[PDF] Top 20 THE ROC CURVE MODEL FROM GENERALIZED-EXPONENTIAL DISTRIBUTION

... parameter generalized exponential distribution GED(  ) was introduced by Kundu and Gupta [7], as an alternative to the gamma and Weibull distributions for analyzing failure time ...cumulative ... See full document

... new distribution, called Odds Generalized Exponential-Pareto distribution (OGEPD) is proposed for modeling lifetime ...new distribution including estimation and simulation issues is ... See full document

... statistics from the future sample from the generalized exponential distribution on the basis of an observed (informative) adaptive Type-II progressive censored data from the same ... See full document

... Weibull distribution with three parameters. We call the new distribution; the odds generalized exponential-inverse Weibull distribution, which is a particular case of T-X family of ... See full document

... This distribution is capable for representing different shapes of failure rates and hence different shapes of aging ...well-known generalized exponential distribution (GED) introduced by Gupta ... See full document

... linear exponential distribution is also known as the Linear Fail- ure Rate distribution , having exponential and Rayleigh distribu- tions as special cases, is a very well-known ... See full document

... geometric Distribution, Merovci et al [7] on transmuted generalized Rayleigh distribution, Merovci et al [8] on transmuted Pareto distribution and Merovci et al [9] on transmuted Lindley ... See full document

... the distribution of nano and micro droplets spreading when droplets impact at an oblique ...the generalized exponential distribution as a new alternative for spreading ...The ... See full document

... The recent statistical literature is flooded with many extensions and generalizations of continuous statistical distributions. A variety of methods have been proposed to extent families of distributions by including ... See full document

... a generalized exponential model whose exact moments and normalizing con- stant are obtained in terms of Meijer’s generalized hypergeometric ...The generalized inverse Gaussian ... See full document

... This paper deals with the estimation of R=P(Y<X) when X and Y are two independent generalized exponential distributed random variables. We assume that the sample from each population contains one ... See full document

... In recent years there has been a growing interest in the study of inference problems associated with stress-strength model and record values. The estimation problem of R = P(Y < X) based on record values was ... See full document

... bi-exponential ROC model using one parameter exponential distribution (Betinec 2008 and Pundir and Amala ...of ROC curves based on Exponential distribution to ... See full document

... lifetime model, called the odd generalized exponential gompertz ...new distribution are ...the model parameters and the observed Fisher’s information matrix is ...proposed model ... See full document

... The generalized exponential function in comparison with a second-degree polynomial and the Schnute function with b S  1 ...the generalized exponential function and the Schnute function have ... See full document

... The density functions of GOS given in (1.2) and (1.3) provide several models of ordered random variables as special case. Specifically for m  0 and k  1 the model reduces to Ordinary Order Statistics as given by ... See full document

... µ Distribution: The physical interpretation of the η − µ fading distribution is based on considering a signal composed of clusters of multipath waves propagating in a non- homogeneous ...This model ... See full document

... To see which one of these models was more appropriate to fit data the maximum likelihood estimation (MLE) of parameters, Akaike Information criterion (AIC) value, Bayesian Information Criterion (BIC) value, Kolmogorov- ... See full document

... 9. B.Renganathan (2005). “A study of concentration of rural population of Tamil Nadu state”. Journal of Extension and research, volume 7, numbers 1 and 2. Ghandhigram rural institute. 10. B.Renganathan and M.kalaiarasi ... See full document

... The generalized probability weighted moments are widely used in hydrology for estimating parameters of flood distributions from complete ...partial generalized probability weighted moments was used ... See full document