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Investopedia6mon
Sampling: What It Is, Different Types, and How Auditors and Marketers Use It - Investopedia
Rather than sampling every single business and household in the U.S., the BLS relies on samples. The Current Employment Statistics program samples approximately 119,000 businesses and government ...
Scientific Research Publishing1y
Seber, G. and Salehi, M. (2012) Adaptive Cluster Sampling. In: Adaptive Sampling Designs, SpringerBriefs in Statistics, Springer, Berlin, 11-26. - Scientific Research Publishing
KEYWORDS: PPS Adaptive Cluster Sampling, Modified HH Estimation, Modified HT Estimation JOURNAL NAME: Journal of Applied Mathematics and Physics, Vol.12 No.5, May 21, 2024 ABSTRACT: This paper ...
Scientific Research Publishing1y
Dryver, A. and Thompson, S. (2007) Adaptive Sampling without Replacement of Clusters. Statistical Methodology, 4, 35-43. - Scientific Research Publishing
KEYWORDS: PPS Adaptive Cluster Sampling, Modified HH Estimation, Modified HT Estimation JOURNAL NAME: Journal of Applied Mathematics and Physics, Vol.12 No.5, May 21, 2024 ABSTRACT: This paper ...
Cantech Letter1y
What is a cluster sampling? - Cantech Letter
Cluster sampling is a sampling technique used in statistics and research methodology. It involves dividing a population into clusters or groups and randomly selecting some of these clusters for ...
Frontiers4y
Evaluation of the Minimum Sampling Design for Population Genomic and Microsatellite Studies: An Analysis Based on Wild Maize - Frontiers
Sampling design has been studied widely. Nevertheless, the majority of the studies mentioned above (Table 1) were conducted mainly considering microsatellites, and thus focused on fewer loci and ...
IEEE5y
A survey of data partitioning and sampling methods to support big data analysis - IEEE Xplore
Computer clusters with the shared-nothing architecture are the major computing platforms for big data processing and analysis. In cluster computing, data partitioning and sampling are two fundamental ...