Theory of Agglomerative Hierarchical Clustering, Miyamoto Sadaaki

Автор: Congdon P.D.
Название: Bayesian Hierarchical Metho
ISBN: 1498785751 ISBN-13(EAN): 9781498785754
Издательство: Taylor&Francis
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Цена: 17609.00 р.
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Описание: This is the second edition of a book on applied Bayesian modelling using WinBUGS. It has been updated with a new chapter on regression for causal effects, and one on computing options and strategies.

Автор: Hing Kai Chan; Xiaojun Wang
Название: Fuzzy Hierarchical Model for Risk Assessment
ISBN: 1447150422 ISBN-13(EAN): 9781447150428
Издательство: Springer
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Цена: 18284.00 р.
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Описание: This book offers a fuzzy-based hierarchical approach to risk management problems, tackling imprecise information with qualitative and quantitative criteria. Uses case studies from the food, fashion and electronics sectors on supply chain management and more.

Автор: Lawson Andrew B.
Название: Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology, Third Edition
ISBN: 0367781220 ISBN-13(EAN): 9780367781224
Издательство: Taylor&Francis
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Цена: 7654.00 р.
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Описание: Since the publication of the second edition, many new Bayesian tools and methods have been developed for space-time data analysis, the predictive modeling of health outcomes, and other spatial biostatistical areas. Exploring these new developments, the third edition provides an up-to-date, cohesive account of the full range of Bayesian disease m

Автор: Lee, Youngjo Ronnegard, Lars Noh, Maengseok
Название: Data analysis using hierarchical generalized linear models with r
ISBN: 0367657929 ISBN-13(EAN): 9780367657925
Издательство: Taylor&Francis
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Цена: 7348.00 р.
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Описание: Since their introduction, hierarchical generalized linear models (HGLMs) have proven useful in various fields by allowing random effects in regression models. Interest in the topic has grown, and various practical analytical tools have been developed. This book summarizes developments within the field and, using data examples, illustrates how to

Автор: Poler
Название: Intelligent Non-hierarchical Manufacturing Networks
ISBN: 1848214812 ISBN-13(EAN): 9781848214811
Издательство: Wiley
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Цена: 29138.00 р.
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Описание: This book provides guidance for companies on how to transition to high-performance industrial systems and agile networked enterprises based on the non-hierarchical network model better suited for today`s dynamic global market over the traditional, often problematic, hierarchical networks.

Автор: Erik Vanem; Elzbieta Maria Bitner-Gregersen; Chris
Название: Bayesian Hierarchical Space-Time Models with Application to Significant Wave Height
ISBN: 3662521970 ISBN-13(EAN): 9783662521977
Издательство: Springer
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Цена: 13275.00 р.
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Описание: This book provides an example of a thorough statistical treatment of ocean wave data in space and time. Furthermore, the book addresses the question of whether climate change has an effect of the ocean wave climate, and if so what that effect might be.

Автор: Congdon, Peter D.
Название: Bayesian hierarchical models
ISBN: 1032177152 ISBN-13(EAN): 9781032177151
Издательство: Taylor&Francis
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Цена: 6889.00 р.
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Описание: This is the second edition of a book on applied Bayesian modelling using WinBUGS. It has been updated with a new chapter on regression for causal effects, and one on computing options and strategies.

Автор: Hing Kai Chan; Xiaojun Wang
Название: Fuzzy Hierarchical Model for Risk Assessment
ISBN: 1447160746 ISBN-13(EAN): 9781447160748
Издательство: Springer
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Цена: 15672.00 р.
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Описание: This book offers a fuzzy-based hierarchical approach to risk management problems, tackling imprecise information with qualitative and quantitative criteria. Uses case studies from the food, fashion and electronics sectors on supply chain management and more.

Автор: Richard M. Burton; B?rge Obel
Название: Design Models for Hierarchical Organizations
ISBN: 1461359643 ISBN-13(EAN): 9781461359647
Издательство: Springer
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Цена: 20962.00 р.
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Описание: Design Models for Hierarchical Organizations: Computation, Information, and Decentralization provides state-of-the-art research on organizational design models, and in particular on mathematical models. Each chapters stands alone as a contribution to organization design and the modeling approach to design.

Автор: Junjie Wu
Название: Advances in K-means Clustering
ISBN: 3642447570 ISBN-13(EAN): 9783642447570
Издательство: Springer
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Цена: 15372.00 р.
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Описание: The K-means algorithm is commonly used in data mining and business intelligence. This award-winning research pioneers its application to the intricacies of `big data`, detailing a theoretical framework for aggregating and validating clusters with K-means.