set sampling
Regression Estimators in Ranked Set, Median Ranked Set and Neoteric Ranked Set Sampling
... ranked set and neoteric ranked set sampling using one and two auxiliary ...ranked set sampling (RSS) ...data set example is also used. In this data set, we have examined a ...
6
Improvement Over General And Wider Class Of Estimators Using Ranked Set Sampling
... Ranked set sampling was first suggested by McIntyre (1952) to increase the efficiency of estimator of population mean. Kadilar et al. (2009) used this technique to improve ratio estimator given by Prasad ...
5
Weibull Bayesian Estimation Based on Maximum Ranked Set Sampling with Unequal Samples
... ranked set sampling method for estimating the parameters of normal, expo- nential and gamma ...ranked set sampling method to find the estimates of the population ...ranked set ...
10
Rank Set Sampling in Improving the Estimates of Simple Regression Model
... Rank set sampling (RSS) by Halls and Dell ...the sampling scheme, where, each time a random sample of k pasture lots is taken and the lots are ranked by eye inspection with respect to the amount of ...
11
Estimation of using Modifications of Ranked Set Sampling for Weibull Distribution
... In the context of reliability, making statistical inferences concerning 𝑅 = 𝑃(𝑋 < 𝑌) has received considerable attention in the literature. In this sense, 𝑌 represents the strength of a system which is subject to ...
28
Estimation of the Population Mean Using Paired Ranked Set Sampling
... the sampling units in a study can be easily ranked than quantified, the ranked set sampling methods are found to be more efficient and cost effective as compared to ...ranked set ...
7
An Efficient Class of Estimators for the Finite Population Mean in Ranked Set Sampling
... 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 ...
10
Different goodness of fit tests for Rayleigh distribution in ranked set sampling
... McIntyre (1952) was the first who suggested the ranked set sampling design for estimating the population mean. The RSS involves randomly selecting k 2 units from the population. These units are randomly ...
15
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 square ...
5
Inferences on a Scale Parameter of Bivariate Rayleigh Distribution by Ranked Set Sampling
... In this paper, we obtain several estimators of a scale parameter of Morgenstern type bivariate Rayleigh distribution based on the observations made on the units of the ranked set sampling regarding the ...
16
Partitioned Ranked Set Sampling: Introduction to a New Efficient Estimation Technique
... Contributing the technique of Ranked set Sampling to the sample survey method, McIntyre(1952) proposed an unbiased estimator having lesser variance than SRS for population mean. Muttalak (2003) proposed a ...
10
Goodness-of-fit testing for the inverse Gaussian distribution based on new entropy estimation using ranked set sampling and double ranked set sampling
... Results: Goodness-of-fit test for the inverse Gaussian distribution is studied based on new entropy estimation using simple random sampling (SRS), ranked set sampling (RSS) and double ranked ...
10
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 ...ranked set sampling design for estimating population ...ranked set sampling ...
16
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 or ...
13
Manipulation-based ranked set sampling scheme
... efficient sampling methods are of main concern in many social, biological and environmental ...efficient sampling scheme, named manipulation-based ranked set sampling (MBRSS) scheme is ...
24
Estimation of the Parameters of the New Weibull-Pareto Distribution Using Ranked Set Sampling
... 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 are ...
21
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- ...ranked set ...
23
ESTIMATION OF POPULATION MEAN USING RANKED SET SAMPLING
... ranked set sampling (RSS) is a cost efficient alternative to simple random sampling (SRS) for those situations where measurements are difficult or expensive to obtain but (judgement) ranking of units ...
11
Ranked Set Sampling for a Population Proportion:Allocation of Sample Units to Each Judgment Order Statistic
... For additional discussion of the use of RSS with binary data, see Lacayoet al. (2002), Terpstra (2004), Terpstra and Liudahl (2004), Chen et al. (2005, 2007), Terpstra and Nelson (2005), Terpstra and Miller (2006), and ...
20
Active Sampling for Open-Set Classification without Initial Annotation
... label the selected data and merge them with labeled data se- lected previously for the model training. We set three stages until 9 classes are included in the model. Due to the equal number of known data and novel ...
8