mixture models applications (33 Ergebnisse)

gebundene Ausgabe. Zustand: Gut. 398 Seiten Der Erhaltungszustand des hier angebotenen Werks ist trotz seiner Bibliotheksnutzung sehr sauber und kann entsprechende Merkmale aufweisen (Rückenschild, Instituts-Stempel.). In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 710.

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XII, 355 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Unsupervised and Semi-Supervised Learning. Sprache: Englisch.

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Hardcover. Zustand: Fine. 3540686509 Fine/As New; Hardcover; Covers are still glossy with "sharp" edge-corners; Unblemished textblock edges; The endpapers and all text pages are bright and unmarked; Binding is tight with a straight spine; This book will be stored and delivered in a sturdy cardboard box with foam padding; Medium Format (8.5" - 9.75" tall); Purple and tan covers with title in white lettering; 2009, Springer-Verlag Publishing; 246 pages; "Medical Applications of Finite Mixture Models (Statistics for Biology and Health)," by Peter Schlattmann.

Softcover. Quarto, iii, ix, 163 pages. In Very Good condition. Paperback binding. Spine off-white with black lettering. Covers have very mild wear exteriorly and minor wear to the edges. Text block has minimal wear to the edges. Illustrated. NSF-CBMS Regional Conference Series in Probability and Statistics, Volume 5. NOTE: Shelved in Locked Annex Area, Netdesk Column QA (ND-QA). 1379377. FP New Rockville Stock.

Taschenbuch. Zustand: Neu. Generalized Order Statistics Under Finite Mixture Models | Asymptotic Theory and Applications | A. M. ELsawah | Taschenbuch | 120 S. | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783659286063 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu.

Zustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,700grams, ISBN:9781441921963.

Zustand: Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In fair condition, suitable as a study copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,600grams, ISBN:0824776917.

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Hardcover. Zustand: Brand New. 368 pages. 9.25x6.10x1.10 inches. In Stock.

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Taschenbuch. Zustand: Neu. Medical Applications of Finite Mixture Models | Peter Schlattmann | Taschenbuch | Statistics for Biology and Health | x | Englisch | 2010 | Springer | EAN 9783642088162 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Patients are not alike! This simple truth is often ignored in the analysis of me- cal data, since most of the time results are presented for the 'average' patient. As a result, potential variability between patients is ignored when presenting, e.g., the results of a multiple linear regression model. In medicine there are more and more attempts to individualize therapy; thus, from the author's point of view biostatis- cians should support these efforts. Therefore, one of the tasks of the statistician is to identify heterogeneity of patients and, if possible, to explain part of it with known explanatory covariates. Finite mixture models may be used to aid this purpose. This book tries to show that there are a large range of applications. They include the analysis of gene - pression data, pharmacokinetics, toxicology, and the determinants of beta-carotene plasma levels. Other examples include disease clustering, data from psychophysi- ogy, and meta-analysis of published studies. The book is intended as a resource for those interested in applying these methods.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on recent advances, approaches, theories and applications related to mixture models. In particular, it presents recent unsupervised and semi-supervised frameworks that consider mixture models as their main tool. The chapters considers mixture models involving several interesting and challenging problems such as parameters estimation, model selection, feature selection, etc. The goal of this book is to summarize the recent advances and modern approaches related to these problems. Each contributor presents novel research, a practical study, or novel applications based on mixture models, or a survey of the literature.Reports advances on classic problems in mixture modeling such as parameter estimation, model selection, and feature selection;Present theoretical and practical developments in mixture-based modeling and their importance in different applications;Discusses perspectives and challenging future works related tomixture modeling.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on recent advances, approaches, theories and applications related to mixture models. In particular, it presents recent unsupervised and semi-supervised frameworks that consider mixture models as their main tool. The chapters considers mixture models involving several interesting and challenging problems such as parameters estimation, model selection, feature selection, etc. The goal of this book is to summarize the recent advances and modern approaches related to these problems. Each contributor presents novel research, a practical study, or novel applications based on mixture models, or a survey of the literature.Reports advances on classic problems in mixture modeling such as parameter estimation, model selection, and feature selection;Present theoretical and practical developments in mixture-based modeling and their importance in different applications;Discusses perspectives and challenging future works related tomixture modeling.

Paperback. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Paperback. Zustand: Brand New. 402 pages. 9.00x6.00x0.97 inches. In Stock.

Taschenbuch. Zustand: Neu. Multivariate and Mixture Distribution Rasch Models | Extensions and Applications | Matthias Davier (u. a.) | Taschenbuch | Statistics for Social and Behavioral Sciences | xiii | Englisch | 2010 | Springer | EAN 9781441921963 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume gathers together a set of extensions of the Rasch model, one of the most prominent models for measurement in educational research and - cial science developed by Danish mathematician Georg Rasch. The idea for this volume emerged during a meeting of the Psychometric Society in M- terey, CA. At that meeting, friends and colleagues discussed news about the impending retirement of Dr. Jurgen Rost, an important innovator and m- tor in this eld. To recognize Jurgen's contributions, we decided to produce a collection of research on extending the Rasch model as well as embedding the Rasch model in more complex statistical models, an area that is receiving broad interest in many elds of social sciences at the current time. This collection contains 22 chapters by recognized international experts in the eld.Thecontributionscovertopicsrangingfromgeneralmodelextensions to application in elds as diverse as cognition, personality, organizational and sports psychology, and health sciences and education. The Rasch model is designed for categorical data, often collected as ex- inees' responses to multiple tasks such as cognitive items from psychological tests or from educational assessments. The Rasch model's elegant mathema- cal form is suitable for extensions that allow for greater exibility in handling complex samples of examinees and collections of tasks from di erent domains. In these extensions, the Rasch model is enhanced by additional structural - ements that account either for di erences between diverse populations or for di erences among observed variables.

Zustand: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume gathers together a set of extensions of the Rasch model, one of the most prominent models for measurement in educational research and - cial science developed by Danish mathematician Georg Rasch. The idea for this volume emerged during a meeting of the Psychometric Society in M- terey, CA. At that meeting, friends and colleagues discussed news about the impending retirement of Dr. Jurgen Rost, an important innovator and m- tor in this eld. To recognize Jurgen's contributions, we decided to produce a collection of research on extending the Rasch model as well as embedding the Rasch model in more complex statistical models, an area that is receiving broad interest in many elds of social sciences at the current time. This collection contains 22 chapters by recognized international experts in the eld.Thecontributionscovertopicsrangingfromgeneralmodelextensions to application in elds as diverse as cognition, personality, organizational and sports psychology, and health sciences and education. The Rasch model is designed for categorical data, often collected as ex- inees' responses to multiple tasks such as cognitive items from psychological tests or from educational assessments. The Rasch model's elegant mathema- cal form is suitable for extensions that allow for greater exibility in handling complex samples of examinees and collections of tasks from di erent domains. In these extensions, the Rasch model is enhanced by additional structural - ements that account either for di erences between diverse populations or for di erences among observed variables.

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