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Permutation Tests in Shape Analysis (Springer Briefs in Statistics (15))
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Condition: New. 105 pp., Paperback, new. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.
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Permutation Tests in Shape Analysis (SpringerBriefs in Statistics, 15)
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Parametric and Nonparametric Inference for Statistical Dynamic Shape Analysis with Applications (SpringerBriefs in Statistics)
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Parametric and Nonparametric Inference for Statistical Dynamic Shape Analysis with Applications
Published by Springer International Publishing AG, CH, 2016
ISBN 10: 3319263102 ISBN 13: 9783319263106
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
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US$ 82.73
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Add to basketPaperback. Condition: New. 1st ed. 2016. This book considers specific inferential issues arising from the analysis of dynamic shapes with the attempt to solve the problems at hand using probability models and nonparametric tests. The models are simple to understand and interpret and provide a useful tool to describe the global dynamics of the landmark configurations. However, because of the non-Euclidean nature of shape spaces, distributions in shape spaces are not straightforward to obtain. The book explores the use of the Gaussian distribution in the configuration space, with similarity transformations integrated out. Specifically, it works with the offset-normal shape distribution as a probability model for statistical inference on a sample of a temporal sequence of landmark configurations. This enables inference for Gaussian processes from configurations onto the shape space. The book is divided in two parts, with the first three chapters covering material on the offset-normal shape distribution, and the remaining chapters covering the theory of NonParametric Combination (NPC) tests. The chapters offer a collection of applications which are bound together by the theme of this book. They refer to the analysis of data from the FG-NET (Face and Gesture Recognition Research Network) database with facial expressions. For these data, it may be desirable to provide a description of the dynamics of the expressions, or testing whether there is a difference between the dynamics of two facial expressions or testing which of the landmarks are more informative in explaining the pattern of an expression.
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Parametric and Nonparametric Inference for Statistical Dynamic Shape Analysis With Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Parametric and Nonparametric Inference for Statistical Dynamic Shape Analysis With Applications
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Permutation Tests in Shape Analysis
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Parametric and Nonparametric Inference for Statistical Dynamic Shape Analysis with Applications
Published by Springer International Publishing AG, 2016
ISBN 10: 3319263102 ISBN 13: 9783319263106
Language: English
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
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Add to basketCondition: New. Series: SpringerBriefs in Statistics. Num Pages: 125 pages, 21 black & white illustrations, 27 colour illustrations, 3 black & white tables, 17 colou. BIC Classification: PBKS; PBT; UYAM. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 7. Weight in Grams: 209. . 2016. Paperback. . . . .
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Add to basketPaperback. Condition: Brand New. 1st edition. 95 pages. 9.00x6.00x0.25 inches. In Stock.
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Parametric and Nonparametric Inference for Statistical Dynamic Shape Analysis with Applications
Published by Springer International Publishing AG, 2016
ISBN 10: 3319263102 ISBN 13: 9783319263106
Language: English
Condition: New. Series: SpringerBriefs in Statistics. Num Pages: 125 pages, 21 black & white illustrations, 27 colour illustrations, 3 black & white tables, 17 colou. BIC Classification: PBKS; PBT; UYAM. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 7. Weight in Grams: 209. . 2016. Paperback. . . . . Books ship from the US and Ireland.
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Parametric and Nonparametric Inference for Statistical Dynamic Shape Analysis with Applications
Published by Springer International Publishing AG, CH, 2016
ISBN 10: 3319263102 ISBN 13: 9783319263106
Language: English
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Add to basketPaperback. Condition: New. 1st ed. 2016. This book considers specific inferential issues arising from the analysis of dynamic shapes with the attempt to solve the problems at hand using probability models and nonparametric tests. The models are simple to understand and interpret and provide a useful tool to describe the global dynamics of the landmark configurations. However, because of the non-Euclidean nature of shape spaces, distributions in shape spaces are not straightforward to obtain. The book explores the use of the Gaussian distribution in the configuration space, with similarity transformations integrated out. Specifically, it works with the offset-normal shape distribution as a probability model for statistical inference on a sample of a temporal sequence of landmark configurations. This enables inference for Gaussian processes from configurations onto the shape space. The book is divided in two parts, with the first three chapters covering material on the offset-normal shape distribution, and the remaining chapters covering the theory of NonParametric Combination (NPC) tests. The chapters offer a collection of applications which are bound together by the theme of this book. They refer to the analysis of data from the FG-NET (Face and Gesture Recognition Research Network) database with facial expressions. For these data, it may be desirable to provide a description of the dynamics of the expressions, or testing whether there is a difference between the dynamics of two facial expressions or testing which of the landmarks are more informative in explaining the pattern of an expression.
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Parametric and Nonparametric Inference for Statistical Dynamic Shape Analysis with Applications
Published by Springer International Publishing, 2016
ISBN 10: 3319263102 ISBN 13: 9783319263106
Language: English
US$ 57.94
Convert currencyUS$ 56.97 shipping from Germany to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Explores specific inferential issues arising from the analysis of dynamic shapes with the attempt to solve the problems at hand using probability models and nonparametric testsUses the Expectation Maximization (EM) algori.
