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Parametric and Nonparametric Inference for Statistical Dynamic Shape Analysis with Applications

BuchKartoniert, Paperback
115 Seiten
Englisch
Springererschienen am19.02.20161st 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.mehr
Verfügbare Formate
BuchKartoniert, Paperback
EUR53,49
E-BookPDF1 - PDF WatermarkE-Book
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Produkt

KlappentextThis 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.
Zusammenfassung
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 tests

Uses the Expectation Maximization (EM) algorithm to give essential results for a likelihood-based approach to statistical inference in shape analysis

Covers the theory of NonParametric Combination (NPC) tests as well as the applications of the methodology to the Face and Gesture Recognition Research Network (FG-NET) data
Details
ISBN/GTIN978-3-319-26310-6
ProduktartBuch
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2016
Erscheinungsdatum19.02.2016
Auflage1st ed. 2016
ReiheSpringerBriefs in Statistics
Seiten115 Seiten
SpracheEnglisch
Gewicht207 g
IllustrationenX, 115 p. 48 illus., 27 illus. in color.
Artikel-Nr.15625099

Inhalt/Kritik

Inhaltsverzeichnis
Part I Offset Normal Distribution for Dynamic Shapes.- Basic Concepts and Definitions.- Shape Inference and the Offset-Normal Distribution.- Dynamic Shape Analysis Through the Offset-Normal Distribution.- Part II Combination-Based Permutation Tests for Shape Analysis.- Parametric and Non-Parametric Testing of Mean Shapes.- Applications of NPC Methodology.- Shape Inference and the Offset-Normal Distribution.mehr
Kritik
mehr

Schlagworte

Autor

Chiara Brombin is Assistant Professor in Statistics atthe Faculty of Psychology (University Vita-Salute San Raffaele, Milano) andnational coordinator of the research project FIRB 2012 (RBFR12VHR7)"Interpreting emotions: a computational tool integrating facialexpressions and biosignals based on shape analysis and Bayesian networks".Her research interests focus on applied statistics and include nonparametricpermutation tests, statistical shape analysis, multivariate statistics, linearmixed-effect models, joint models for longitudinal and time-to-event data.

Luigi Salmaso is Full Professor of Statistics at theDepartment of Management and Engineering at University of Padova. His researchinterests include biostatistics, statistical methods for marketing research,design of experiments, nonparametric statistics and agricultural statistics.Specific topics of interests include permutation tests, resampling techniquesand ranking and selection methods.

Luigi Ippoliti is an Associate Professor in Statistics atthe University "G. d'Annunzio"of Chieti Pescara, Italy. His researchactivity is mainly focused on the analysis of multivariate processes withtemporal, spatial and spatio-temporal structures with interests in economic,environmental and Neuro-Physiological applications.
Specific topics of interests include hierarchicalspatio-temporal models, image processing, functional data analysis and dynamicshape analysis.
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