol, and n-butanolln-pentanol mixtures were measured at atmospheric’pr&&. ‘6e r&l& w& predicted using a new m&&d based on the generalized corresponding states principle (GCSP) in which properties of two reference substances were used to predict the superheat limits of the li...

Electrophoretic patterns of mixtures of ovalbumin and yeast nucleic acid indicate that the constituents migrate independently of each other in buffer solutions of 0.1 ionic strength and at pH values somewhat higher than the isoelectric point of the protein. In the isoelectric region, however, the patterns from the two sides of the channel exhibit asymmetries that can be explained by assuming th...

Mixture models have been widely used in cluster analysis. Traditional mixture densities-based clustering algorithms usually predefine the number of clusters via random selection or contend based knowledge. An improper pre-selection of the number of clusters may easily lead to bad clustering outcome. Expectation-maximization (EM) algorithm is a common approach to estimate the parameters of mixtu...

An important aspect of mixture modeling concerns the selection of the number of mixture components. In this paper, we discuss the Bayes factor as a selection tool. The discussion will focus on two aspects: (i) computation of the Bayes factor and (ii) prior sensitivity. For the computation, we propose a variant of Chib’s estimator that accounts for the non-identifiability of the mixture componen...

Mammals generally have the ability to extract odor information contained in complex mixtures of molecular components. However, odor mixture processing has been studied electrophysiologically only in insects, crustaceans, and fish. As a first step toward a better understanding of this processing in high vertebrates, we studied the representation of odor mixtures in the rat olfactory bulb, i.e., ...

— This paper deals with the estimation of the modes of an univariate mixture when the number of components is known and when the component density are well separated. We propose an algorithm based on the minimization of the " kp " criterion we introduced in a previous work. In this paper we show that the global minimum of this criterion can be reached with a linear least square minimization fol...

A new method for the computation of the posterior distribution of the number k of components in a finite mixture is presented. Two aspects of prior specification are also studied: an argument is made for the use of a Poi(1) distribution as the prior for k; and methods are given for the selection of hyperparameter values in the mixture of normals model, with natural conjugate priors on the compo...