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Noncentral Hypergeometric Distributions: Statistics, Hypergeometric Distribution, Sample (Statistics), Probability Distribution, Wallenius' Noncentral Hypergeometric Distribution - Brossura
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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In statistics, the hypergeometric distribution is the discrete probability distribution generated by picking colored balls at random from an urn without replacement. Various generalizations to this distribution exist for cases where the picking of colored balls is biased so that balls of one color are more likely to be picked than balls of another color. This can be illustrated by the following example. Assume that an opinion poll is conducted by calling random telephone numbers. Unemployed people are more likely to be home and answer the phone than employed people are. Therefore, unemployed respondents are likely to be over-represented in the sample. The probability distribution of employed versus unemployed respondents in a sample of n respondents can be described as a noncentral hypergeometric distribution.
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Noncentral Hypergeometric Distributions
Editore:
VDM Verlag Dr. Müller E.K. Jan 2010, 2010
ISBN 10: 6130332637
ISBN 13: 9786130332631
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -High Quality Content by WIKIPEDIA articles! In statistics, the hypergeometric distribution is the discrete probability distribution generated by picking colored balls at random from an urn without replacement. Various generalizations to this distribution exist for cases where the picking of colored balls is biased so that balls of one color are more likely to be picked than balls of another color. This can be illustrated by the following example. Assume that an opinion poll is conducted by calling random telephone numbers. Unemployed people are more likely to be home and answer the phone than employed people are. Therefore, unemployed respondents are likely to be over-represented in the sample. The probability distribution of employed versus unemployed respondents in a sample of n respondents can be described as a noncentral hypergeometric distribution. Englisch. Codice articolo 9786130332631
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Noncentral Hypergeometric Distributions : Statistics, Hypergeometric Distribution, Sample (Statistics), Probability Distribution, Wallenius' Noncentral Hypergeometric Distribution
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - High Quality Content by WIKIPEDIA articles! In statistics, the hypergeometric distribution is the discrete probability distribution generated by picking colored balls at random from an urn without replacement. Various generalizations to this distribution exist for cases where the picking of colored balls is biased so that balls of one color are more likely to be picked than balls of another color. This can be illustrated by the following example. Assume that an opinion poll is conducted by calling random telephone numbers. Unemployed people are more likely to be home and answer the phone than employed people are. Therefore, unemployed respondents are likely to be over-represented in the sample. The probability distribution of employed versus unemployed respondents in a sample of n respondents can be described as a noncentral hypergeometric distribution. Codice articolo 9786130332631
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Noncentral Hypergeometric Distributions | Statistics, Hypergeometric Distribution, Sample (Statistics), Probability Distribution, Wallenius' Noncentral Hypergeometric Distribution
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Taschenbuch. Condizione: Neu. Noncentral Hypergeometric Distributions | Statistics, Hypergeometric Distribution, Sample (Statistics), Probability Distribution, Wallenius' Noncentral Hypergeometric Distribution | Lambert M. Surhone (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786130332631 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. Codice articolo 101390007
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