Modified Class of Estimators Using Ranked Set Sampling

The present article discusses the issue of population mean estimation in the ranked set sampling framework. A modified class of estimators is proffered and compared in the aspect of its efficacious performance with all salient conventional estimators existing to date. Some well-known existing estimators under RSS are recognized as the members of the proffered estimators for appropriately chosen characterizing scalars. The ascendancy of the proposed class of estimators regarding the conventional estimators has been shown through an extensive computational study utilizing some natural and artificially generated populations

Modified Class of Estimators Using Ranked Set Sampling

The present article discusses the issue of population mean estimation in the ranked set sampling framework. A modified class of estimators is proffered and compared in the aspect of its efficacious performance with all salient conventional estimators existing to date. Some well-known existing estimators under RSS are recognized as the members of the proffered estimators for appropriately chosen characterizing scalars. The ascendancy of the proposed class of estimators regarding the conventional estimators has been shown through an extensive computational study utilizing some natural and artificially generated populations

Weighted power Maxwell distribution: Statistical inference and COVID-19 applications.

During the course of this research, we came up with a brand new distribution that is superior; we then presented and analysed the mathematical properties of this distribution; finally, we assessed its fuzzy reliability function. Because the novel distribution provides a number of advantages, like the reality that its cumulative distribution function and probability density function both have a closed form, it is very useful in a wide range of disciplines that are related to data science. One of these fields is machine learning, which is a sub field of data science. We used both traditional methods and Bayesian methodologies in order to generate a large number of different estimates. A test setup might have been carried out to assess the effectiveness of both the classical and the Bayesian estimators. At last, three different sets of Covid-19 death analysis were done so that the effectiveness of the new model could be demonstrated

Data analysis results for first real data.

Data analysis results for first real data.</p

Data analysis results for second real data.

Data analysis results for second real data.</p

Fitted and empirical CDF plots for third real data.

Fitted and empirical CDF plots for third real data.</p

Plots of the mean, variance, skewness, and kurtosis of the HTLL model with <i>β</i> = 2.

Plots of the mean, variance, skewness, and kurtosis of the HTLL model with β = 2.</p

Bayesian ad Non-Bayesian estimation for parameters of WPM distribution:D.

Bayesian ad Non-Bayesian estimation for parameters of WPM distribution:D.</p

Bayesian ad non-Bayesian estimation for parameters of WPM distribution:B.

Bayesian ad non-Bayesian estimation for parameters of WPM distribution:B.</p

Plots of WPM PDF for different parametric values.

Plots of WPM PDF for different parametric values.</p