[HTML][HTML] A simulation study: Using dual ancillary variable to estimate population mean under stratified random sampling
In this paper, we propose an improved ratio-in-regression type estimator for the finite
population mean under stratified random sampling, by using the ancillary varaible as well as …
population mean under stratified random sampling, by using the ancillary varaible as well as …
Dynamic Distributed and Parallel Machine Learning algorithms for big data mining processing
L Djafri - Data Technologies and Applications, 2022 - emerald.com
Purpose This work can be used as a building block in other settings such as GPU, Map-
Reduce, Spark or any other. Also, DDPML can be deployed on other distributed systems …
Reduce, Spark or any other. Also, DDPML can be deployed on other distributed systems …
Heuristical Approach for Optimizing Population Mean Using Ratio Estimator in Stratified Random Sampling
GRV Triveni, F Danish - Journal of Reliability and …, 2023 - journals.riverpublishers.com
In this study, we have developed a Ratio type estimator in Stratified sampling to estimate the
population average of study variable by using the information of a concomitant variable. By …
population average of study variable by using the information of a concomitant variable. By …
[HTML][HTML] Improved novel estimation for estimation of population distribution function using auxiliary information under stratified sampling strategy
The distribution function (DF) is a determinant functional parameter in many academic
disciplines that use probability tools for data analysis, such as economics and medicine …
disciplines that use probability tools for data analysis, such as economics and medicine …
Development of novel separate ratio estimator in stratified random sampling with applications on real data
GRV Triveni, F Danish - International Journal of Applied …, 2024 - inderscienceonline.com
In this study, we have developed an improved separate ratio estimator using the highly
related variable for the estimation of population average of study variable under stratified …
related variable for the estimation of population average of study variable under stratified …
Efficient Classes of Estimators of Population Mean under Various Allocation Schemes in Stratified Random Sampling
M Kumar, GK Vishwakarma - Asian Journal of Probability and …, 2023 - asian.go4publish.com
The present paper is an extension of the work published in Kumar and Vishwakarma
(Proceedings of the National Academy of Sciences, India, Section A: Physical Sciences, 90 …
(Proceedings of the National Academy of Sciences, India, Section A: Physical Sciences, 90 …
An Improved Product Estimator for Finite Population Mean in the Presence of Nonignorable Nonresponse
ABA Rahaman, J Dioggban… - Asian Journal of …, 2024 - research.manuscritpub.com
The existence of non-linear relationship between study and auxiliary variable may show a
false positive or negative correlation between them. This challenge coupled with …
false positive or negative correlation between them. This challenge coupled with …
[PDF][PDF] Evaluation of the human development index (HDI) using the methods of sample theory
M Antonijević, Đ Ivanović - International Journal of Economic …, 2021 - ebooks.ien.bg.ac.rs
This paper aims to determine which of the two sample plans, ie, a simple random sample
without replacement, or a stratified sample, gives a more accurate estimate of the feature's …
without replacement, or a stratified sample, gives a more accurate estimate of the feature's …
[HTML][HTML] 3 Estimators in Literature
GRV Triveni, F Danish - journals.riverpublishers.com
Heuristical Approach for Optimizing Population Mean Using Ratio Estimator in Stratified
Random Sampling GRV Triveni and Faizan Danish * Department of Mathematics, School of …
Random Sampling GRV Triveni and Faizan Danish * Department of Mathematics, School of …
OCENA INDEKSA LJUDSKOG RAZVOJA (HDI INDEX) PRIMENOM METODA TEORIJE UZORAKA
M Antonijević, Đ Ivanović - International Journal of Economic …, 2021 - aseestant.ceon.rs
Sažetak Cilj ovog rada je da se utvrdi koji od dva plana uzorkovanja daje tačniju procenu
srednje vrednosti nekog obeležja-jednostavan slučajni uzorak bez zamene ili stratifikovani …
srednje vrednosti nekog obeležja-jednostavan slučajni uzorak bez zamene ili stratifikovani …