[책][B] Generalized neutrosophic sampling strategy for elevated estimation of population mean
SK Yadav, F Smarandache - 2023 - books.google.com
One of the disadvantages of the point estimate in survey sampling is that it fluctuates from
sample to sample due to sampling error, as the estimator only provides a point value for the …
sample to sample due to sampling error, as the estimator only provides a point value for the …
A simulation study: Improved ratio-in-regression type variance estimator based on dual use of auxiliary variable under simple random sampling
In this article, we proposed an improved finite population variance estimator based on
simple random sampling using dual auxiliary information. Mathematical expressions of the …
simple random sampling using dual auxiliary information. Mathematical expressions of the …
[HTML][HTML] Constructing a new estimator for estimating population mean utilizing auxiliary information in probability proportional to size sampling
In some instances, the size of the target population might exhibit significant variation. In the
medical investigation, the number of individuals troubled with a certain infection and the …
medical investigation, the number of individuals troubled with a certain infection and the …
Minimum Covariance Determinant‐Based Quantile Robust Regression‐Type Estimators for Mean Parameter
Robust regression tools are commonly used to develop regression‐type ratio estimators with
traditional measures of location whenever data are contaminated with outliers. Recently, the …
traditional measures of location whenever data are contaminated with outliers. Recently, the …
New efficient class of estimators of population mean using two-phase sampling
This manuscript proffers a new efficient class of estimators for population mean in two-phase
sampling using the known population proportion. The usual mean estimator, classical ratio …
sampling using the known population proportion. The usual mean estimator, classical ratio …
Impact assessment of correlated measurement errors using logarithmic-type estimators
In survey sampling, several estimation procedures have been proffered by various
prominent authors to compute the impact of measurement errors (ME) but the impact of …
prominent authors to compute the impact of measurement errors (ME) but the impact of …
Combination of memory type ratio and product estimators under extended EWMA statistic with application to wheat production
The extended exponential weighted moving average (EEWMA) statistic is a memory type
statistic that uses past observations along with the current information for the estimation of a …
statistic that uses past observations along with the current information for the estimation of a …
Exploring mixture estimators in stratified random sampling
Advancements in sensor technology have brought a revolution in data generation.
Therefore, the study variable and several linearly related auxiliary variables are recorded …
Therefore, the study variable and several linearly related auxiliary variables are recorded …
[PDF][PDF] On The Efficiency of Almost Unbiased Mean Imputation When Population Mean of Auxiliary Variable is Unknown
Human-assisted surveys, such as medical and social science surveys, are frequently
plagued by non-response or missing observations. Several authors have devised different …
plagued by non-response or missing observations. Several authors have devised different …
A Novel Sub-Type Mean Estimator for Ranked Set Sampling with Dual Auxiliary Variables
EG Koçyiğit - Journal of New Theory, 2023 - dergipark.org.tr
This research introduces a novel sub-estimator designed to estimate the population mean
under ranked set sampling, motivated by the new concept of a recently introduced sub-ratio …
under ranked set sampling, motivated by the new concept of a recently introduced sub-ratio …