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    [Determination of the information value of differences in mean indices in morphometric studies].
    PubMed (1982)
    Kakturskiĭ LvSvishchev Av
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    Keywords:
    Value (mathematics)
    Mean value
    Topics:
    Morphological variations and asymmetry
    Medical and Biological Sciences
    Testing independence of several groups of variables
    Journal of Statistical Computation and Simulation (1990)
    J. TangRrjun K. Gupta
    The null distribution of Wilks' likelihood-ratio criterion for testing independence of several groups of variables in a multivariate normal population is derived. Percentage points are tabulated for various values of the sample sizeN and partitions of p, the number of variables. This paper extends Mathai and Katiya's (1979) “sphericity” results and tables.
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    Conditional independence
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    Biometrika (1951)
    M. B. Cook
    Bivariate data
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    Exact slopes of the rank statistics for the two-sample case under discrete distributions
    Applications of Mathematics (1981)
    Dana Vorlíčková
    Rank (graph theory)
    Sample (material)
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    Hotelling’s T2 tests in paired and independent survey samples: An efficiency comparison
    Journal of Multivariate Analysis (2016)
    Ludwig BaringhausDaniel Gaigall
    Canonical correlation
    Sample (material)
    Citations (5)
    GOODNESS OF FIT STATISTICS BASED ON THE SPACINGS OF COMPLETE OR CENSORED SAMPLES
    Australian Journal of Statistics (1980)
    M. L. Tiku
    Summary A goodness‐of‐fit statistic Z is defined in terms of the spacings generated by the order statistics of a complete or a censored sample from a distribution of the type (l/s̀)f((x‐μ)/s̀), μ and s̀ unknown. The distribution of Z is studied, mostly through Monte Carlo methods. The power properties of Z for testing Exponential, Uniform, Normal, Gamma and Logistic distributions are discussed; Z is shown to be more powerful than the Smith & Bain (1976) correlation statistic, except for testing Uniform, Normal and Logistic (symmetric distributions) against symmetric alternatives. The statistic Z is generalized to test the goodness‐of‐fit from κ 2 independent complete or censored samples.
    Goodness of fit
    Statistic
    Logistic distribution
    Citations (42)
    On difference of means with incomplete data
    Biometrika (1974)
    Pi‐Erh LinLawrence E. Stivers
    Journal Article On difference of means with incomplete data Get access PI-ERH LIN, PI-ERH LIN Department of Statistics, The Florida State UniversityTallahassee Search for other works by this author on: Oxford Academic Google Scholar LAWRENCE E. STIVERS LAWRENCE E. STIVERS Department of Statistics, The Florida State UniversityTallahassee Search for other works by this author on: Oxford Academic Google Scholar Biometrika, Volume 61, Issue 2, August 1974, Pages 325–334, https://doi.org/10.1093/biomet/61.2.325 Published: 01 August 1974
    Citations (58)
    Confidence Intervals for the Difference and the Ratio of Coefficients of Variation of Normal Distribution with a Known Ratio of Variances
    International Journal of Mathematics Trends and Technology (2016)
    Suparat NiwitpongArunee Wongkhao
    Coefficient of variation
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    Sampling Variances of Estimates of Components of Variance from a Non-Orthogonal Two-Way Classification
    Biometrika (1964)
    Leone Y. Low
    Variance components
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    The Effect of Non-Normality on the z-test, when Used to Compare the Variances in Two Populations
    Biometrika (1950)
    D. J. Finch
    Normality test
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    A test for equality of means of correlated variates with missing data on one response
    Biometrika (1973)
    Donald F. Morrison
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