Results 271 to 280 of about 160,344 (293)

Doubly Weighted Estimation Approach for Linear Regression Analysis with Two-stage Cluster Samples

Sankhya B, 2023
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Two-stage clustering based effective sample selection for classification of pre-miRNAs

2010 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2010
To solve the class imbalance problem in classification of pre-miRNAs with ab initio method, a novel sample selection method is proposed according to the characteristics of pre-miRNAs. Real/pseudo pre-miRNAs are clustered based on their stem similarity and their distribution in high dimensional sample space respectively.
Ping Xuan, Maozu Guo 0001, Lei-lei Shi, Jun Wang 0035, Xiaoyan Liu, Wenbin Li, Yingpeng Han   +6 more
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Validity of a two-stage cluster sampling design to estimate the total number of owned dogs

Preventive Veterinary Medicine, 2018
Estimates of owned dog population size are necessary to calculate measures of disease frequency and to plan and evaluate population management programs. We calculated the error and bias of estimates of the total number of owned dogs using a two-stage cluster sampling design.
Oswaldo Santos, Baquero, Marcos, Amaku, Ricardo Augusto, Dias, José Henrique Hildebrand, Grisi Filho, José Soares, Ferreira Neto, Fernando, Ferreira   +5 more
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Two-stage informative cluster sampling—estimation and prediction with applications for small-area models

Journal of Statistical Planning and Inference, 2009
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Eideh, Abdulhakeem, Nathan, Gad
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Two-stage cluster sampling with hybrid ranked set sampling in the secondary sampling frame

Communications in Statistics - Theory and Methods, 2017
ABSTRACTIn surveys of natural resources in agriculture, ecology, fisheries, forestry, environmental management, etc., cost-effective sampling methods are of major concern. In this paper, we propose a two-stage cluster sampling (TSCS) in integration with the hybrid ranked set sampling (HRSS)—named TSCS-HRSS—in the second stage of sampling for estimating
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Two stage restricted adaptive cluster sampling

2005
In numerosi fenomeni ambientali la variabile d’interesse presenta valori trascurabili o addirittura nulli nella maggior parte delle unità della popolazione mentre le unità con valori elevati sono rare e mostrano nel contempo tendenze aggregative. Un disegno di campionamento appropriato in tali situazioni è il campionamento adattivo di Thompson.
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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 ...
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Two-stage cluster random sampling

2022
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Two-Stage Negative Adaptive Cluster Sampling

2021
Raosaheb Latpate, Jayant Kshirsagar, Vinod Kumar Gupta, Girish Chandra   +3 more
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Regression Estimators for Cluster Sampling and Two-Stage Sampling

1992
Carl-Erik Särndal, Bengt Swensson, Jan Wretman   +2 more
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