Search Results - subject:"Cluster Sampling"

Variance estimation in stratified adaptive cluster sampling

Yasmeen, Uzma; Noor-ul-Amin, Muhammad; Hanif, Muhammad - In: Statistics in Transition new series (SiTns) 23 (2022) 1, pp. 173-184

precision in the estimation of population density. Adaptive cluster sampling (ACS) was proposed to observe rare units with the … variance with the use of information of an auxiliary variable under stratified adaptive cluster sampling (SACS). The bias and …

Persistent link: https://www.econbiz.de/10013444126

Two-stage cluster sampling with unequal probability sampling in the first stage and ranked set sampling in the second stage

Ugwu, Michael C.; Madukaife, Mbanefo S. - In: Statistics in Transition new series (SiTns) 23 (2022) 3, pp. 199-214

In this research work we introduce a new sampling design, namely a two-stage cluster sampling, where probability … of the new sampling design to the two-stage cluster sampling with simple random sampling in the first stage and ranked …

Persistent link: https://www.econbiz.de/10013444154

Variance estimation in stratified adaptive cluster sampling

Yasmeen, Uzma; Ul Amin, Muhammad Noor; Hanif, Muhammad - In: Statistics in transition : an international journal of … 23 (2022) 1, pp. 173-184

Persistent link: https://www.econbiz.de/10013419411

Two-stage cluster sampling with unequal probability sampling in the first stage and ranked set sampling in the second stage

Ugwu, Michael C.; Madukaife, Mbanefo S. - In: Statistics in transition : an international journal of … 23 (2022) 3, pp. 199-214

Persistent link: https://www.econbiz.de/10013428875

Generating and validating cluster sampling matrices for model-free factor screening

Shi, Wen; Chen, Ao; Xie, Xiang - In: European journal of operational research : EJOR 313 (2024) 1, pp. 241-257

Persistent link: https://www.econbiz.de/10014456556

Planning domain sizes in cluster sampling

Zins, Stefan; Burgard, Jan Pablo - 2020

Multi-stage cluster sampling is a common sampling design of social surveys because populations of interest are often … structured by, or partitioned into, disjoint organizational and administrative units. The need to use cluster sampling can …

Persistent link: https://www.econbiz.de/10012651837

Planning domain sizes in cluster sampling

Zins, Stefan; Burgard, Jan Pablo - 2020

Persistent link: https://www.econbiz.de/10012294766

Understanding the context for agriculture for nutrition research: Identifying country typologies of child-stunting determinants:

Maruyama, Eduardo; Unnevehr, Laurian J.; Wang, Jiarui - International Food Policy Research Institute (IFPRI) - 2014

We use data from 52 countries on child stunting, poverty, determinants of food security, environmental health, and quality of maternal and child care to carry out a cluster analysis of country typologies. The purpose is to identify where agriculture-led interventions might address binding...

Persistent link: https://www.econbiz.de/10010886777

Understanding and Teaching Within-Cluster Correlation in Complex Surveys

Barreto, Humberto; Raghav, Manu - Department of Economics and Management, DePauw University - 2013

This econometrics pedagogy paper demonstrates the importance of using cluster standard errors with data generated from complex surveys. Simulation is used to show that both classic ordinary least squares and robust standard errors perform poorly in the presence of within-cluster correlated...

Persistent link: https://www.econbiz.de/10010701004

An introduction to understanding and teaching within-cluster correlation in complex surveys

Barreto, Humberto; Raghav, Manu - In: Eastern economic journal 43 (2017) 4, pp. 727-728

Persistent link: https://www.econbiz.de/10012244036