Inference for functional data with applications, Horvath, Lajos Kokoszka, Piotr
Автор: Trevor Hastie; Robert Tibshirani; Jerome Friedman Название: The Elements of Statistical Learning ISBN: 0387848576 ISBN-13(EAN): 9780387848570 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This major new edition features many topics not covered in the original, including graphical models, random forests, and ensemble methods. As before, it covers the conceptual framework for statistical data in our rapidly expanding computerized world.
Автор: Bradley Efron , Trevor Hastie Название: Computer Age Statistical Inference, Student Edition ISBN: 1108823416 ISBN-13(EAN): 9781108823418 Издательство: Cambridge Academ Рейтинг: Цена: 5069.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Computing power has revolutionized the theory and practice of statistical inference. Now in paperback, and fortified with 130 class-tested exercises, this book explains modern statistical thinking from classical theories to state-of-the-art prediction algorithms. Anyone who applies statistical methods to data will value this landmark text.
Автор: Fr?d?ric Ferraty Название: Recent Advances in Functional Data Analysis and Related Topics ISBN: 3790828335 ISBN-13(EAN): 9783790828337 Издательство: Springer Рейтинг: Цена: 25853.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The failure of standard multivariate statistics to analyze such functional data has led the statistical community to develop appropriate statistical methodologies, called Functional Data Analysis (FDA).
Автор: Kokoszka Название: Introduction To Functional Data Ana ISBN: 1498746349 ISBN-13(EAN): 9781498746342 Издательство: Taylor&Francis Рейтинг: Цена: 13779.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book provides an introduction to functional data analysis (FDA), useful to students and researchers. FDA is now generally viewed as a fundamental subfield of statistics. FDA methods have been applied to science, business and engineering.
Описание: The most important statistical concepts are the general linear model for Gaussian variables and the general methods of maximum likelihood estimation as well as the likelihood ratio test.
Автор: Douglas B. Clarkson; Chris Fraley; Charles Gu; Jam Название: S+Functional Data Analysis ISBN: 0387249699 ISBN-13(EAN): 9780387249698 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book can be considered a companion to two other highly acclaimed books involving James Ramsay and Bernard Silverman: Functional Data Analysis, Second Edition (2005) and Applied Functional Data Analysis (2002). This user`s manual also provides the documentation for the S+FDA library for S-Plus.
Автор: Srivastava, Anuj Klassen, Eric P. Название: Functional and shape data analysis ISBN: 1493981552 ISBN-13(EAN): 9781493981557 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This textbook for courses on function data analysis and shape data analysis describes how to define, compare, and mathematically represent shapes, with a focus on statistical modeling and inference.
Автор: James Ramsay; B. W. Silverman Название: Functional Data Analysis ISBN: 1441923004 ISBN-13(EAN): 9781441923004 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Scientists today collect samples of curves and other functional observations. This monograph presents many ideas and techniques for such data. Included are expressions in the functional domain of such classics as linear regression, principal components analysis, linear modelling, and canonical correlation analysis, as well as specifically functional techniques such as curve registration and principal differential analysis. Data arising in real applications are used throughout for both motivation and illustration, showing how functional approaches allow us to see new things, especially by exploiting the smoothness of the processes generating the data. The data sets exemplify the wide scope of functional data analysis; they are drwan from growth analysis, meterology, biomechanics, equine science, economics, and medicine. The book presents novel statistical technology while keeping the mathematical level widely accessible. It is designed to appeal to students, to applied data analysts, and to experienced researchers; it will have value both within statistics and across a broad spectrum of other fields. Much of the material is based on the authors' own work, some of which appears here for the first time. Jim Ramsay is Professor of Psychology at McGill University and is an international authority on many aspects of multivariate analysis. He draws on his collaboration with researchers in speech articulation, motor control, meteorology, psychology, and human physiology to illustrate his technical contributions to functional data analysis in a wide range of statistical and application journals. Bernard Silverman, author of the highly regarded "Density Estimation for Statistics and Data Analysis," and coauthor of "Nonparametric Regression and Generalized Linear Models: A Roughness Penalty Approach," is Professor of Statistics at Bristol University. His published work on smoothing methods and other aspects of applied, computational, and theoretical statistics has been recognized by the Presidents' Award of the Committee of Presidents of Statistical Societies, and the award of two Guy Medals by the Royal Statistical Society.
Автор: Nicole Lazar Название: The Statistical Analysis of Functional MRI Data ISBN: 1441926798 ISBN-13(EAN): 9781441926791 Издательство: Springer Рейтинг: Цена: 24456.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is a primer for readers interested in learning more about this fascinating subject and the many statistical challenges inherent in functional neuroimaging data. It presents the basics of technique and surveys popular statistical approaches.
Автор: Zhang, Jin-Ting Название: Analysis of Variance for Functional Data ISBN: 1439862737 ISBN-13(EAN): 9781439862735 Издательство: Taylor&Francis Рейтинг: Цена: 24499.00 р. Наличие на складе: Нет в наличии.
Автор: Ramsay, J.o. Hooker, Giles Graves, Spencer Название: Functional data analysis with r and matlab ISBN: 0387981845 ISBN-13(EAN): 9780387981840 Издательство: Springer Рейтинг: Цена: 8384.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Scientists often collect samples of curves and other functional observations, and develop models where parameters are also functions. This title provides computer code in both the R and Matlab languages for a set of data analyses that showcase functional data analysis techniques.
Автор: Pedro A. Morettin; Alu?sio Pinheiro; Brani Vidakov Название: Wavelets in Functional Data Analysis ISBN: 3319596225 ISBN-13(EAN): 9783319596228 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents wavelets in functional data analysis, offering a glimpse of problems in which they can be applied, including tumor analysis, functional magnetic resonance and meteorological data.
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