Verwandte Artikel zu Wallenius' Noncentral Hypergeometric Distribution:...

Wallenius' Noncentral Hypergeometric Distribution: Probability Theory, Statistics, Hypergeometric Distribution, Sampling Bias, Urn Problem, Fisher's Noncentral Hypergeometric Distribution, Competition - Softcover

 
9786130322397: Wallenius' Noncentral Hypergeometric Distribution: Probability Theory, Statistics, Hypergeometric Distribution, Sampling Bias, Urn Problem, Fisher's Noncentral Hypergeometric Distribution, Competition
Softcover
ISBN 10: 6130322399 ISBN 13: 9786130322397
Verlag: Betascript Publishers, 2010

Inhaltsangabe

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In probability theory and statistics, Wallenius'' noncentral hypergeometric distribution is a generalization of the hypergeometric distribution where items are sampled with bias. This distribution can be illustrated as an urn model with bias. Assume, for example, that an urn contains m1 red balls and m2 white balls, totalling N = m1 + m2 balls. Each red ball has the weight ω1 and each white ball has the weight ω2. We will say that the odds ratio is ω = ω1 / ω2. Now we are taking n balls, one by one, in such a way that the probability of taking a particular ball at a particular draw is equal to its proportion of the total weight of all balls that lie in the urn at that moment. The number of red balls x1 that we get in this experiment is a random variable with Wallenius'' noncentral hypergeometric distribution.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Reseña del editor

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In probability theory and statistics, Wallenius'' noncentral hypergeometric distribution is a generalization of the hypergeometric distribution where items are sampled with bias. This distribution can be illustrated as an urn model with bias. Assume, for example, that an urn contains m1 red balls and m2 white balls, totalling N = m1 + m2 balls. Each red ball has the weight ω1 and each white ball has the weight ω2. We will say that the odds ratio is ω = ω1 / ω2. Now we are taking n balls, one by one, in such a way that the probability of taking a particular ball at a particular draw is equal to its proportion of the total weight of all balls that lie in the urn at that moment. The number of red balls x1 that we get in this experiment is a random variable with Wallenius'' noncentral hypergeometric distribution.

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag
Betascript Publishers
Erscheinungsdatum
2010
Sprache
Englisch
ISBN 10 
6130322399
ISBN 13 
9786130322397
Einband
Tapa blanda
Anzahl der Seiten
80
Herausgeber
Surhone Lambert M., Tennoe Mariam T., Henssonow Susan F.
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
Nicht verfügbar