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Advances in Estimation of Sensitive Issues on Successive Occasions

open access: yesStatistica, 2020
Surveys related to sensitive issues are accompanied with social desirability response bias which flaw the validity of analysis. This problem became serious when sensitive issues are estimated on successive occasions.
Kumari Priyanka, Pidugu Trisandhya
doaj   +1 more source

An improved family of estimators for estimating population mean using a transformed auxiliary variable under double sampling [PDF]

open access: yesSongklanakarin Journal of Science and Technology (SJST), 2023
The performance of a population mean estimator can be improved by transformation techniques using a subset of the population data. An improved family of estimators for population mean has been proposed under double sampling using a transformed ...
Nuanpan Lawson
doaj  

A new population mean estimator under non-response cases

open access: yesJournal of Taibah University for Science, 2022
Using the information in x, we consider a new estimator that uses an exponential function to estimate the unknown population mean of y in the case of non-responding units. These cases are divided into two categories as Case I and Case II.
Ceren Unal, Cem Kadilar
doaj   +1 more source

Generalized Neutrosophic Sampling Strategy for Elevated estimation of Population Mean [PDF]

open access: yesNeutrosophic Sets and Systems, 2023
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 parameter under discussion.
Subhash Kumar Yadav   +1 more
doaj   +1 more source

Two-exponential estimators for estimating population mean

open access: yesAIMS Mathematics, 2021
We introduce two-exponential shrinkage estimator using two stage two phase sampling for estimating population mean of study variable. Some properties of the proposed two-exponential shrinkage estimator are presented.
Riffat Jabeen   +3 more
doaj   +1 more source

Neutrosophic robust ratio type estimator for estimating finite population mean. [PDF]

open access: yesHeliyon
Various authors have put their sincere efforts into proposing ratio estimators for estimating the population's mean and variance under different situations and sampling methods.
Alqudah MA, Zayed M, Subzar M, Wani SA.
europepmc   +2 more sources

Improved neutrosophic exponential-ratio estimator of population mean with simple random sampling [PDF]

open access: yesNeutrosophic Sets and Systems
In this paper we present a neutrosophic exponential-ratio estimator for calculating the population mean using simple random sampling. In sampling methods classical statistics always depends on exact and complete data, but when we are dealing with unclear
Bhatt Ravi Jitendrakumar   +2 more
doaj   +1 more source

Difference-Cum-Exponential-type estimators for estimation of finite population mean in survey sampling. [PDF]

open access: yesPLoS One
Extensive research work has been done for the estimation of population mean using bivariate auxiliary information based on conventional measures. Conventional measures of the auxiliary variables provide suspicious results in the presence of outliers ...
Javed M   +4 more
europepmc   +3 more sources

An Unbiased Estimator of Finite Population Mean Using Auxiliary Information

open access: yesJournal of Statistical Theory and Applications (JSTA), 2021
In this paper, an unbiased estimator is constructed by using a linear combination of an estimator of study variable and mean per unit estimator of an auxiliary variable under simple random sampling without replacement scheme.
B. Mahanty, G. Mishra
doaj   +1 more source

Application of Randomized Response Techniques Using Dichotomous Response for Mean Wage in Czechia and Slovakia [PDF]

open access: yesStatistika: Statistics and Economy Journal
Research of controversial topics (drug consumption, corruption) requires reliable estimates of population means of sensitive variables (spending on drugs, illegal sources of income). To avoid non-response and fabricated responses surveys using randomized
Ondřej Vozár, Luboš Marek
doaj   +1 more source

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