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  2. MIL-STD-105 - Wikipedia

    en.wikipedia.org/wiki/MIL-STD-105

    MIL-STD-105 D Quick reference Table, TABLE I and TABLE IIA. MIL-STD-105 was a United States defense standard that provided procedures and tables for sampling by attributes based on Walter A. Shewhart, Harry Romig, and Harold F. Dodge sampling inspection theories and mathematical formulas. Widely adopted outside of military procurement applications.

  3. Variables sampling plan - Wikipedia

    en.wikipedia.org/wiki/Variables_sampling_plan

    This plan requires the knowledge of the statistical model (e.g. normal distribution). The historical evolution of this technique dates back to the seminal work of W. Allen Wallis (1943). The purpose of a plan for variables is to assess whether the process is operating far enough from the specification limit. Plans for variables may produce a ...

  4. Lot quality assurance sampling - Wikipedia

    en.wikipedia.org/wiki/Lot_Quality_Assurance_Sampling

    Lot quality assurance sampling (LQAS) is a random sampling methodology, originally developed in the 1920s [1] as a method of quality control in industrial production. Compared to similar sampling techniques like stratified and cluster sampling , LQAS provides less information but often requires substantially smaller sample sizes.

  5. Acceptance sampling - Wikipedia

    en.wikipedia.org/wiki/Acceptance_sampling

    The design of a single sampling plan requires the selection of the sample size and the acceptance number . MIL-STD-105 was a United States defense standard that provided procedures and tables for sampling by attributes (pass or fail characteristic).

  6. Sample size determination - Wikipedia

    en.wikipedia.org/wiki/Sample_size_determination

    The table shown on the right can be used in a two-sample t-test to estimate the sample sizes of an experimental group and a control group that are of equal size, that is, the total number of individuals in the trial is twice that of the number given, and the desired significance level is 0.05. [4]

  7. 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.

  8. Harold F. Dodge - Wikipedia

    en.wikipedia.org/wiki/Harold_F._Dodge

    Harold Dodge is universally known for his work in originating acceptance sampling plans for putting inspection operations on a scientific basis in terms of controllable risks. Dodge earned his B.S. in electrical engineering from M.I.T. in 1916 and his A.B. (master's degree) in physics from Columbia University in 1917.

  9. Correlated double sampling - Wikipedia

    en.wikipedia.org/wiki/Correlated_double_sampling

    When used in imagers, correlated double sampling is a noise reduction technique in which the reference voltage of the pixel (i.e., the pixel’s voltage after it is reset) is subtracted from the signal voltage of the pixel (i.e., the pixel’s voltage at the end of integration) at the end of each integration period, to cancel kTC noise (the ...