This monograph is the first book-length exposition of ranked set sampling. But, the subject
matter is by no means new. The original notion of ranked set sampling, though not the …

In this manuscript, we propose the combined and separate difference and ratio type
estimators of population mean using stratified ranked set sampling. Additionally, several well …

In the sample survey theory, the crux of survey practitioners is to provide “accurate”
estimators of the parameter of choice. The conventional theory depends on the …

This article examines a real-time parking reservation service that dynamically allocates a
limited number of parking slots (which can be reused) to serve parking requests in a …

The aim of present study is to propose ratio estimators for the population mean using
auxiliary information efficiently under stratified random sampling (SRS) and stratified ranked …

Stratified Ranked Set Sampling (SRSS) combines the advantages of stratification and
Ranked set sampling (RSS) to obtain an unbiased estimator for the population mean, with …

The digital economy has greatly impacted the traditional parking industry. This study focuses
on a real-time parking reservation system that allocates available parking slots (supplies) to …

Ratio estimation method is used to obtain a new estimator with higher precision for
estimating the population mean or total. There are two methods for estimating ratios when …

Estimation of the parameters of Weibull distribution is considered using different methods of
estimation based on different sampling schemes namely, Simple Random Sample (SRS) …

Stratified pair ranked set sampling is introduced and applied in estimating the population
mean. Mathematical properties of the suggested estimator are treated. The estimator and its …