Автор: Risto D.H. Heijmans; D.S.G. Pollock; Albert Satorr Название: Innovations in Multivariate Statistical Analysis ISBN: 1461370809 ISBN-13(EAN): 9781461370802 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The three decades which have followed the publication of Heinz Neudecker`s seminal paper `Some Theorems on Matrix Differentiation with Special Reference to Kronecker Products` in the Journal of the American Statistical Association (1969) have witnessed the growing influence of matrix analysis in many scientific disciplines.
Автор: McIntosh, Emma; Clarke, Philip; Frew, Emma; Louvie Название: Applied Methods of Cost-Benefit Analysis in Health Care (Paperback) ISBN: 0199237123 ISBN-13(EAN): 9780199237128 Издательство: Oxford Academ Рейтинг: Цена: 10138.00 р. Наличие на складе: Поставка под заказ.
Описание: This book provides a comprehensive set of instructions and examples of how to perform a cost-benefit analysis (CBA) of a health intervention, with a particular focus on the use of stated preference survey methods to identify consumer preference data and the use of recent developments in cost-effectiveness analysis within a CBA framework.
Описание: This new edition continues to provide basic, comprehensive coverage of key methods in categorical data analysis with multiple variables. Maintaining the same nontechnical, user-friendly approach, coverage has been added to the Second Edition to take the topic of categorical data analysis into a more applied direction.
Автор: J.D. Jobson Название: Applied Multivariate Data Analysis ISBN: 1461269474 ISBN-13(EAN): 9781461269472 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A Second Course in Statistics The past decade has seen a tremendous increase in the use of statistical data analysis and in the availability of both computers and statistical software.
Автор: Simon P. Burke; John Hunter; Alessandra Canepa Название: Multivariate Modelling of Non-Stationary Economic Time Series ISBN: 0230243304 ISBN-13(EAN): 9780230243309 Издательство: Springer Рейтинг: Цена: 27950.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book examines conventional time series in the context of stationary data prior to a discussion of cointegration, with a focus on multivariate models.
Автор: Simon P. Burke; John Hunter; Alessandra Canepa Название: Multivariate Modelling of Non-Stationary Economic Time Series ISBN: 0230243312 ISBN-13(EAN): 9780230243316 Издательство: Springer Рейтинг: Цена: 8384.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book examines conventional time series in the context of stationary data prior to a discussion of cointegration, with a focus on multivariate models.
Автор: Hans-J?rgen Andre?; Katrin Golsch; Alexander W. Sc Название: Applied Panel Data Analysis for Economic and Social Surveys ISBN: 3642434177 ISBN-13(EAN): 9783642434174 Издательство: Springer Рейтинг: Цена: 8384.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Useful for researchers using such household panel studies as GSOEP, BHPS or PSID, this book discusses methods of managing and analyzing panel data. Supplemental data sets and syntax files are provided via the book`s website.
Автор: Corain Название: Ranking Of Multivariate Populations ISBN: 1466505540 ISBN-13(EAN): 9781466505544 Издательство: Taylor&Francis Рейтинг: Цена: 24499.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Ranking of Multivariate Populations: A Permutation Approach with Applications presents a novel permutation-based nonparametric approach for ranking several multivariate populations. Using data collected from both experimental and observation studies, it covers some of the most useful designs widely applied in research and industry investigations, such as multivariate analysis of variance (MANOVA) and multivariate randomized complete block (MRCB) designs.
The first section of the book introduces the topic of ranking multivariate populations by presenting the main theoretical ideas and an in-depth literature review. The second section discusses a large number of real case studies from four specific research areas: new product development in industry, perceived quality of the indoor environment, customer satisfaction, and cytological and histological analysis by image processing. A web-based nonparametric combination global ranking software is also described.
Designed for practitioners and postgraduate students in statistics and the applied sciences, this application-oriented book offers a practical guide to the reliable global ranking of multivariate items, such as products, processes, and services, in terms of the performance of all investigated products/prototypes.
Автор: V?ctor G?mez Название: Multivariate Time Series With Linear State Space Structure ISBN: 331928598X ISBN-13(EAN): 9783319285986 Издательство: Springer Рейтинг: Цена: 13275.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents a comprehensive study of multivariate time serieswith linear state space structure. The strength of the book also lies in the numerous algorithms includedfor state space models that take advantage of the recursive nature of themodels.
Автор: V.I. Serdobolskii Название: Multivariate Statistical Analysis ISBN: 9048155932 ISBN-13(EAN): 9789048155934 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Multivariate Statistical Analysis
Автор: Risto D.H. Heijmans; D.S.G. Pollock; Albert Satorr Название: Innovations in Multivariate Statistical Analysis ISBN: 0792386361 ISBN-13(EAN): 9780792386360 Издательство: Springer Рейтинг: Цена: 29209.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The three decades which have followed the publication of Heinz Neudecker`s seminal paper `Some Theorems on Matrix Differentiation with Special Reference to Kronecker Products` in the Journal of the American Statistical Association (1969) have witnessed the growing influence of matrix analysis in many scientific disciplines.
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