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翻訳と辞書　辞書検索 [ 開発暫定版 ] スポンサード リンク Zipf–Mandelbrot law ： ウィキペディア英語版 Zipf–Mandelbrot law | cdf =$\backslash frac\}$| mean =$\backslash frac\}-q$| median =| mode =$1\backslash ,$| variance =| skewness =| kurtosis =| entropy =$\backslash frac^N\backslash frac\; +\backslash ln(H\_)$| mgf =| char =| }} In probability theory and statistics, the Zipf–Mandelbrot law is a discrete probability distribution. Also known as the Pareto-Zipf law, it is a power-law distribution on ranked data, named after the linguist George Kingsley Zipf who suggested a simpler distribution called Zipf's law, and the mathematician Benoît Mandelbrot, who subsequently generalized it. The probability mass function is given by: :$f(k;N,q,s)=\backslash frac$ is given by: :$H\_=\backslash sum\_^N\; \backslash frac$ which may be thought of as a generalization of a harmonic number. In the formula, $k$ is the rank of the data, and $q$ and $s$ are parameters of the distribution. In the limit as $N$ approaches infinity, this becomes the Hurwitz zeta function $\backslash zeta(s,q)$. For finite $N$ and $q=0$ the Zipf–Mandelbrot law becomes Zipf's law. For infinite $N$ and $q=0$ it becomes a Zeta distribution. ==Applications== The distribution of words ranked by their frequency in a random text corpus is approximated by a power-law distribution, known as Zipf's law. If one plots the frequency rank of words contained in a moderately sized corpus of text data versus the number of occurrences or actual frequencies, one obtains a power-law distribution, with exponent close to one (but see Powers, 1998 and Gelbukh & Sidorov, 2001). Zipf's law implicitly assumes a fixed vocabulary size, but the Harmonic series with ''s''=1 does not converge, while the Zipf-Mandelbrot generalization with ''s''>1 does. Furthermore, there is evidence that the closed class of functional words that define a language obeys a Zipf-Mandelbrot distribution with different parameters from the open classes of contentive words that vary by topic, field and register. In ecological field studies, the relative abundance distribution (i.e. the graph of the number of species observed as a function of their abundance) is often found to conform to a Zipf–Mandelbrot law. Within music, many metrics of measuring "pleasing" music conform to Zipf–Mandelbrot distributions. 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Zipf–Mandelbrot law」の詳細全文を読む スポンサード リンク 翻訳と辞書 : 翻訳のためのインターネットリソース Copyright(C) kotoba.ne.jp 1997-2016. All Rights Reserved.