Innovations in Multivariate Statistical Modeling, Bekker
Автор: Trevor Hastie; Robert Tibshirani; Jerome Friedman Название: The Elements of Statistical Learning ISBN: 0387848576 ISBN-13(EAN): 9780387848570 Издательство: Springer Рейтинг: Цена: 76850.00 T Наличие на складе: Заказано в издательстве. 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: Dirk P. Kroese; Joshua C.C. Chan Название: Statistical Modeling and Computation ISBN: 149395332X ISBN-13(EAN): 9781493953325 Издательство: Springer Рейтинг: Цена: 93150.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides an introduction to modern statistics. It also offers an integrated treatment of mathematical statistics and statistical computation, emphasizing statistical modeling, computational techniques, and applications.
Автор: Kroese Dirk P Название: Statistical Modeling and Computation ISBN: 1461487749 ISBN-13(EAN): 9781461487746 Издательство: Springer Рейтинг: Цена: 234490.00 T Наличие на складе: Нет в наличии. Описание: This textbook on statistical modeling and statistical inference will assist advanced undergraduate and graduate students. In Part III, the authors address the statistical analysis and computation of various advanced models, such as generalized linear, state-space and Gaussian models.
Автор: Manly Bryan F.J. Название: Multivariate Statistical Methods ISBN: 1498728960 ISBN-13(EAN): 9781498728966 Издательство: Taylor&Francis Рейтинг: Цена: 0.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Multivariate Statistical Methods: A Primer provides an introductory overview of multivariate methods without getting too deep into the mathematical details. This fourth edition is a revised and updated version of this bestselling introductory textbook. It retains the clear and concise style of the previous editions of the book and focuses on examples from biological and environmental sciences. The major update with this edition is that R code has been included for each of the analyses described, although in practice any standard statistical package can be used.
The original idea with this book still applies. This was to make it as short as possible and enable readers to begin using multivariate methods in an intelligent manner. With updated information on multivariate analyses, new references, and R code included, this book continues to provide a timely introduction to useful tools for multivariate statistical analysis.
Автор: Bartolucci Название: Statistical Analysis of Questionnaires ISBN: 1466568496 ISBN-13(EAN): 9781466568495 Издательство: Taylor&Francis Рейтинг: Цена: 91860.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Statistical Analysis of Questionnaires: A Unified Approach Based on R and Stata presents special statistical methods for analyzing data collected by questionnaires. The book takes an applied approach to testing and measurement tasks, mirroring the growing use of statistical methods and software in education, psychology, sociology, and other fields. It is suitable for graduate students in applied statistics and psychometrics and practitioners in education, health, and marketing.
The book covers the foundations of classical test theory (CTT), test reliability, validity, and scaling as well as item response theory (IRT) fundamentals and IRT for dichotomous and polytomous items. The authors explore the latest IRT extensions, such as IRT models with covariates, multidimensional IRT models, IRT models for hierarchical and longitudinal data, and latent class IRT models. They also describe estimation methods and diagnostics, including graphical diagnostic tools, parametric and nonparametric tests, and differential item functioning.
Stata and R software codes are included for each method. To enhance comprehension, the book employs real datasets in the examples and illustrates the software outputs in detail. The datasets are available on the authors' web page.
Автор: Chacon Название: Multivariate Kernel Smoothing And I ISBN: 1498763014 ISBN-13(EAN): 9781498763011 Издательство: Taylor&Francis Рейтинг: Цена: 91860.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Kernel smoothing has greatly evolved since its inception to become an essential methodology in the Data Science tool kit for the 21st century. Its widespread adoption is due to its fundamental role for multivariate exploratory data analysis, as well as the crucial role it plays in composite solutions to complex data challenges.
Автор: Afifi Название: Practical Multivariate Analysis, Si ISBN: 1138702226 ISBN-13(EAN): 9781138702226 Издательство: Taylor&Francis Рейтинг: Цена: 93910.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This is the sixth edition of a popular textbook on multivariate analysis. Well-regarded for its practical and accessible approach, with excellent examples and good guidance on computing, the book is particularly popular for teaching outside statistics, i.e. in epidemiology, social science, business, etc.
Автор: Kedem Benjamin Et Al Название: Statistical Data Fusion ISBN: 9813200189 ISBN-13(EAN): 9789813200180 Издательство: World Scientific Publishing Рейтинг: Цена: 85530.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: 'The book provides a comprehensive review of the DRM approach to data fusion. It is well written and easy to follow, although the technical details are not trivial. The authors did an excellent job in making a concise introduction of the statistical techniques in data fusion. The book contains several real data ... Overall, I found that the book covers an important topic and the DRM is a promising tool in this area. Researchers on data fusion will surely find this book very helpful and I will use this book in studying with my PhD students.'Journal of the American Statistical AssociationThis book comes up with estimates or decisions based on multiple data sources as opposed to more narrowly defined estimates or decisions based on single data sources. And as the world is awash with data obtained from numerous and varied processes, there is a need for appropriate statistical methods which in general produce improved inference by multiple data sources.The book contains numerous examples useful to practitioners from genomics. Topics range from sensors (radars), to small area estimation of body mass, to the estimation of small tail probabilities, to predictive distributions in time series analysis.
Название: Advances in multivariate statistical analysis ISBN: 9048184398 ISBN-13(EAN): 9789048184392 Издательство: Springer Рейтинг: Цена: 234790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The death of Professor K. C. Sreedharan Pillai on June 5, 1985 was a heavy loss to many statisticians all around the world. This volume is dedicated to his memory in recog- nition of his many contributions in multivariate statis- tical analysis. It brings together eminent statisticians Working in multivariate analysis from around the world. The research and expository papers cover a cross-section of recent developments in the field. This volume is especially useful to researchers and to those who want to keep abreast of the latest directions in multivariate statistical analysis. I am grateful to the authors from so many different countries and research institutions who contributed to this volume. I wish to express my appreciation to all those who have reviewed the papers. The list of people include Professors T. C. Chang, So-Hsiang Chou, Dipak K. Dey, Peter Hall, Yu-Sheng Hsu, J. D. Knoke, W. J. Krzanowski, Edsel Pena, Bimal K. Sinha, Dennis L. Young, Drs. K. Krishnamoorthy, D. K. Nagar, and Messrs. Alphonse Amey, Chi-Chin Chao and Samuel Ofori-Nyarko. I wish to thank Professors Shanti S. Gupta and James 0. Berger for their keen interest and encouragement. Thanks are also due to Cynthia Patterson for her help and Reidel Publishing Com any for their cooperation in bringing this volume out.
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: 194730.00 T 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: 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: 139750.00 T 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: H. Bozdogan; S.L. Sclove; Arjun K. Gupta; D. Haugh Название: Proceedings of the First US/Japan Conference on the Frontiers of Statistical Modeling: An Informational Approach ISBN: 0792325982 ISBN-13(EAN): 9780792325987 Издательство: Springer Рейтинг: Цена: 231990.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Often a statistical analysis involves use of a set of alternative models for the data. With model selection the focus can he on simultaneous competition between a hroad dass of competing models rather than on consideration of a sequence of simpler and simpler models.
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