[PDF] Top 20 Estimation of the Parameters of the New Weibull-Pareto Distribution Using Ranked Set Sampling

... the new ob- tained estimators are compared via a simulation study with the conventional estimators obtained by ...Thus, estimation based on RSS scheme and its modification are more efficient than ... See full document

... of ranked set sampling (RSS) was first introduce by McIntyre (1952) as a process of improving the precision of the sample mean as an estimator of the population ...mean. Ranked set ... See full document

... called ranked set ...extreme ranked set sampling method for estimating the parameters of normal, expo- nential and gamma ...extreme ranked set sampling ... See full document

... population parameters like the mean, total or ratio, product and regression, sample surveys experts sometimes use auxiliary information to improve precision of the ...random sampling (SRS), the usual ... See full document

... Parameters' estimation using confidence intervals is more desirable than merely testing if the parameter equals a specified ...Interval estimation gives the practitioners an idea about the ... See full document

... While sampling units are constituted in the RSS method, due to not doing certain measurements, the possibility of doing error in ranking ...extreme ranked set sampling, ERSS (Samavi et ... See full document

... are Weibull with the different scale and the same shape ...the estimation procedure, we use the ML and the MML ...studies using two real data sets have been done to compare the efficiencies of the ... See full document

... In order to obtain closed form approximate MLE of θ , the last term of LHS of likelihood Equation (2) is re- placed by its expectation. The idea of replacing the hazard rate in the maximum likelihood equation by its ex- ... See full document

... a new Pareto-type distribution to model income and reli- ability ...the parameters of this distribution from both frequentist and Bayesian view ...unknown parameters and the ... See full document

... given distribution is symmetric, and is also more efficient than the SRS, RSS, and gives almost equal result with QRSS when ...asymmetric distribution, although there is small bias but give better result ... See full document

... Gaussian distribution IG ( x ; μ, β) is characterized by the property that 1 = p ffiffiffiffi X attains the maximum entropy among all nonnegative, absolutely continuous random variables Y with a given value at E Y ð Þ 2 1 ... See full document

... the ranked sampling scheme based on a new criterion to assign the location of the selected item within the second stage of the novel RSS scheme (Samawi et ...acceptance sampling research area ... See full document

... McIntyre (1952) was the first who introduced rank set sampling (RSS) to estimate the population mean. Takahasi and Wakimoto (1968) proved that sample mean under RSS is unbiased estimator of population mean. ... See full document

... where the constant c is a function of M and b. Notice that the allele frequencies described above are the mean values over all hypothetical populations under the same evolution forces. The real frequencies for any ... See full document

... The Weibull distribution is one of the most popular distributions in analyzing lifetime ...This weibull family, which was presented at first by Bagdonavicius and Nikulin (2001), contains four shapes ... See full document

... Our study has shown that, when using the GOLD 2011 evaluation system in a COPD population of specialty clinic, almost 40% of patients changed their severity assess- ment category. We have also shown that according ... See full document

... Here, we assume that the condition of two-phase sampling is valid i.e. the cost of collecting data on x is much cheaper than that of the study variable y . Observing the values of x , the sampled units are ... See full document

... underlying distribution is ...increased. Using MBRSS will cut down number of sampling units to be identified to approximately 2/3 to 1/2 of what is needed in TBRSS for selection of required ...of ... See full document

... The ordinary least squares method is one of themost popular procedures for estimating the parameters when the model is linear or non-linear in variables. Every linear or non-linear model involve response variable ... See full document

... of the analytical approximations depends on the shape parameter, the sample size and the considered return period. The approximations can only be evaluated for –0.5 < k < 0.5 as determined by the covariance of the ... See full document