Estimation of population variance using kernel matrix
This study considers the issue of estimating the population variance utilizing trace of kernel
matrix in absence of non-response under simple random sampling scheme. Further …
matrix in absence of non-response under simple random sampling scheme. Further …
Estimation of population variance using known coefficient of variation of an auxiliary variable in sample surveys
HP Singh, SK Pal - Journal of Statistics and Management Systems, 2017 - Taylor & Francis
This paper addresses the problem of estimating the population variance of the study
variable y using information on coefficient of variation Cx of an auxiliary variable x. We have …
variable y using information on coefficient of variation Cx of an auxiliary variable x. We have …
[PDF][PDF] Distribution effect on the efficiency of some classes of population variance estimators using information of an auxiliary variable under simple random sampling
EH Oghenekevwe, EC Njideka… - Science Journal of …, 2020 - academia.edu
In many sampling situations, researchers come across variety of data. These data are
largely affected by the parent distribution. There are characteristics which some data share …
largely affected by the parent distribution. There are characteristics which some data share …
[PDF][PDF] A Generalized Ratio-Type Estimator of Finite Population Variance using Quartiles and their Functions
R Yadav - Journal of Statistics Applications & Probability, 2021 - naturalspublishing.com
In this paper, some ratio-type estimators for finite population variance have been proposed
using known values of the parameters of an auxiliary variable such as quartiles and their …
using known values of the parameters of an auxiliary variable such as quartiles and their …
[PDF][PDF] Recent Advancements in Sampling Theory & its Applications
Sampling is one of the most important statistical techniques used to draw the inference
about the whole population when it is very large and researchers have limited resources in …
about the whole population when it is very large and researchers have limited resources in …