Описание: This is a revision of a classic, seminal, and authoritative book that has been the model for most books on the topic written since 1970. It focuses on practical techniques throughout, rather than a rigorous mathematical treatment of the subject. It explores the building of stochastic (statistical) models for time series and their use in important areas of application forecasting, model specification, estimation, modeling the effects of intervention events, and process control, among others. In addition to meticulous modifications in content and improvements in style, the new edition incorporates several new topics in an effort to modernize the subject matter. These topics include extensive discussions of multivariate time series, smoothing, likelihood function based on the state space model, autoregressive models, structural component models and deterministic seasonal components, and nonlinear and long memory models.
Автор: H.A. de Gans Название: Population Forecasting 1895–1945 ISBN: 0792355377 ISBN-13(EAN): 9780792355373 Издательство: Springer Рейтинг: Цена: 25853.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Suitable for scientists, researchers and students in demography and applied demography, statistics, economy, social geography and urban and regional planning and science studies, this title uncovers the contributions to the description and theory of the demographic transition in the publications of the early innovators of population forecasting.
Автор: Douglas C. Montgomery,Cheryl L. Jennings,Murat Kul Название: Introduction to Time Series Analysis and Forecasting ISBN: 1118745116 ISBN-13(EAN): 9781118745113 Издательство: Wiley Рейтинг: Цена: 18208.00 р. Наличие на складе: Поставка под заказ.
Описание: Praise for the First Edition " [t]he book is great for readers who need to apply the methods and models presented but have little background in mathematics and statistics.
Автор: Jan G. De Gooijer Название: Elements of Nonlinear Time Series Analysis and Forecasting ISBN: 3319432516 ISBN-13(EAN): 9783319432519 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides an overview of the current state-of-the-art of nonlinear time series analysis, richly illustrated with examples, pseudocode algorithms and real-world applications.
Автор: Pritpal Singh Название: Applications of Soft Computing in Time Series Forecasting ISBN: 3319262920 ISBN-13(EAN): 9783319262925 Издательство: Springer Рейтинг: Цена: 15672.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: It reviews and summarizes previous research work in FTS modeling and also provides a brief introduction to other soft-computing techniques, such as artificial neural networks (ANNs), rough sets (RS) and evolutionary computing (EC), focusing on how these techniques can be integrated into different phases of the FTS modeling approach.
Автор: Abdulkader Aljandali Название: Multivariate Methods and Forecasting with IBM® SPSS® Statistics ISBN: 3319564803 ISBN-13(EAN): 9783319564807 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces multivariate regression models and provides examples to help understand theory underpinning the model. The book presents the fundamentals of multivariate regression and then moves on to examine several related techniques that have application in business-orientated fields such as logistic and multinomial regression.
Автор: Anestis Antoniadis; Jean-Michel Poggi; Xavier Bros Название: Modeling and Stochastic Learning for Forecasting in High Dimensions ISBN: 3319187317 ISBN-13(EAN): 9783319187310 Издательство: Springer Рейтинг: Цена: 26552.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The chapters in this volume stress the need for advances in theoretical understanding to go hand-in-hand with the widespread practical application of forecasting in industry.
Автор: Ignacio Rojas; H?ctor Pomares; Olga Valenzuela Название: Advances in Time Series Analysis and Forecasting ISBN: 3319557882 ISBN-13(EAN): 9783319557885 Издательство: Springer Рейтинг: Цена: 20263.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Preface.- Part I: Analysis of Irregularly Sampled Time Series: Techniques, Algorithms and Case Studies.- Scientific Contributions.- Part II: Multi-scale Analysis of Univariate and Multivariate Time Series.- Scientific Contributions.- Part III: Linear and Non-linear Time Series Models.- Scientific Contributions.- Part IV: Advanced Time Series Forecasting Methods.- Scientific Contributions.- Part V: Applications in Time Series Analysis and Forecasting.- Scientific Contributions.- Author Index.
Автор: Ignacio Rojas; H?ctor Pomares Название: Time Series Analysis and Forecasting ISBN: 3319287230 ISBN-13(EAN): 9783319287232 Издательство: Springer Рейтинг: Цена: 20263.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Main Topics:
Time Series Analysis and Forecasting.- Advanced method and on-Line Learning in time series.- High Dimension and Complex/Big Data.- Forecasting in real problem.
Автор: Yuriy Kharin Название: Robustness in Statistical Forecasting ISBN: 3319345680 ISBN-13(EAN): 9783319345680 Издательство: Springer Рейтинг: Цена: 14673.00 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: Peter Hingley; Marc Nicolas Название: Forecasting Innovations ISBN: 3642071538 ISBN-13(EAN): 9783642071539 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is a practical guide to solutions for forecasting demand for services and products in international markets - and much more than just a listing of dry theoretical methods. Leading experts present studies on improving methods for forecasting numbers of incoming patent filings at the European Patent Office.
Автор: Bernd M?ller; Uwe Reuter Название: Uncertainty Forecasting in Engineering ISBN: 3642072054 ISBN-13(EAN): 9783642072055 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Observations of uncertainty in measured data with time improves forecasting capability in a wide range of fields in engineering. Coverage places emphasis on forecasting based on fuzzy random processes as well as forecasting involving fuzzy neuronal networks.
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