Sampling-based estimation of set-valued reliability
Estimation of Stress-Strength Reliability For Weibull Distribution Based on Type-II Right Censored Ranked Set Sampling Data
... random sampling (SRS) data. However, in many life-testing and reliability studies, complete information may not always be obtained on failure times of experimental ...the estimation of 𝑅 have been ...
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Kernel-based estimation of P(X >Y) in ranked set sampling
... ranked set sample with set size 5 and cycle size 10, from each ...each set is based on the visual appearance of the spray deposits on the leaf surfaces when viewed under ultraviolet ...
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Weibull Bayesian Estimation Based on Maximum Ranked Set Sampling with Unequal Samples
... Bayesian Estimation, Loss Function, MRSSU, SRS, RSS ...a sampling scheme called ranked-set sampling (RSS) which can be employed to gain more information than simple random sampling ...
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Estimation of Gini-index from continuous distribution based on ranked set sampling
... The available information about the distributions is usually discrete; however, we are interested in this article in continuous distributions; noting that both cases can be unified. The remainder of this paper is ...
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ESTIMATION OF POPULATION MEAN USING RANKED SET SAMPLING
... rank set ratio estimator by Samawi and Muttlak ...ranked set sampling (RSS) is a cost efficient alternative to simple random sampling (SRS) for those situations where measurements are ...
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Estimation of Gumbel Parameters under Ranked Set Sampling
... (ranked set sample) and the MOMEs (method of moment estimators) and REGs (regression estimators) based on ...MLE based on RSS can be a robust competitor to the MLE based on ...
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Goodness-of-fit testing for the inverse Gaussian distribution based on new entropy estimation using ranked set sampling and double ranked set sampling
... studied based on new entropy estimation using simple random sampling (SRS), ranked set sampling (RSS) and double ranked set sampling (DRSS) ...tests based on ...
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Estimation of using Modifications of Ranked Set Sampling for Weibull Distribution
... the set sizes (𝑚 𝑥 , 𝑚 𝑦 ) are small the ML estimators are more efficient than the MML estimators as ..., based on ERSS, MRSS and PRSS, where 𝑋 and 𝑌 are independent Weibull random ...counterparts ...
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Estimation of the Population Mean Using Paired Ranked Set Sampling
... peated r times to obtain a sample of size n = rm. These chosen elements are called a ranked set sample. Dell and Clutter [3] and Takahasi and Wakimoto [4] provided mathematical foundations for RSS. Dell and ...
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Double Partitioned Ranked Set Sampling: An Efficient Estimation Technique
... Ranked Set Sampling (DRSS) According to DRSS, select m 3 elements from a population and divide these units randomly into m 2 sets eachof size m ...each set to obtain m ranked set samples each ...
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Estimation of Measles Immunization Coverage in Guwahati by Ranked Set Sampling
... systematic sampling, cluster sampling [5] and stratified sampling [6], are based on simple random sampling (SRS) either at one stage or subsequent ...ranked set sampling ...
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Estimation of population mean and median using double robust truncation based ranked set sampling
... estimator based on DRTBRSS is unbiased and more efficient than the estimators based on SRS, RSS and TBRSS for all values of ...median estimation, the proposed sampling design outperforms among ...
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Simulation Based Assessment of Limited Sampling Strategies Reliability in the Estimation of the Area Under the Concentration-Time Curve
... Pop-PK based empirical Bayesian ...of sampling time deviation on the prediction performance of LSS ...are based on the use of a unique dataset, which is generally split into two parts: one for ...
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On the population median estimation using quartile double ranked set sampling
... ranked set sampling (QDRSS) method is considered for estimating the population ...median based on QDRSS is suggested as an estimator of the population ...random sampling (SRS), ranked ...
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Estimation of the Parameters of the New Weibull-Pareto Distribution Using Ranked Set Sampling
... modifications. Since solutions of these estimators have no closed forms, the new ob- tained estimators are compared via a simulation study with the conventional estimators obtained by SRS. Two criteria are used for ...
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Estimation for the Parameters of the Exponentiated Exponential Distribution Using a Median Ranked Set Sampling
... likelihood estimation based on Median Ranked Set Sampling (MRSS) was used to estimate the shape and scale parameters of the Exponentiated Exponential Distribution ...
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Compressive sampling based CFO estimation with exploited features
... Furthermore, based on the EMV features, the MFB-CoSaMP is proposed to boost the support set mergence, improve the reconstruction accuracy, reduce the computational complexity, and hold the improvement ...
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Learning Sampling-Based 6D Object Pose Estimation
... To gather the training data for our random forest we rendered RGB-D images of each model. We sampled the full view sphere of the model regularly with fixed dis- tance and including in-plane rotation. For the background ...
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Bayes Estimation of the Mean of Normal Distribution Using Moving Extreme Ranked Set Sampling
... In this paper, Bayesian estimator of the population mean of normal distribution is considered and compared with estimators based on simple random sampling. The remaining part of this paper is organized as ...
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Estimation of the Mean of the Exponential Distribution Using Maximum Ranked Set Sampling with Unequal Samples
... We repeat this procedure for 10,000 times. The estimate for θ is the average of the estimates from these replications, and variance of the estimate is the sample variance. Similarly using 10,000 simulated samples the RSS ...
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