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  • Statistics In Transition

 

Article | 05-September-2021

On the improvement of paired ranked set sampling to estimate population mean

In ecological and environmental sampling the quantification of units is either difficult or overly demanding in terms of the time, money, workload, it requires. For this reason effi cient and cost-effective sampling methods need to be devised for data collecting. The most commonly used method for this purpose is the Ranked Set Sampling (RSS). In this paper, a sampling scheme called Improved Paired Ranked Set Sampling (IPRSS) is proposed to estimate the population mean. The performance of the

Syed Abdul Rehman, Javid Shabbir

Statistics in Transition New Series, Volume 22 , ISSUE 3, 193–205

Article | 20-December-2020

Estimating the population mean using a continuous sampling design dependent on an auxiliary variable

Janusz L. Wywiał

Statistics in Transition New Series, Volume 21 , ISSUE 5, 1–16

Article | 24-August-2017

EFFICIENT FAMILY OF RATIO-TYPE ESTIMATORS FOR MEAN ESTIMATION IN SUCCESSIVE SAMPLING ON TWO OCCASIONS USING AUXILIARY INFORMATION

In this paper, we proposed an efficient family of ratio-type estimators using one auxiliary variable for the estimation of the current population mean under successive sampling scheme. This family of estimators have been studied by Ray and Sahai (1980) under simple random sampling using one auxiliary variable for estimation of the population mean. Using these estimators in successive sampling, the expression for bias and mean squared error of the proposed estimators are obtained up to the first

Nazeema T. Beevi, C. Chandran

Statistics in Transition New Series, Volume 18 , ISSUE 2, 227–245

Article | 06-July-2017

ESTIMATION OF MEAN ON THE BASIS OF CONDITIONAL SIMPLE RANDOM SAMPLE

Janusz Wywiał

Statistics in Transition New Series, Volume 17 , ISSUE 3, 411–428

Article | 06-July-2017

PREDICTION OF A FUNCTION OF MISCLASSIFIED BINARY DATA

correct the bias of the naive predictor using a double sampling idea where both inaccurate and accurate measurements are taken on the binary variable for all the units of a sample drawn from the original data using a probability sampling scheme. Using this additional information and design-based sample survey theory, we derive a biascorrected predictor. We examine the cases where the new bias-corrected predictors can also improve over the naive predictor in terms of mean square error (MSE).

Noriah M. Al-Kandari, Partha Lahiri

Statistics in Transition New Series, Volume 17 , ISSUE 3, 429–447

Sampling Methods | 26-May-2018

IMPROVED ROTATION PATTERNS USING TWO AUXILIARY VARIABLES IN SUCCESSIVE SAMPLING

has been studied and compared with the sample mean estimator, when there is no matching from the previous occasion and natural successive sampling estimator, which is a linear combination of the means of the matched and unmatched portions of the sample at the current (second) occasion.  Optimal replacement strategy is also discussed. The concluding remarks are discussed justifying utility of the proposed sampling scheme. The results have been well supported analytically as well as empirically

Jaishree Prabha Karna, Dilip Chandra Nath

Statistics in Transition New Series, Volume 19 , ISSUE 1, 25–44

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