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Principal Component Analysis, Jolliffe I.T.


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Цена: 15894р.
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Наличие: Поставка под заказ.  Есть в наличии на складе поставщика.
Склад Англия: 186 шт.  Склад Америка: 116 шт.  
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Автор: Jolliffe I.T.
Название:  Principal Component Analysis   (И.Джолиффе: Анализ главных компонентов)
Издательство: Springer
Классификация:
Вероятность и статистика

ISBN: 0387954422
ISBN-13(EAN): 9780387954424
ISBN: 0-387-95442-2
ISBN-13(EAN): 978-0-387-95442-4
Обложка/Формат: Hardback
Страницы: 516
Вес: 0.938 кг.
Дата издания: 02.10.2002
Серия: Springer series in statistics
Язык: ENG
Издание: 2nd ed. 2002
Иллюстрации: 28 black & white illustrations, 28 black & white l
Размер: 22.96 x 17.32 x 2.84 cm
Читательская аудитория: Postgraduate, research & scholarly
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: Concentration and Dispersion Effects in City Tourism: Cities and Their Hinterlands: Competitors or Collaborators for the Visitor Market? (Peter Murphy ); Urban Destinations as Industrial Growth Clusters (Christopher M. Law); Spatial Activity of Tourists in Cities: What Are the Underlying Factors? (Noam Shoval); Visitor and Tourist Behavior in Cities I: Long Haul Travellers: Towards a Framework for the Study of Overseas Visitors Travel Behaviour in Cities (Karen Thompson, Peter Schofield); Youth and Urban Tourism: A Cross-Cultural Study of European Young Long-Haul Travellers (Aurkene Alzua-Sorzabal, Joseph T. OLeary, Mercedes Rodriguez); Multi-City Pleasure Trip Patterns: An Analysis of International Travelers to the U.S. (Yeong-Hyeon Hwang, Ulrike Gretzel, Daniel R. Fesenmaier).- Event Management in Cities: The Mission of Event Management Associations (Charles Arcodia, Sacha Reid); The Contribution of Special Events to Destination Brand Equity (FrГ©dГ©ric Dimanche).- Visitor and Tourist Behavior in Cities II: Innovative Concepts and Methodologies: Targeting Novice Visitors in City Tourism by Information Portfolio Segmentation (Andreas H. Zins); A Multidimensional Scaling Analysis of Urban Visitors Activities (Vicki Eftichiadou); Demand Segmentation in Urban Tourism: Empirical Evidence for the City of Barcelona (Maria EncarnaciГіn AndrГ© Romero, Manuel ArtГ­s OrtuГ±o, Jordi SuriГ±ach Caralt).- Heritage and City Tourism: Adaptive Re-use of Old Buildings for Heritage Hotels: Prospects and Challenges in the Malaysian Tourism Industry (Ahmad Sanusi Hassan, Nurwati Badarulzaman, A. Ghafar Ahmad, Badaruddin Mohamed); The Process of Social Transformation Associated with Tourism Development in the World-Heritage City Lijiang, China (Takayoshi Yamamura); Painting the Town Red: The Appeal of Violence to the Modern Tourist (Martin Peacock).- Visitor and Tourist Behavior in Cities III: Designing a Sustainable City Tourism Development Model Using an Importance Performance (IP) Analysis (Sotiris H. Avgoustis, Francis Achana); Comparing European Cities Tourism Guest Surveys: An Intelligent Meta-Analytical Approach (David M. Wagner); The Tourist City: A Time-Space Analysis (Martine C. Middleton).- City Tourism Policy and Management: The Public Private Service Index (PPSI) as the Key to Clarifying Expected Services and Willingness to Pay in the Tourism Destination Management: The Example of Basel Tourism (Hansruedi Mueller); Partnership and Collaboration in Destination Management: The Case of Cambridge (UK) (Robert Maitland); Applying Stakeholder Theory to the Implementation of Sustainable Urban Tourism (Seldjan Timur, Donald Getz).- Visitor and Tourist Behavior in Cities IV: Tourism in Heidelberg: Getting a Picture of the City and Its Visitors (Tim Freytag); Opportunities for the Future Development of Hungarian City Tourism (Marta Bakucz); Tourism, Tourists and Local Residents: Management Implications for the World Heritage City of Bath (Tim Coles,Gareth Shaw).- Cities in Transition - Learning from Experiences I: Transforming the Touristic Image of Geneva from a Leisure to a Business Destination and Its Cultural Implications (Bertrand LГ©vy, Rafael Matos); Tourism Policies in French Post-2nd-World-War-Reconstructed Cities: Saint-Nazaire, Le Havre and Lorient (Maria Gravari-Barbas); Transformation of Historical Peninsula of Istanbul with Tourism Function (Ebru Kerimoglu).- Information Technology in City Tourism: The Internet and City Tourists: A Study of Preferences for Information Sources in Travel Planning (Ingvar TjГёstheim, BГҐrd Tronvoll); Developing the Use of Viral Marketing in the Context of Web Based Marketing Communications Strategy for City Destinations (Hilary C. Main); Digital Agents for City Tourism (Stefan Poslad, Rainer Malaka, Barbara Schmidt-Belz).- Cities in Transition - Learning from Experiences II: From Urban Tourism Marketing to Integrated Marketing of Places: An Institutional Analysis Based on Case Studies from Switzerland (Thomas Bieger, Roland Scherer); European Cities of Culture: Implications on Tourism (Markus Wiesenhofer, Martin Schwarz); The Evaluation of European Cities Tourism Offices Web Sites (Ulrike Bauernfeind, Karl W. WГ¶ber, Arno Scharl, Christian Bauer, Martin Natter, Taudes).- Impact and Effectiveness of City Tourism Facilities and Providers: Walk on the Wild Side: Cultural Encounters, Organisational Tensions and Tourism Potentials of the Entrepreneurial Tour Company (Peter Lugosi); The Impact of Event Tourism on City Renewal (Charles Arcodia, Michelle Whitford); Marketing Strategies for European Museums: An Inter-City Comparison by Means of Advanced Benchmarking Methodologies (Anita Remich)
Дополнительное описание: Формат: 235x155
Илюстрации: 28
Круг читателей: Researchers, graduate students
Ключевые слова:
Язык: eng
Издание: 2nd ed.
Оглавление: Introduction * Properties of Population Principal Components * Properties of Sample Principal Components * Interpreting Principal Components: Examples * Graphical Representation of Data Using Principal Components * Choosing a Subset of Principal Components or Variables * Principal Component Analysis and Factor Analysis * Principal Components in Regression Analysis * Principal Components Used with Other Multivariate Techniques * Outlier Detection, Influential Observations and Robust Estimation * Rotation and Interpretation of Principal Components * Principal Component Analysis for Time Series and Other Non-Independent Data * Principal Component Analysis for Special Types of Data * Generalizations and Adaptations of Principal Component Analysis





A User`s Guide to Principal Components

Автор: J. Edward Jackson
Название: A User`s Guide to Principal Components
ISBN: 0471471348 ISBN-13(EAN): 9780471471349
Издательство: Wiley
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Цена: 14212 р.
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Описание: Dealing with the "how to do it" as well as the `"why it works," this book is designed for practitioners of principal component analysis. It explores topics such as: extension to p variables, scaling input data, inferential procedures, operations with group data, and vector interpretation.

Nonlinear Principal Component Analysis and Its Applications

Автор: Mori
Название: Nonlinear Principal Component Analysis and Its Applications
ISBN: 981100157X ISBN-13(EAN): 9789811001574
Издательство: Springer
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Цена: 4674 р.
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Описание:

This book expounds the principle and related applications of nonlinear principal component analysis (PCA), which is useful method to analyze mixed measurement levels data.
In the part dealing with the principle, after a brief introduction of ordinary PCA, a PCA for categorical data (nominal and ordinal) is introduced as nonlinear PCA, in which an optimal scaling technique is used to quantify the categorical variables. The alternating least squares (ALS) is the main algorithm in the method. Multiple correspondence analysis (MCA), a special case of nonlinear PCA, is also introduced. All formulations in these methods are integrated in the same manner as matrix operations. Because any measurement levels data can be treated consistently as numerical data and ALS is a very powerful tool for estimations, the methods can be utilized in a variety of fields such as biometrics, econometrics, psychometrics, and sociology.
In the applications part of the book, four applications are introduced: variable selection for mixed measurement levels data, sparse MCA, joint dimension reduction and clustering methods for categorical data, and acceleration of ALS computation. The variable selection methods in PCA that originally were developed for numerical data can be applied to any types of measurement levels by using nonlinear PCA. Sparseness and joint dimension reduction and clustering for nonlinear data, the results of recent studies, are extensions obtained by the same matrix operations in nonlinear PCA. Finally, an acceleration algorithm is proposed to reduce the problem of computational cost in the ALS iteration in nonlinear multivariate methods.
This book thus presents the usefulness of nonlinear PCA which can be applied to different measurement levels data in diverse fields. As well, it covers the latest topics including the extension of the traditional statistical method, newly proposed nonlinear methods, and computational efficiency in the methods.
Constrained Principal Component Analysis and Related Techniques

Автор: Takane
Название: Constrained Principal Component Analysis and Related Techniques
ISBN: 1466556668 ISBN-13(EAN): 9781466556669
Издательство: Taylor&Francis
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Цена: 7732 р.
Наличие на складе: Нет в наличии.

Описание: In multivariate data analysis, regression techniques predict one set of variables from another while principal component analysis (PCA) finds a subspace of minimal dimensionality that captures the largest variability in the data. How can regression analysis and PCA be combined in a beneficial way? Why and when is it a good idea to combine them? What kind of benefits are we getting from them? Addressing these questions, Constrained Principal Component Analysis and Related Techniques shows how constrained PCA (CPCA) offers a unified framework for these approaches. The book begins with four concrete examples of CPCA that provide readers with a basic understanding of the technique and its applications. It gives a detailed account of two key mathematical ideas in CPCA: projection and singular value decomposition. The author then describes the basic data requirements, models, and analytical tools for CPCA and their immediate extensions. He also introduces techniques that are special cases of or closely related to CPCA and discusses several topics relevant to practical uses of CPCA. The book concludes with a technique that imposes different constraints on different dimensions (DCDD), along with its analytical extensions. MATLAB® programs for CPCA and DCDD as well as data to create the book’s examples are available on the author’s website.

Independent Component Analysis

Автор: Roberts
Название: Independent Component Analysis
ISBN: 0521792983 ISBN-13(EAN): 9780521792981
Издательство: Cambridge Academ
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Цена: 7806 р.
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Описание: Series of edited papers on Independent Component Analysis, containing theory and applications.

Generalized Structured Component

Автор: Hwang
Название: Generalized Structured Component
ISBN: 146659294X ISBN-13(EAN): 9781466592940
Издательство: Taylor&Francis
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Цена: 7732 р.
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Описание: Winner of the 2015 Sugiyama Meiko Award (Publication Award) of the Behaviormetric Society of Japan Developed by the authors, generalized structured component analysis is an alternative to two longstanding approaches to structural equation modeling: covariance structure analysis and partial least squares path modeling. Generalized structured component analysis allows researchers to evaluate the adequacy of a model as a whole, compare a model to alternative specifications, and conduct complex analyses in a straightforward manner. Generalized Structured Component Analysis: A Component-Based Approach to Structural Equation Modeling provides a detailed account of this novel statistical methodology and its various extensions. The authors present the theoretical underpinnings of generalized structured component analysis and demonstrate how it can be applied to various empirical examples. The book enables quantitative methodologists, applied researchers, and practitioners to grasp the basic concepts behind this new approach and apply it to their own research. The book emphasizes conceptual discussions throughout while relegating more technical intricacies to the chapter appendices. Most chapters compare generalized structured component analysis to partial least squares path modeling to show how the two component-based approaches differ when addressing an identical issue. The authors also offer a free, online software program (GeSCA) and an Excel-based software program (XLSTAT) for implementing the basic features of generalized structured component analysis.


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