[PDF] Top 20 Stratified Two-Phase Ranked Set Sampling

... Ranked set sampling (RSS) introduced by McIntyre (1952), was used to estimate the mean pasture and forage ...of two or three trees standing nearby easily by visual inspection without measuring ... See full document

... Ranked set sampling (RSS) is a sampling technique which is used to reduce cost and increase efficiency in that situation where the measurement of survey variable is costly and time consuming, ... See full document

... Al-Saleh and Al-Omari (2002) extended the DRSS for multistage RSS method to increase the efficiency of the estimators for fixed value of the sample size, Al-Omari and Raqab (2012) suggested truncation RSS method for ... See full document

... single sampling plan based on ranked data scheme is proposed. Two main requirements are considered for the new plan: the lifetime of the test units is assumed to follow the generalized exponential ... See full document

... Taking the advantage of recent developments on the theory of order statistics of inde- pendent non-identically distributed (INID) random variables as portrayed in Vaughan and Venables (1972), Balakrishnan (1988), ... See full document

... Dell and Clutter (1972) and Takahasi and Wakimoto (1968) explained the mathemat- ical theory behind the claims of McIntyre (1952, 2005) by showing that the efficiency of the RSS mean with respect to SRS, defined by the ... See full document

... extreme ranked set sample (ERSS) in case of even sample size which is easier to use than the usual RSS procedure to estimate the population ...median ranked set sampling (MRSS) method ... See full document

... Further to validate first degree of approximation, we assume that the sample size is large enough to get  0 and  1 as small so that the terms involving  0 and or  1 in a degree greater than two will be ... See full document

... easily ranked by visual ...well ranked by eye without ...a sampling tech- nique to reduce the number of necessary measurements to be made, maintaining the unbiasedness of the SRS mean and reducing ... See full document

... RSS are applied for estimating parameters of some distributions: for example location- scale family of distribution by Stokes (1995), two-parameter exponential distribution by Lam et al. (1994), bivariate normal ... 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 method to ... See full document

... normal, two contaminated normal, t, Gamma, Uniform, Beta, Laplace, exponential and χ2 with specific ...powerful ranked set sampling (RSS) are compared with the traditional simple random ... See full document

... are two independent normal, exponential, gamma and Weibull random variables; for more detailed information, see also Kotz et ...based ranked set sampling (RSS) using both parametric and ... See full document

... of two phase ...resulting sampling is termed as multiphase sampling, when the sample for the main survey is selected in more than two ...first phase to collect information on ... See full document

... median ranked set and neoteric ranked set sampling using one and two auxiliary ...classical ranked set sampling (RSS) ...data set example is also ... See full document

... fact, two factors may affect the efficiencies of estimators ob- tained via the RSS scheme namely, the set size (m) and the ranking ...the set size, the larger the effi- ciency of the ...the ... See full document

... Generally, two-phase sampling procedure is used when it is necessary to make use of auxiliary information to improve the precision of an ...first phase sample is used to estimate the ... See full document

... In our simulation study for m = 3, we first select 3 units at random from the NSFH “population”. We rank these 3 units by some characteristic or auxiliary variable depending on the situation. In our case, we want ... See full document

... probability sampling designs are appealing when populations are rare and clustered because survey effort can be targeted to subareas of high ...probability sampling offer flexibility for designing a long ... See full document

... into two groups as a single machine clustering multiple machine ...using sampling with dimension reduction and multiple machines clustering with the parallel and MapReduce approach ...the sampling ... See full document