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Determination of the modes of a Multinomial distribution
Statistics & Probability Letters, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Testing equivalence of multinomial distributions
Statistics & Probability Letters, 2017We introduce the smooth total variation distance as a natural choice to establish equivalence. We propose asymptotic and bootstrap-based tests for which asymptotic optimality is shown. The finite sample performance is studied by simulations. Then we apply tests to real data sets.
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Applications of the Multinomial Distribution
1987A discrete random variable (X1,…,Xm) is multinomially distributed if its point probabilities are $$f\left( {x_1 , \ldots ,x_m } \right) = (\begin{array}{*{20}c} n \\ {x_1 , \ldots ,x_m } \\ \end{array} )P_1 ^{x_1 } \ldots P_m ^{x_m }$$ where x1+…+xm=n and p1+…+pm=1.Conditions for (X1,…,Xm) to be multiomially distributed were given in sections 6 ...
Erling B. Andersen +2 more
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A CHARACTERIZATION OF THE MULTINOMIAL DISTRIBUTION
Australian Journal of Statistics, 1974openaire +2 more sources
On the Entropy of the Multinomial Distribution
Theory of Probability & Its Applications, 1978openaire +1 more source
Interpreting Results From the Multinomial Logit Model
Organizational Research Methods, 2015Jesper Wulff
exaly