Inverse Gaussian Distribution | Probability theory, Support (mathematics), Wiener process, Normal distribution, Probability density function, Tweedie distributions, Random variable, Independence (probability theory) | Frederic P. Miller (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786130620264 | Verantwortliche Person f�r die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabr�ck, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.

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Title

Publisher

OmniScriptum

Publication Date

2026

Language

English

ISBN 10

6130620268

ISBN 13

9786130620264

Binding

Taschenbuch

Condition

Neu

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125 grams

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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. As λ tends to infinity, the inverse Gaussian distribution becomes more like a normal (Gaussian) distribution. The inverse Gaussian distribution has several properties analogous to a Gaussian distribution. The name can be misleading. It is an "inverse" only in that, while the Gaussian describes the distribution of distance at fixed time in Brownian motion, the inverse Gaussian describes the distribution of the time a Brownian Motion with positive drift takes to reach a fixed positive level.

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