[PDF] Top 20 Finding the mean in a partition distribution

... the mean partition approx- imation by an alternative consensus clustering algorithm ...and mean partition approximation versus other consensus clustering approaches [8, ... See full document

... Abstract. Howard’s policy iteration algorithm is one of the most widely used algorithms for finding optimal policies for controlling Markov De- cision Processes (MDPs). When applied to weighted directed graphs, ... See full document

... of mean first passage times in Markov chains involves the solution of a family of linear ...for finding the mean first passage ...stationary distribution of the Markov chain without the ... See full document

... mixture distribution framework involving two-step ...the distribution separately, a binomial (n, p 0 ) distribution was used to estimate the probability of zeros in the data, and a poisson (μ) ... See full document

... normal distribution with equal mean and variance arises in many applied ar- eas: collective theory of risk (Ammeter (1962)); contracts and supply assurance in the UK health care market (Fenn et ...finite ... See full document

... probability distribution were used to evaluate which circular probability distribution gives the best fitting for southwesterly Malaysian wind direction data, namely circular uniform distribution, ... See full document

... 1978), finding that education did not include post-graduate studies but was limited to education up to and including a bachelor’s ...1945), finding that it was within a trustee’s discretion to refuse to ... See full document

... remarkable finding of our study was that variability in any of the RBC indices (RDW) or platelet indices (PDW) may be clinically important in identifying the risk of coronary artery diseases and may have a ... See full document

... Gini mean difference for many conti- nuous and discrete distributive ...in finding a solution for the various integrals featuring the error function, we were unable to deduce the formula of the mean ... See full document

... example, Gupta, A. [9] presented results of a life-test on ten laboratory mice following inoculation with a uni- form culture of human tuberculosis. The test was terminated with the death of the seventh specimen. Thus, ... See full document

... four-parameter distribution that was applied to modelling healthcare costs by Jones (2011) specifying the location parame- ter as a linear function of covariates using software developed by Jenkins ...the ... See full document

... The mean fold error of our selected model (approach (c)) was ...the mean fold error reported in the literature for the interspecies scaling of ...of distribution are generally the results of ... See full document

... If sample size is sufficiently large the maximum likelihood estimators (MLE) are consistent and efficient in terms of mean squared error. If sample size is small, there is relatively little information about the ... See full document

... n is known as trial division. It consists of testing whether n is a multiple of any integer between 2 and n . Algorithms much more efficient than trial division have been devised to test the primality of large numbers. ... See full document

... In our paper, we consider a ratio involving two or more random variables that jointly have a multinomial distribution. This situation is similar to relative risk or risk ratio which is the ratio of the probability ... See full document

... Various bounds for the r − weighted Gini mean difference of an empirical distribution are established.. 1..[r] ... See full document

... To construct an estimator based on the posterior distribution, one may maximize the posterior probability of a ball of appropriate radius as in Theorem 2.5 of Ghosal, Ghosh and van der Vaart (2000). However, their ... See full document

... | ρ ′ (t)/ρ(t) | ≤ C < ∞ . (1.7) The prototypical example is the uniform distribution on an interval [a, b]. Informally, one can say that the probability distributions satisfying (V1) are ”comparable” to the ... See full document

... statistics of a finite-size MSD (the square of a sum of correlated Gaussian variables or, more generally, a quadratic form) is a classical problem in the theory of stochastic processes (see Ref. [15] and references ... See full document

... This paper explains how to use a bivariate normal distribution (BND) fit in Hough Space around the bin with the maximum entries in order to collect inliers in Hough space [5]. With this method, we are able to ... See full document