Items related to Wallenius' Noncentral Hypergeometric Distribution:...
Wallenius' Noncentral Hypergeometric Distribution: Probability Theory, Statistics, Hypergeometric Distribution, Sampling Bias, Urn Problem, Fisher's Noncentral Hypergeometric Distribution, Competition - Softcover
Synopsis
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.
"synopsis" may belong to another edition of this title.
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.
"About this title" may belong to another edition of this title.
Search results for Wallenius' Noncentral Hypergeometric Distribution:...
Seller Image
Wallenius' Noncentral Hypergeometric Distribution
Published by
VDM Verlag Dr. Müller E.K. Jan 2010, 2010
ISBN 10: 6130322399
ISBN 13: 9786130322397
New
Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -High Quality Content by WIKIPEDIA articles! 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 1 and each white ball has the weight 2. We will say that the odds ratio is = 1 / 2. 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. Englisch. Seller Inventory # 9786130322397
Seller Image
Wallenius' Noncentral Hypergeometric Distribution : Probability Theory, Statistics, Hypergeometric Distribution, Sampling Bias, Urn Problem, Fisher's Noncentral Hypergeometric Distribution, Competition
Print on DemandSeller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - High Quality Content by WIKIPEDIA articles! 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 1 and each white ball has the weight 2. We will say that the odds ratio is = 1 / 2. 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. Seller Inventory # 9786130322397
Seller Image
Wallenius' Noncentral Hypergeometric Distribution | Probability Theory, Statistics, Hypergeometric Distribution, Sampling Bias, Urn Problem, Fisher's Noncentral Hypergeometric Distribution, Competition
Print on DemandSeller: preigu, Osnabrück, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Wallenius' Noncentral Hypergeometric Distribution | Probability Theory, Statistics, Hypergeometric Distribution, Sampling Bias, Urn Problem, Fisher's Noncentral Hypergeometric Distribution, Competition | Lambert M. Surhone (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786130322397 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 101390126