Ranked Set Sampling
Regression Estimators in Ranked Set, Median Ranked Set and Neoteric Ranked Set Sampling
... median ranked set and neoteric ranked set sampling using one and two auxiliary ...classical ranked set sampling (RSS) ...data set example is also used. In ...
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An improved estimation of parameters of Morgenstern type bivariate logistic distribution using ranked set sampling
... parameters. Sampling to get a given number of record values will require several selection (uncertain number) of units and moreover the obtained concomitants of record values are correlated, which makes one to ...
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MONITORING THE PROCESS MEAN BASED ON QUALITY CONTROL CHARTS USING ON FOLDED RANKED SET SAMPLING
... Ranked set sampling has been demonstrated to be an efficient cost free sampling ...wasting sampling unit’s ...wasting sampling units by at least half of (1 – Ratio) comparing to ...
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Simple Unequal Allocation Procedure for Ranked Set Sampling with Skew Distributions
... A practical unbalanced Ranked Set Sampling (RSS) model is proposed to estimate the population mean of positively skewed distributions. The gains in the relative precisions of the population mean ...
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Different goodness of fit tests for Rayleigh distribution in ranked set sampling
... the ranked set sampling design for estimating the population ...are ranked visually or by any inexpensive method with respect to the variable of interest from smallest to largest Then the ...
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Inferences on a Scale Parameter of Bivariate Rayleigh Distribution by Ranked Set Sampling
... 27. Tahmasebi, S. and Jafari, A. A. (2014). Estimators for the parameter mean of Morgenstern type bivariate generalized exponential distribution using ranked set sampling. Statistics and Operations ...
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Improved confidence interval estimation of the population standard deviation using ranked set sampling: A simulation study
... of ranked set sampling against simple random sampling in estimating six confidence intervals for the population standard deviation is ...
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Weibull Bayesian Estimation Based on Maximum Ranked Set Sampling with Unequal Samples
... called ranked set ...extreme ranked set sampling method for estimating the parameters of normal, expo- nential and gamma ...extreme ranked set sampling method to ...
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Modified Ratio Estimators of Population Mean Based on Ranked Set Sampling
... In this paper, a generalized ratio-type estimator based on ranked set sampling (RSS) is proposed for estimating population mean using the known population parameters of auxiliary variable. The mean ...
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Partitioned Ranked Set Sampling: Introduction to a New Efficient Estimation Technique
... of Ranked set Sampling to the sample survey method, McIntyre(1952) proposed an unbiased estimator having lesser variance than SRS for population ...
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An Efficient Class of Estimators for the Finite Population Mean in Ranked Set Sampling
... In ranked set sampling (RSS), we select m random samples, each of size m units from the population, and rank the units within each sample with respect to a variable of ...
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Bayes Estimation of the Mean of Normal Distribution Using Moving Extreme Ranked Set Sampling
... 10. Al-Saleh, M.F. and Al-Hadhrami, S. (2003a).Parametric estimation for the location parameter for symmetric distributions using moving extremes ranked set sampling with application to trees data. ...
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Modified maximum likelihood estimators using ranked set sampling
... We consider estimation of the population mean and variance under ranked set sampling by using the modified maximum likelihood method. The closed-form maximum likelihood estimators of these parameters ...
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Prediction intervals for characteristics of future normal sample under moving ranked set sampling
... of sampling theory, McIntyre’s work has been referred to as the Ranked Set Sampling ...imperfect ranked set sampling and we elaborate on its importance during the course ...
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Estimation of population mean and median using double robust truncation based ranked set sampling
... Rank set sampling (RSS) was suggested by McIntyre (1952) for estimating mean pasture and forage ...double ranked set sampling design for estimating population ...extreme ranked ...
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Estimation of the Mean of the Exponential Distribution Using Maximum Ranked Set Sampling with Unequal Samples
... Al-Saleh and Al-Hadhrami [8] studied the MLE of location distributions based on MERSS. Abu-Dayyeh and Al-Sawi [9] have obtained modified MLE of the mean of exponential distribution using MERSS. The MERSS requires ...
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Induced Ranked Set Sampling when Units are Inducted from Several Populations
... Random sampling is well known as an unrestricted method of collecting the units from a ...alternative sampling methods which are capable of accommodating observational economy consid- ...as ranked ...
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Estimation of the Parameters of the New Weibull-Pareto Distribution Using Ranked Set Sampling
... on ranked set sampling (RSS) and some of its modifications is used to estimate the unknown parameters of the new Weibull-Pareto distri- ...the set size and number of cycles of the RSS schemes ...
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Improvement Over General And Wider Class Of Estimators Using Ranked Set Sampling
... using ranked set sampling is always smaller than the MSE of estimator, suggested by Srivastava in ...using ranked set sampling are the special cases of the proposed estimators ...
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Stratified Two-Phase Ranked Set Sampling
... Ranked set sampling (RSS) introduced by McIntyre (1952), was used to estimate the mean pasture and forage yield. The RSS is employed when precise measurement of the variable of interest is difficult ...
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