9781498763813 - Handbook of Mixture Analysis (chapman & Hall/crc Handbooks of Modern Statistical Methods) (20 results)
Handbook of Mixture Analysis (Chapman & Hall/CRC Handbooks of Modern Statistical Methods)
(Edited by) Sylvia Fruhwirth-Schnatter,Giles Celeux,Christian P.Robert
Language: English
Published by Chapman and Hall/CRC, 2019
Series: Book 19 of 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
- Hardcover
- First Edition
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Hardcover. Condition: Good. No Jacket. 1st Edition. 2019.Hardcover.Good condition.497 pages.Ships from Japan.Usually ships in 1-2 working days.
Language: English
Published by Chapman and Hall/CRC, 2019
Series: Book 19 of 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
- Hardcover
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Handbook of Mixture Analysis
Fruhwirth-schnatter, Sylvia (EDT); Celeux, Gilles (EDT); Robert, Christian P. (EDT)
Language: English
Published by Chapman and Hall/CRC, 2019
Series: Book 19 of 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
- Hardcover
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Language: English
Published by Taylor & Francis Inc, Portland, 2019
Series: Book 19 of 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
- Hardcover
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Hardcover. Condition: new. Hardcover. Mixture models have been around for over 150 years, and they are found in many branches of statistical modelling, as a versatile and multifaceted tool. They can be applied to a wide range of data: univariate or multivariate, continuous or categorical, cross-sectional, time series, networks,…and much more. Mixture analysis is a very active research topic in statistics and machine learning, with new developments in methodology and applications taking place all the time. The Handbook of Mixture Analysis is a very timely publication, presenting a broad overview of the methods and applications of this important field of research. It covers a wide array of topics, including the EM algorithm, Bayesian mixture models, model-based clustering, high-dimensional data, hidden Markov models, and applications in finance, genomics, and astronomy.Features: Provides a comprehensive overview of the methods and applications of mixture modelling and analysis Divided into three parts: Foundations and Methods; Mixture Modelling and Extensions; and Selected Applications Contains many worked examples using real data, together with computational implementation, to illustrate the methods described Includes contributions from the leading researchers in the fieldThe Handbook of Mixture Analysis is targeted at graduate students and young researchers new to the field. It will also be an important reference for anyone working in this field, whether they are developing new methodology, or applying the models to real scientific problems. This handbook is a very timely publication, presenting a broad overview of the methods and applications of this important field of research. It covers a wide array of topics, including the EM algorithm, Bayesian mixture models, model-based clustering, high-dimensional data, hidden Markov models, and applications in finance, genomics, and astronomy. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Handbook of Mixture Analysis
Fruhwirth-schnatter, Sylvia (EDT); Celeux, Gilles (EDT); Robert, Christian P. (EDT)
Language: English
Published by Chapman and Hall/CRC, 2019
Series: Book 19 of 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
- Hardcover
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Language: English
Published by Taylor & Francis Group, 2019
Series: Book 19 of 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
- Hardcover
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Handbook of Mixture Analysis
Fruhwirth-schnatter, Sylvia (EDT); Celeux, Gilles (EDT); Robert, Christian P. (EDT)
Language: English
Published by Chapman and Hall/CRC, 2019
Series: Book 19 of 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
- Hardcover
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Handbook of Mixture Analysis
Fruhwirth-schnatter, Sylvia (EDT); Celeux, Gilles (EDT); Robert, Christian P. (EDT)
Language: English
Published by Chapman and Hall/CRC, 2019
Series: Book 19 of 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Language: English
Published by CRC Press, 2019
Series: Book 19 of 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
- Hardcover
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Language: English
Published by Chapman and Hall/CRC, 2019
Series: Book 19 of 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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Language: English
Published by CRC Press, 2019
Series: Book 19 of 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
- Hardcover
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Language: English
Published by Chapman and Hall/CRC, 2019
Series: Book 19 of 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
- Hardcover
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Language: English
Published by Chapman and Hall/CRC, 2019
Series: Book 19 of 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
- Hardcover
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Language: English
Published by Chapman & Hall, 2018
Series: Book 19 of 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
- Hardcover
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Hardcover. Condition: Brand New. 497 pages. 10.00x7.25x1.25 inches. In Stock.
Language: English
Published by Taylor & Francis Inc, Portland, 2019
Series: Book 19 of 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
- Hardcover
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Hardcover. Condition: new. Hardcover. Mixture models have been around for over 150 years, and they are found in many branches of statistical modelling, as a versatile and multifaceted tool. They can be applied to a wide range of data: univariate or multivariate, continuous or categorical, cross-sectional, time series, networks,…and much more. Mixture analysis is a very active research topic in statistics and machine learning, with new developments in methodology and applications taking place all the time. The Handbook of Mixture Analysis is a very timely publication, presenting a broad overview of the methods and applications of this important field of research. It covers a wide array of topics, including the EM algorithm, Bayesian mixture models, model-based clustering, high-dimensional data, hidden Markov models, and applications in finance, genomics, and astronomy.Features: Provides a comprehensive overview of the methods and applications of mixture modelling and analysis Divided into three parts: Foundations and Methods; Mixture Modelling and Extensions; and Selected Applications Contains many worked examples using real data, together with computational implementation, to illustrate the methods described Includes contributions from the leading researchers in the fieldThe Handbook of Mixture Analysis is targeted at graduate students and young researchers new to the field. It will also be an important reference for anyone working in this field, whether they are developing new methodology, or applying the models to real scientific problems. This handbook is a very timely publication, presenting a broad overview of the methods and applications of this important field of research. It covers a wide array of topics, including the EM algorithm, Bayesian mixture models, model-based clustering, high-dimensional data, hidden Markov models, and applications in finance, genomics, and astronomy. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Language: English
Published by Taylor & Francis Group, 2019
Series: Book 19 of 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
- Hardcover
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Condition: New. Print on Demand pp. 624.
Language: English
Published by Taylor & Francis Group, 2019
Series: Book 19 of 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
- Hardcover
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Condition: New. PRINT ON DEMAND pp. 624.
Language: English
Published by Chapman & Hall, 2018
Series: Book 19 of 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
- Hardcover
- Print on Demand
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Hardcover. Condition: Brand New. 497 pages. 10.00x7.25x1.25 inches. In Stock. This item is printed on demand.
Language: English
Published by CRC Press, 2019
Series: Book 19 of 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
- Hardcover
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Sylvia Fruehwirth-Schnatter is Professor of Applied Statistics and Econometrics at the Department of Finance, Accounting, and Statistics, Vienna University of Economics and Business, Austria. She has contributed to re…search in Bayesian modelling and MCMC .
Language: English
Published by Chapman and Hall/CRC, 2019
Series: Book 19 of 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
- Hardcover
- Print on Demand
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Buch. Condition: Neu. Handbook of Mixture Analysis | Sylvia Fruhwirth-Schnatter (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2019 | Chapman and Hall/CRC | EAN 9781498763813 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
