Results 41 to 50 of about 84,760 (160)
Estimation of Generalized Gompertz Distribution Parameters under Ranked-Set Sampling
This paper studies estimation of the parameters of the generalized Gompertz distribution based on ranked-set sample (RSS). Maximum likelihood (ML) and Bayesian approaches are considered.
Mohammed Obeidat +2 more
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Auxiliary variable is commonly used in survey sampling to improve the precision of estimates. Whenever there is auxiliary information available, the researchers want to utilize it in the method of estimation to obtain the most efficient estimator ...
Nitu Mehta (Ranka), Latika Sharma
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Bayesian Estimation of Log-Normal Distribution Under Ranked Set Sampling With Missing Data
In this paper, joint Bayesian estimation of two parameters of a log-normal distribution is obtained based on simple random sampling (SRS) and ranked set sampling (RSS) with complete and missing data.
Fengxi Zong, Rubing Li
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Half Logistic Inverted Nadarajah–Haghighi Distribution under Ranked Set Sampling with Applications
In this paper, we present the half logistic inverted Nadarajah–Haghigh (HL-INH) distribution, a novel extension of the inverted Nadarajah–Haghigh (INH) distribution. The probability density function (PDF) for the HL-INH distribution might have a unimodal,
Naif Alotaibi +5 more
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Regression Estimators in Ranked Set, Median Ranked Set and Neoteric Ranked Set Sampling
This paper proposes new regression estimators in median ranked set and neoteric ranked set sampling using one and two auxiliary variables. The proposed estimators have large gain in presicion compared to the classical ranked set sampling (RSS) design. A simulation study is designed to see the performance of suggested estimators. A real data set example
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Reproducibility of mean estimators under ranked set sampling
In statistical inferences, the estimation of population parameters using information obtained from a sample is an important method. This involves choosing an appropriate sampling method to collect data.
Syed Abdul Rehman +3 more
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Optimal Imputation Methods under Stratified Ranked Set Sampling
It is long familiar that the stratified ranked set sampling (SRSS) is more efficient than ranked set sampling (RSS) and stratified random sampling (StRS). The existence of missing values alter the final inference of any study.
Shashi Bhushan , Anoop Kumar
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On Some Improved Class of Estimators by Using Stratified Ranked Set Sampling
In this manuscript, we propose the combined and separate difference and ratio type estimators of population mean using stratified ranked set sampling. Additionally, several well-known estimators are identified as the sub-class of the suggested estimators.
Shashi Bhushan +4 more
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Improved Estimation from Ranked Set Sampling
Ranked set sampling is used when the measurement or quantification of units of the variable under study is difficult but the ranking of units of sets of small sizes can be done easily by an inexpensive method. Dell and Clutter (1972) showed that the sample mean based on ranked set sample is more efficient than the sample mean based on simple random ...
ARNAB, Raghunath, OLAOMİ, J.o.
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Ranked Set Sampling Based Regression Estimators in Two-Stage Sampling Design
This paper examines the use of ranked set sampling in the second stage of the two-stage sampling design to improve the regression estimator. The mean square errors of the suggested estimators are computed, and both theoretical and simulation results ...
Worthing Yanglem, Phrangstone Khongji
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