Results 21 to 30 of about 7,093,858 (209)
Analysis and Allocation of Cancer-Related Genes Using Vague DNA Sequence Data
Frontiers in Genetics, 2022 To test the equality of several independent multinomial distributions, the chi-square test for count data is applied. The existing test can be applied when complete information about the data is available.
Muhammad Aslam, Mohammed Albassam
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Chi-square, Student and Fisher-Snedecor Statistical Distributions and Their Application
Статистика України, 2018 The Chi-square distribution is the distribution of the sum of squared standard normal deviates. The degree of freedom of the distribution is equal to the number of standard normal deviates being summed. For the first time this distribution was studied by
F. V. Motsnyi
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A Minimum Logit Chi-Squared Estimator for Asymmetric Generalizations of the Logistic Model [PDF]
The Egyptian Statistical Journal, 1993 The minimum logit chi-squared estimator, as originally proposed by Berkson (1944, 1955), has been suggested for use in estimating the parameters in a linear logistic regression model for binomial response data. It is asymptotically normal when the number
Mohammed El-Saidi
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Extremes of independent chi-square random vectors [PDF]
, 2010 We prove that the componentwise maximum of an i.i.d. triangular array of chi-square random vectors converges in distribution, under appropriate assumptions on the dependence within the vectors and after normalization, to the max-stable Husler-Reiss ...
Hashorva, E. +5 more
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The γ-order generalized chi-square distribution
Research in StatisticsBased on the definition of the γ-order generalized normal, the γ-order generalized standard normal is obtained, and applications are referred. We proceed on the definition of the γ-order generalized chi-square, [Formula: see text] and the probability ...
Christos P. Kitsos, Ioannis S. Stamatiou
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Entropy, 2022 The additive Gaussian white noise (AGWN) level in real-life images is usually unknown, for which the empirical setting will make the denoising methods over-smooth fine structures or remove noise incompletely.
Zhicheng Wang +4 more
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The bivariate noncentral chi-square distribution – A compound distribution approach
, 2011 This paper proposes the bivariate noncentral chi-square (BNC) distribution by compounding the Poisson probabilities with the bivariate central chi-square distribution.
Rossita M. Yunus +3 more
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Jurnal Lebesgue, 2023 The presence of insurance can provide coverage for all risks that occur for owners or motorists. Insurance will provide various forms of coverage in accordance with their respective products, so that vehicle owners or drivers will get protection ...
M Dziqri Nur Rohiim +1 more
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Chebyshev–Edgeworth-Type Approximations for Statistics Based on Samples with Random Sizes
Mathematics, 2021 Second-order Chebyshev–Edgeworth expansions are derived for various statistics from samples with random sample sizes, where the asymptotic laws are scale mixtures of the standard normal or chi-square distributions with scale mixing gamma or inverse ...
Gerd Christoph, Vladimir V. Ulyanov
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Epidemiology, Biostatistics and Public Health, 2019 The Pearson’s chi-square test represents a nonparametric test more used in Biomedicine and Social Sciences, but it introduces an error for 2x2 contingency tables, when a discrete probability distribution is approximated with a continuous distribution ...
Nicola Serra +3 more
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