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  2. Cluster sampling - Wikipedia

    en.wikipedia.org/wiki/Cluster_sampling

    An example of cluster sampling is area sampling or geographical cluster sampling.Each cluster is a geographical area in an area sampling frame.Because a geographically dispersed population can be expensive to survey, greater economy than simple random sampling can be achieved by grouping several respondents within a local area into a cluster.

  3. Google File System - Wikipedia

    en.wikipedia.org/wiki/Google_File_System

    Google File System (GFS or GoogleFS, not to be confused with the GFS Linux file system) is a proprietary distributed file system developed by Google to provide efficient, reliable access to data using large clusters of commodity hardware. Google file system was replaced by Colossus in 2010.

  4. Multistage sampling - Wikipedia

    en.wikipedia.org/wiki/Multistage_sampling

    Using all the sample elements in all the selected clusters may be prohibitively expensive or unnecessary. Under these circumstances, multistage cluster sampling becomes useful. Instead of using all the elements contained in the selected clusters, the researcher randomly selects elements from each cluster. Constructing the clusters is the first ...

  5. Design effect - Wikipedia

    en.wikipedia.org/wiki/Design_effect

    In some two-stage cluster sampling based cluster sizes. For example, when in the first stage the clusters are sampled proportionally to the estimation of their size (a.k.a.: PPS Probability Proportional to Size) and at the second stage a fixed proportion of elements are chosen (e.g., half, or all the elements in the cluster) - then the ...

  6. Distributed file system for cloud - Wikipedia

    en.wikipedia.org/wiki/Distributed_file_system...

    GFS is a scalable distributed file system for data-intensive applications. It provides fault-tolerant, high-performance data storage a large number of clients accessing it simultaneously. GFS uses MapReduce, which allows users to create programs and run them on multiple machines without thinking about parallelization and load-balancing issues ...

  7. Sampling frame - Wikipedia

    en.wikipedia.org/wiki/Sampling_frame

    Because a cluster-based frame contains less information about the population, it may place constraints on the sample design, possibly requiring the use of less efficient sampling methods and/or making it harder to interpret the resulting data. Statistical theory tells us about the uncertainties in extrapolating from a sample to the frame.

  8. GFS2 - Wikipedia

    en.wikipedia.org/wiki/GFS2

    In computing, the Global File System 2 (GFS2) is a shared-disk file system for Linux computer clusters. GFS2 allows all members of a cluster to have direct concurrent access to the same shared block storage, in contrast to distributed file systems which distribute data throughout the cluster. GFS2 can also be used as a local file system on a ...

  9. List of statistics articles - Wikipedia

    en.wikipedia.org/wiki/List_of_statistics_articles

    Sample mean and covariance – redirects to Sample mean and sample covariance; Sample mean and sample covariance; Sample maximum and minimum; Sample size determination; Sample space; Sample (statistics) Sample-continuous process; Sampling (statistics) Simple random sampling; Snowball sampling; Systematic sampling; Stratified sampling; Cluster ...