Robustness in Statistical Forecasting, Yuriy Kharin
Автор: Y. Kharin Название: Robustness in Statistical Pattern Recognition ISBN: 0792342674 ISBN-13(EAN): 9780792342670 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Focuses on the problems of robust (stable) statistical pattern recognition. This volume is intended for mathematicians, statisticians, and engineers in applied mathematics, computer science and cybernetics. It is also useful as a textbook for a one-semester course for advanced undergraduate and graduate students training in the indicated fields.
Автор: Dieter Rasch; Moti Lal Tiku Название: Robustness of Statistical Methods and Nonparametric Statistics ISBN: 9400965303 ISBN-13(EAN): 9789400965300 Издательство: Springer Рейтинг: Цена: 11173.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Y. Kharin Название: Robustness in Statistical Pattern Recognition ISBN: 9048147603 ISBN-13(EAN): 9789048147601 Издательство: Springer Рейтинг: Цена: 20257.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: At the first stage, until the middle of the 1970s, pattern recogni- tion theory was replenished mainly from adjacent mathematical disciplines: mathe- matical statistics, functional analysis, discrete mathematics, and information theory.
Автор: Alho Название: Statistical Demography and Forecasting ISBN: 0387225382 ISBN-13(EAN): 9780387225388 Издательство: Springer Рейтинг: Цена: 21661.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Sustainability of pension systems, intergeneration fiscal equity under population aging, and accounting for health care benefits for future retirees are examples of problems that cannot be solved without understanding the nature of population forecasts and their uncertainty. Similarly, the accuracy of population estimates directly affects both the distributions of formula-based government allocations to sub-national units and the apportionment of political representation. The book develops the statistical foundation for addressing such issues. Areas covered include classical mathematical demography, event history methods, multi-state methods, stochastic population forecasting, sampling and census coverage, and decision theory. The methods are illustrated with empirical applications from Europe and the U.S.For statisticians the book provides a unique introduction to demographic problems in a familiar language. For demographers, actuaries, epidemiologists, and professionals in related fields, the book presents a unified statistical outlook on both classical methods of demography and recent developments. To facilitate its classroom use, exercises are included. Over half of the book is readily accessible to undergraduates, but more maturity may be required to benefit fully from the complete text. Knowledge of differential and integral calculus, matrix algebra, basic probability theory, and regression analysis is assumed.
Автор: Yuriy Kharin Название: Robustness in Statistical Forecasting ISBN: 3319008390 ISBN-13(EAN): 9783319008394 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book examines robustness of time series forecasting. It evaluates sensitivity of the forecast risks to distortions and presents new robust forecasting procedures.
Автор: Andrea Garulli; Alberto Tesi; Antonio Vicino Название: Robustness in Identification and Control ISBN: 1852331798 ISBN-13(EAN): 9781852331795 Издательство: Springer Рейтинг: Цена: 12157.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book comprises a selection of papers that were first presented at the Robustness in Identification and Control Workshop, held in Siena, July 30 - August 2, 1998. Papers cover recent developments in research areas such as identification for control and the classical area of robust control.
Автор: Claudia Becker; Roland Fried; Sonja Kuhnt Название: Robustness and Complex Data Structures ISBN: 3642354939 ISBN-13(EAN): 9783642354939 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presented in honor of Ursula Gather`s 60th birthday this book deals with modern topics in the field of robust statistical methods, especially for time series and regression analysis, and with statistical methods for complex data structures.
Автор: Claudia Becker; Roland Fried; Sonja Kuhnt Название: Robustness and Complex Data Structures ISBN: 3642443869 ISBN-13(EAN): 9783642443862 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presented in honor of Ursula Gather`s 60th birthday this book deals with modern topics in the field of robust statistical methods, especially for time series and regression analysis, and with statistical methods for complex data structures.
Описание: Probabilistic Design for Optimization and Robustness: * Presents the theory of modeling with variation using physical models and methods for practical applications on designs more insensitive to variation. * Provides a comprehensive guide to optimization and robustness for probabilistic design.
Автор: Marat Ibragimov; Rustam Ibragimov; Johan Walden Название: Heavy-Tailed Distributions and Robustness in Economics and Finance ISBN: 3319168762 ISBN-13(EAN): 9783319168760 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book focuses on general frameworks for modeling heavy-tailed distributions in economics, finance, econometrics, statistics, risk management and insurance. These results motivate the development and applications of robust inference approaches under heavy tails, heterogeneity and dependence in observations.
Описание: In 1984, the University of Bonn (FRG) and the International Institute for Applied System Analysis (IIASA) in Laxenburg (Austria), created a joint research group to analyze the relationship between economic growth and structural change.
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