Results 231 to 240 of about 660,441 (286)

A poisson-gamma model for two-stage cluster sampling data

Journal of Statistical Computation and Simulation, 2001
We propose a model for count data from two-stage cluster sampling, where observations within each cluster are subjected simultaneously to internal influences and external factors at the cluster level. This model can be seen as a two-stage hierarchical model with local and global predictors. This parameter-driven model causes the counts within a cluster
Pedro. Geoffroy, Govinda. Weerakkody
exaly   +2 more sources

Regression analysis for exponential family data in a finite population setup using two-stage cluster sample

Annals of the Institute of Statistical Mathematics, 2022
Sutradhar Brajendra C
exaly   +2 more sources

The Prediction Approach to Robust Variance Estimation in Two-Stage Cluster Sampling

Journal of the American Statistical Association, 1986
Abstract Robust statistics are derived for estimating the error variance when a finite population total or a ratio of totals is estimated from a two-stage cluster sample in which the first-stage sampling fraction is small. The analysis is based on prediction (superpopulation) models that allow for very general correlation structure within clusters ...
R. Royall
openaire   +2 more sources

Two-stage informative cluster sampling—estimation and prediction with applications for small-area models

Journal of Statistical Planning and Inference, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Eideh, Abdulhakeem, Nathan, Gad
openaire   +3 more sources

Blurring cluster randomized trials and observational studies: Two-Stage TMLE for subsampling, missingness, and few independent units.

Biostatistics, 2022
Cluster randomized trials (CRTs) often enroll large numbers of participants; yet due to resource constraints, only a subset of participants may be selected for outcome assessment, and those sampled may not be representative of all cluster members ...
Joshua R Nugent, C. Marquez, E. Charlebois, Rachel Abbott, L. Balzer   +4 more
semanticscholar   +1 more source

Consumption of fresh Iberian pork: Two-stage cluster for the identification of segments of consumers according to their habits and lifestyles.

Meat Science, 2020
This study investigates the behaviour of consumers regarding four cuts of Iberian meat with greater presence in the market: tenderloin, secreto, presa and pluma.
A. Ortiz, C. Díaz‐Caro, D. Tejerina, M. Escribano, Eva Crespo, P. Gaspar   +5 more
semanticscholar   +1 more source

Cluster subtypes within stage of change in a representative sample of smokers

Addictive Behaviors, 2000
Gregory J Norman, Wayne F Velicer, Joseph L Fava   +2 more
exaly   +2 more sources

Two-Stage Adaptive Cluster Sampling

2021
Adaptive sampling is a method in which selection of units at any stage of sampling depends upon the information collected from the already selected units in the initial sample. It means, if one finds what he/she is looking for at a particular location then he/she would sample in the vicinity of that location with the hope of obtaining more information.
Raosaheb Latpate, Jayant Kshirsagar, Vinod Kumar Gupta, Girish Chandra   +3 more
openaire   +1 more source

Two-Stage Inverse Adaptive Cluster Sampling

2021
It is well known that if the population under study is homogeneous then one can assign equal probability of selection to the units in the population and can estimate the population parameters using the selected sample. But if the population has clumps in it then the equiprobable assignment may lead to poor estimates of the population parameters.
Raosaheb Latpate, Jayant Kshirsagar, Vinod Kumar Gupta, Girish Chandra   +3 more
openaire   +1 more source

Double Sampling for Cluster- or Two-Stage Sampling

International Statistical Review / Revue Internationale de Statistique, 1972
Survey sampling literature describes several methods of using certain auxiliary information to attain more efficient sampling and estimation procedures. If the required information is not available in advance for the entire population, it might be advantageous to collect certain items for a larger, preliminary sample and then use this to improve on the
openaire   +1 more source