enow.com Web Search

Search results

  1. Results from the WOW.Com Content Network
  2. Tukey–Duckworth test - Wikipedia

    en.wikipedia.org/wiki/TukeyDuckworth_test

    In statistics, the Tukey–Duckworth test is a two-sample location test – a statistical test of whether one of two samples was significantly greater than the other. It was introduced by John Tukey, who aimed to answer a request by W. E. Duckworth for a test simple enough to be remembered and applied in the field without recourse to tables, let alone computers.

  3. Tukey's range test - Wikipedia

    en.wikipedia.org/wiki/Tukey's_range_test

    Tukey's range test, also known as Tukey's test, Tukey method, Tukey's honest significance test, or Tukey's HSD (honestly significant difference) test, [1] is a single-step multiple comparison procedure and statistical test.

  4. John Tukey - Wikipedia

    en.wikipedia.org/wiki/John_Tukey

    John Wilder Tukey (/ ˈ t uː k i / [2]; June 16, 1915 – July 26, 2000) was an American mathematician and statistician, best known for the development of the fast Fourier Transform (FFT) algorithm and box plot. [3] The Tukey range test, the Tukey lambda distribution, the Tukey test of additivity, and the Teichmüller–Tukey lemma all bear

  5. Nonparametric statistics - Wikipedia

    en.wikipedia.org/wiki/Nonparametric_statistics

    Tukey–Duckworth test: tests equality of two distributions by using ranks. Wald–Wolfowitz runs test: tests whether the elements of a sequence are mutually independent/random. Wilcoxon signed-rank test: tests whether matched pair samples are drawn from populations with different mean ranks.

  6. Tukey's test - Wikipedia

    en.wikipedia.org/wiki/Tukey's_test

    Tukey's test is either: Tukey's range test, also called Tukey method, Tukey's honest significance test, Tukey's HSD (Honestly Significant Difference) test;

  7. Siegel–Tukey test - Wikipedia

    en.wikipedia.org/wiki/Siegel–Tukey_test

    Siegel–Tukey test, named after Sidney Siegel and John Tukey, is a non-parametric test which may be applied to data measured at least on an ordinal scale. It tests for differences in scale between two groups. The test is used to determine if one of two groups of data tends to have more widely dispersed values than the other.

  8. Newman–Keuls method - Wikipedia

    en.wikipedia.org/wiki/Newman–Keuls_method

    Because the number of means within a range changes with each successive pairwise comparison, the critical value of the q statistic also changes with each comparison, which makes the Neuman-Keuls method more lenient and hence more powerful than Tukey's range test. Thus, if a pairwise comparison was found to be significantly different using the ...

  9. Circuit Check - Wikipedia

    en.wikipedia.org/wiki/Circuit_Check

    One, the pneumatically-actuated "clamshell" test fixture, electrically probes a circuit board from both sides. The company also combined in-circuit test with functional test in the same test fixture in 2004, by developing (and patenting) the two-stage fixture having pins of two different lengths, and compressing to two different heights. [2]