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asht (Q31348)

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Applied Statistical Hypothesis Tests
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English
asht
Applied Statistical Hypothesis Tests

    Statements

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    1.0.0
    8 February 2023
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    0.5
    11 July 2015
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    0.6
    11 May 2016
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    0.8
    7 February 2017
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    0.9.1
    2 May 2017
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    0.9.3
    14 October 2017
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    0.9.4
    15 September 2018
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    0.9.5
    20 June 2020
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    0.9.6
    3 July 2020
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    0.9.7
    25 January 2022
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    0.9.8
    16 September 2022
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    0.9
    3 April 2017
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    1.0.1
    24 August 2023
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    24 August 2023
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    Gives some hypothesis test functions (sign test, median and other quantile tests, Wilcoxon signed rank test, coefficient of variation test, test of normal variance, test on weighted sums of Poisson [see Fay and Kim <doi:10.1002/bimj.201600111>], sample size for t-tests with different variances and non-equal n per arm, Behrens-Fisher test, nonparametric ABC intervals, Wilcoxon-Mann-Whitney test [with effect estimates and confidence intervals, see Fay and Malinovsky <doi:10.1002/sim.7890>], two-sample melding tests [see Fay, Proschan, and Brittain <doi:10.1111/biom.12231>], one-way ANOVA allowing var.equal=FALSE [see Brown and Forsythe, 1974, Biometrics]), prevalence confidence intervals that adjust for sensitivity and specificity [see Lang and Reiczigel, 2014 <doi:10.1016/j.prevetmed.2013.09.015>] or Bayer, Fay, and Graubard, 2023 <doi:10.48550/arXiv.2205.13494>). The focus is on hypothesis tests that have compatible confidence intervals, but some functions only have confidence intervals (e.g., prevSeSp).
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