نتایج جستجو برای: ranked set sampling

تعداد نتایج: 870528  

Journal: :Applied Mathematics-A Journal of Chinese Universities 2021

Journal: :Communications, Faculty Of Science, University of Ankara Series A1Mathematics and Statistics 1999

Journal: :Journal of Statistical Theory and Applications 2016

Journal: :Results in applied mathematics 2021

Abstract Recently, an alternative measure of uncertainty called cumulative residual extropy (CREX) was proposed by Jahanshahi et al. (2019). In this paper, we consider measures minimum ranked set sampling procedure with unequal samples (MinRSSU) in terms CREX and its dynamic version compare the information content based on MinRSSU simple random (SRS) designs. Also, using simulation, study new e...

Journal: :Statistics in Transition New Series 2022

Abstract Partial ranked set sampling (PRSS) is a cost-effective method. It combination of simple random sample (SRS) and (RSS) designs. The PRSS method allows flexibility for the experimenter in selecting when it either difficult to rank units within each with full confidence or experimental are not available. In this article, we introduce define likelihood function any probability distribution...

Journal: :Brazilian Journal of Probability and Statistics 2017

Journal: :Axioms 2022

In this paper, we have considered that ranked set sampling is able to estimate the parameters of exponentiated Pareto distribution. The method with which maximum likelihood estimators for distribution studied numerical since there no presence or possibility a closed-form at hands any other intellectual. approach well-suited one study as has been struggles in achieving it technique. order compar...

Ranked Set Sampling (RSS) is a statistical method for data collection that leads to more efficient estimators than competitors based on Simple Random Sampling (SRS). We consider testing the correlation coefficient of bivariate normal distribution based on Bivariate RSS (BVRSS). Under one-sided and two-sided alternatives, we show that the new tests based on BVRSS are more powerful than the usua...

Abstract. This Article introduce method of ranked set sampling with replacement (RSSWR) in finite population and express how to computing samples of inclusion probability for this method. The Horvitz-Thompson and Hansen-Hurwtz estimators using auxiliary variables introduce for this design and use 2011-12 Urban Households Income and Income and Expenditure survey data, gathered for Tehran by stat...

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