Survey sampling commonly faces the challenge of missing information, prompting the
development of various imputation-based mean estimation methods to address this concern …

In survey research, various types of estimators have been suggested that consider only the
current sample information to compute the unknown population parameters. Therefore, we …

This paper offers an improved memory-type ratio estimator in stratified random sampling
under linear and non-linear cost functions. The issue is given as all integer non-linear …

This article examines the issue of population mean estimation utilizing past and present data
in the form of an exponentially weighted moving average (EWMA) statistic under simple …

The exponential weighted moving average (EWMA) statistic is utilized the past information
along with the present to enhance the efficiency of the estimators used for estimating the …

With an emphasis on memory-type approaches, this study presents a class of estimators
specifically designed for estimating population variation in simple random sampling (SRS) …

The exponential weighted moving average (EWMA) statistic is utilized the past information
along with the present to enhance the efficiency of the estimators of the population …

Time-based surveys often experience missing data due to several reasons, like non-
response or data collection limitations. Imputation methods play an essential role in …

In this article, we consider the memory type product estimator to estimate the population
mean of the study variable in stratified random sampling. The suggested estimators' bias …

The primary objective of sample survey is to have an estimate of population parameter. The
more is the available information the better is an estimate. In this study, the Exponentially …