Bayesian Analysis of Finite Populations under Simple Random Sampling [PDF]
Entropy, 2021 Statistical methods to produce inferences based on samples from finite populations have been available for at least 70 years. Topics such as Survey Sampling and Sampling Theory have become part of the mainstream of the statistical methodology.
Manuel Mendoza +2 more
doaj +2 more sources
Simple-Random-Sampling-Based Multiclass Text Classification Algorithm [PDF]
The Scientific World Journal, 2014 Multiclass text classification (MTC) is a challenging issue and the corresponding MTC algorithms can be used in many applications. The space-time overhead of the algorithms must be concerned about the era of big data.
Wuying Liu, Lin Wang, Mianzhu Yi
doaj +2 more sources
Evaluating the performance of memory type logarithmic estimators using simple random sampling [PDF]
PLoS ONE, 2022 In survey research, various types of estimators have been suggested that consider only the current sample information to compute the unknown population parameters.
Shashi Bhushan +4 more
doaj +2 more sources
Axioms, 2022 In this paper, we have considered that ranked set sampling is able to estimate the parameters of exponentiated Pareto distribution. The method with which the maximum likelihood estimators for the parameters of exponentiated Pareto distribution is studied
Hossein Jabbari Khamnei +4 more
doaj +3 more sources
The Nature of Simple Random Sampling
Annals of Statistics, 1984 As an estimator of the population mean, the sample mean based only on the distinct units possesses a remarkable invariance property. Under three forms of simple random sampling, viz. simple random sampling without replacement (SRSWOR), simple random sampling with replacement (SRSWR), and fixed cost simple random sampling (SRSFC), it is admissible and ...
P K Pathak
exaly +3 more sources
Estimation of population median using bivariate auxiliary information in simple random sampling [PDF]
HeliyonTo estimate the unknown population median, several researchers have developed efficient estimators but these estimators are unable to provide efficient results in the existence of outliers.
Muhammad Ali Hussain +6 more
doaj +2 more sources
New adjusted missing value imputation in multiple regression with simple random sampling and rank set sampling methods. [PDF]
PLoS ONEThis research compared the efficiency of several adjusted missing value imputation methods in multiple regression analysis. The four imputation methods were the following: regression-ratio quartile1,3 (R-RQ1,3) imputation of Al-Omari, Jemain and Ibrahim;
Juthaphorn Sinsomboonthong +1 more
doaj +2 more sources
Improvement in variance estimation using transformed auxiliary variable under simple random sampling [PDF]
Scientific ReportsThis paper offers a novel approach to formulate efficient ratio estimator of the population variance using a transformed auxiliary variable. The impact of transformation on auxiliary information has also been discussed.
Hameed Ali +4 more
doaj +2 more sources
A statistical framework for a new Kavya-Manoharan Bilal distribution using ranked set sampling and simple random sampling [PDF]
HeliyonIn survival and stochastic lifespan modeling, numerous families of distributions are sometimes considered unnatural, unjustifiable theoretically, and occasionally superfluous.
Anum Shafiq +4 more
doaj +2 more sources
Memory type general class of estimators for population variance under simple random sampling [PDF]
HeliyonWith 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 term ‘memory-type’ pertaining to the use of exponentially weighted moving
Anoop Kumar +3 more
doaj +2 more sources