Constrained Principal Component Analysis and Related Techniques, Takane, Yoshio
Автор: Jolliffe I.T. Название: Principal Component Analysis. 2 ed. ISBN: 0387954422 ISBN-13(EAN): 9780387954424 Издательство: Springer Рейтинг: Цена: 34937.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The first edition of this book was the first comprehensive text written solely on principal component analysis. The second edition updates and substantially expands the original version, and is once again the definitive text on the subject. Its length is nearly double that of the first edition.
Автор: Maurizio Petrelli Название: Introduction to Python in Earth Science Data Analysis ISBN: 3030780546 ISBN-13(EAN): 9783030780548 Издательство: Springer Рейтинг: Цена: 7622.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This textbook introduces the use of Python programming for exploring and modelling data in the field of Earth Sciences.
Автор: Hox, Joop J. Moerbeek, Mirjam Название: Multilevel analysis ISBN: 1138121401 ISBN-13(EAN): 9781138121409 Издательство: Taylor&Francis Рейтинг: Цена: 25265.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Applauded for its clarity, this accessible introduction helps readers apply multilevel techniques to their research. The book also includes advanced extensions, making it useful as both an introduction for students and as a reference for researchers. Basic models and examples are discussed in nontechnical terms with an emphasis on understanding the methodological and statistical issues involved in using these models. The estimation and interpretation of multilevel models is demonstrated using realistic examples from various disciplines including psychology, education, public health, and sociology. Readers are introduced to a general framework on multilevel modeling which covers both observed and latent variables in the same model, while most other books focus on observed variables. In addition, Bayesian estimation is introduced and applied using accessible software.
Автор: Ngianga-Bakwin Kandala; Gebrenegus Ghilagaber Название: Advanced Techniques for Modelling Maternal and Child Health in Africa ISBN: 9402405232 ISBN-13(EAN): 9789402405231 Издательство: Springer Рейтинг: Цена: 21661.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents advanced statistical techniques used to analyze demographic data, which it illustrates through modelling maternal and child health in the African context using data from Demographic and Health Surveys in several countries in the continent.
Автор: Cross Rebecca Название: Diverse Applications of Principal Component Analysis ISBN: 1632401509 ISBN-13(EAN): 9781632401502 Издательство: Неизвестно Цена: 17694.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book deals with a powerful and convenient approach to a great variety of types of problems of the recursive monte-carlo or stochastic approximation type. The approach, relating algorithm behavior to qualitative properties of deterministic or stochastic differ- ential equations, has advantages in algorithm conceptualiza- tion and design.
Автор: Altman, Eitan Название: Constrained Markov Decision Processes ISBN: 0849303826 ISBN-13(EAN): 9780849303821 Издательство: Taylor&Francis Рейтинг: Цена: 27562.00 р. Наличие на складе: Поставка под заказ.
Автор: Cross Rebecca Название: Principal Component Analysis Handbook ISBN: 1632404168 ISBN-13(EAN): 9781632404169 Издательство: Неизвестно Цена: 17694.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: I.T. Jolliffe Название: Principal Component Analysis. 2 ed. ISBN: 1441929991 ISBN-13(EAN): 9781441929990 Издательство: Springer Рейтинг: Цена: 34937.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The first edition of this book was the first comprehensive text written solely on principal component analysis. The second edition updates and substantially expands the original version, and is once again the definitive text on the subject. Its length is nearly double that of the first edition.
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.
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