[PDF] Top 20 MSEPBurr Distribution: Properties and Parameter Estimation

... the MSEPBurr regression was applied to two real data sets. The MSEPBurr distribution was compared to Normal, Student-t, MSNBurr, and MSTBurr ...each parameter are obtained by 5,000 burn-in in ... See full document

... statistical properties of the parameter estimation by estimating the survival curves, while machine learning methods focus more on the prediction of event occur renceat a given time point by ... See full document

... We study the problem of robust estimation for the two-parameter Birnbaum-Saunders distribution. It is well known that the maximum likelihood estimator (MLE) is efficient when the underlying model is ... See full document

... exponential distribution and to determine the inefficiency level of the firms due to the effect of exogenous factors ...some properties of generalized trapezoidal distribution and its applications ... See full document

... logistic distribution using quadratic rank transmutation map to develop a transmuted half logistic ...extra parameter into its baseline distribution to enhance more flexibility in the analysis of ... See full document

... mixture distribution with two components. The properties of the proposed mixture model are discussed ...model parameter estimates provide reasonable results and close to true values of model ... See full document

... shape parameter in the Nakagami ...unknown parameter of inverse Rayleigh distribution using Squared error and Linex loss ...studied properties of Bayes estimators of the parameter using ... See full document

... Raeighly distribution using Archimedean copula and Kendall distribution ...basic properties of copulas and their nonparametric ...Kendall distribution function is selected suitable copula ... See full document

... In Malaysia, a continuous heavy downpour on December 2006 was the most tragic event that had occurred in Johor where it led to the 2006-2007 Malaysia floods. The incidence of heavy rainfall assisted with waste disposal ... See full document

... lifetime distribution of the experimental ...unknown parameter, without any formal ...the distribution of the maximum likelihood estimator of the exponential ...the properties of the ... See full document

... new distribution was compared with two-parameter Akash, Lindley, one parameter Pranav, Ishita, Akash, Sujatha, Shanker, Lindley, and Exponential distributions to determine the efficiency of the new ... See full document

... the parameter of the exponentiated gamma distribution and associated reliability function under general entropy loss function for a censored ...the parameter of the exponentiated gamma ... See full document

... statistical estimation and detection of outliers, characterization of probability distribution, goodness of fit-tests, quality control, analysis of censored sample, etc; see (Arnold et ...Lomax ... See full document

... Lindley distribution (GTPLD), which includes one parameter exponential and Lindley distributions, two-parameter Lindley distribution (TPLD) of Shanker and Mishra (2013), Weibull ... See full document

... statistical properties including moments based coefficients, hazard rate function, mean residual life function, mean deviations, stochastic ordering, Renyi entropy measure, order statistics, Bonferroni and Lorenz ... See full document

... Kw-TMOF distribution. The fact that the Kw-TMOF distribution generalizes existing commonly used distributions and introduces new lifetime models is an important aspect of the ...mathematical ... See full document

... probability distribution still remain strong in the field of probability theory and ...probability distribution called Exponential-Gamma distribution and derive appropriate expressions for its ... See full document

... skewness distribution, the three-parameter kappa distribution, is ...considered. Parameter estimation by the maximum likelihood method requires a certain cutoff in the parameter ... See full document

... the estimation methodologies and the confidence of data resources based on which the estimation is ...in distribution networks have been explored for the purpose of DSSE ...load estimation ... See full document

... a parameter of shape that is proportional to the ...rule estimation to the depth of the body is based on the principle that half width between flanks of curves at an amplitude of half the maximum ... See full document