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Another Data Set to Practice
A key feature of the book is the application of the methods discussed to a data set. Hence, easily another data set could be used. To illustrate...
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Estimation of distribution function using L ranked set sampling and robust extreme ranked set sampling with application to reliability
This paper suggests new estimators for cumulative distribution function (CDF) using L ranked set sampling (LRSS) and robust extreme ranked set...
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A delineation of new classes of exponential dispersion models supported on the set of nonnegative integers
The aim of this paper is to delineate a set of new classes of natural exponential families and their associated exponential dispersion models whose...
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Extropy Properties of Ranked Set Sample for Cambanis Type Bivariate Distributions
In this paper, the extropy of concomitants of order statistics and its properties when samples from Cambanis Type Bivariate Distributions is...
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Quantile Estimation in Modified Ranked Set Sampling Methods
It is formally shown that ranked set sampling (RSS) and its variations produce estimators enjoying with many interesting properties. Although the...
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Nonparametric maximum likelihood estimation of the distribution function using ranked-set sampling
Kvam and Samaniego (J Am Stat Assoc 89: 526–537, 1994) derived an estimator that they billed as the nonparametric maximum likelihood estimator (MLE)...
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The New Sub-regression Type Estimator in Ranked Set Sampling
In this study, a new sub-regression type estimator for ranked set sampling (RSS) is proposed based on the idea of a sub-ratio estimator given in...
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A Class of Ratio and Product Types Estimators of Mean of a Sensitive Variable Using Ranked Set Sampling
In this paper, we introduce a novel ranked set generalized randomized response estimator designed for accurately estimating the mean of sensitive...
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Active-set based block coordinate descent algorithm in group LASSO for self-exciting threshold autoregressive model
Group LASSO (gLASSO) estimator has been recently proposed to estimate thresholds for the self-exciting threshold autoregressive model, and a group...
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A Modified Bayesian Optimization Approach for Determining a Training Set to Identify the Best Genotypes from a Candidate Population in Genomic Selection
Training set optimization is a crucial factor affecting the probability of success for plant breeding programs using genomic selection....
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A new active zero set descent algorithm for least absolute deviation with generalized LASSO penalty
A new active zero set descent algorithm is proposed for least absolute deviation (LAD) problems with generalized LASSO penalty. Zero set contains the...
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A review on concomitants of order statistics and its application in parameter estimation under ranked set sampling
The concomitants of order statistics (COS) is a variable associated with a bivariate sample when ordered with respect to the other variable. The...
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An Efficient CDF Estimator Based on Dual-Rank Ranked Set Sampling with an Application to Body Mass Index Data
The dual-rank ranked set sampling (DRRSS) technique is recently proposed for estimating the population mean. The DRRSS-based estimator is verified to...
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Estimation of Population Mean Using Exponential Ratio and Product Type Estimators Under Ranked Set Sampling in Presence of Measurement Error
Measurement errors may significantly impact the accuracy of estimates in sample surveys. Even a small presence of such errors may raise doubts among...
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Inference of Competing Risks Model with Partially Observed Failure Causes Based on Minimum Ranked Set Sampling
Ranked set sampling (RSS) provides an efficient and flexible approach to collect failure information from perspectives of saving time and cost. In...
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Clustering and estimation of finite mixture models under bivariate ranked set sampling with application to a breast cancer study
In the literature on modeling heterogeneous data via mixture models, it is generally assumed that the samples are drawn from the underlying...
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Tree based credible set estimation
Estimating a joint Highest Posterior Density credible set for a multivariate posterior density is challenging as dimension gets larger. Credible...
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New insights on goodness-of-fit tests for ranked set samples
Ranked set sampling (RSS) utilizes auxiliary information on the variable of interest so as to assist the experimenter in acquiring an informative...
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How many data clusters are in the Galaxy data set?
In model-based clustering, the Galaxy data set is often used as a benchmark data set to study the performance of different modeling approaches....
