Titlebook: Univariate Stable Distributions; Models for Heavy Tai John P. Nolan Textbook 2020 The Editor(s) (if applicable) and The Author(s), under ex

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書目名稱Univariate Stable Distributions影響因子(影響力)




書目名稱Univariate Stable Distributions影響因子(影響力)學科排名




書目名稱Univariate Stable Distributions網(wǎng)絡公開度




書目名稱Univariate Stable Distributions網(wǎng)絡公開度學科排名




書目名稱Univariate Stable Distributions被引頻次




書目名稱Univariate Stable Distributions被引頻次學科排名




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書目名稱Univariate Stable Distributions年度引用學科排名




書目名稱Univariate Stable Distributions讀者反饋




書目名稱Univariate Stable Distributions讀者反饋學科排名

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John P. Nolante im Ausland oder die Absicherung eigener Rohstoffquellen. Dieser Proze? führt gleichzeitig zur Vertiefung der gr??enspezifischen Strukturdifferenzierung innerhalb des Gesamtkapitals. Immer weniger gro?e Unternehmen stehen einer Vielzahl kleiner und mittlerer Unternehmen gegenüber.

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John P. Nolanm Beispiel m?glich sein, auf 1 ha Ackerboden den gesamten Weltbedarf an Getreide zu erzeugen. Inzwischen ist das Gesetz für die Landwirtschaft im einzelnen wissenschaftlich überprüft und im wesentlichen durch empirische Untersuchungen best?tigt worden.).

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Textbook 2020 Links to free software are included as well, where readers can put these methods into practice..Univariate Stable Distributions. is ideal for advanced undergraduate or graduate students in mathematics, as well as many other fields, such as statistics, economics, engineering, physics, and more. It w

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Stable Regression,stributed errors, the OLS solution is the same as the maximum likelihood solution. Although small departures from normality do not affect the model greatly, errors from a heavy tailed distribution will generally result in extreme observations that can greatly affect the estimated OLS regression coefficients.

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Basic Properties of Univariate Stable Distributions,Stable distributions are a rich class of probability distributions that allow skewness and heavy tails and have many intriguing mathematical properties. The class was characterized by Paul Lévy in his study of sums of independent identically distributed terms in the 1920s.

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