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Modeling and Forecasting Electricity Demand, Kevin Berk


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Цена: 11753.00р.
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Автор: Kevin Berk
Название:  Modeling and Forecasting Electricity Demand
ISBN: 9783658086688
Издательство: Springer
Классификация:

ISBN-10: 3658086688
Обложка/Формат: Soft cover
Страницы: 115
Вес: 0.18 кг.
Дата издания: 30.01.2015
Серия: BestMasters
Язык: English
Издание: 2015 ed.
Иллюстрации: 39 black & white illustrations, 21 black & white tables, biography
Размер: 210 x 148 x 8
Читательская аудитория: General (us: trade)
Основная тема: Energy Policy, Economics and Management
Подзаголовок: A Risk Management Perspective
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: The master thesis of Kevin Berk develops a stochastic model for the electricity demand of small and medium-sized companies that is flexible enough so that it can be used for various business sectors. As a consequence, forecasting electricity load and its risk is now an integral component of the risk management for all market participants.


Forecasting, structural time series models and the kalman filter

Автор: Harvey, Andrew C.
Название: Forecasting, structural time series models and the kalman filter
ISBN: 0521405734 ISBN-13(EAN): 9780521405737
Издательство: Cambridge Academ
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Цена: 6018.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book is concerned with modelling economic and social time series and with addressing the special problems which the treatment of such series pose. It is unique in its use of Kalman filtering with econometric and time series modelling.

Structural Equation Modeling With AMOS

Автор: Byrne
Название: Structural Equation Modeling With AMOS
ISBN: 1138797030 ISBN-13(EAN): 9781138797031
Издательство: Taylor&Francis
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Цена: 8879.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This bestselling text provides a practical guide to structural equation modeling (SEM) using the Amos Graphical approach. Using clear, everyday language, the text is ideal for those with little to no exposure to either SEM or Amos.

Forecasting with Exponential Smoothing

Автор: Hyndman
Название: Forecasting with Exponential Smoothing
ISBN: 3540719164 ISBN-13(EAN): 9783540719168
Издательство: Springer
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Цена: 13974.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: However, a modeling framework incorporating stochastic models, likelihood calculation, prediction intervals and procedures for model selection, was not developed until recently. More advanced topics are covered in Part 3, including the mathematical properties of the models and extensions of the models for specific problems.

Statistical Demography and Forecasting

Автор: Alho
Название: Statistical Demography and Forecasting
ISBN: 0387225382 ISBN-13(EAN): 9780387225388
Издательство: Springer
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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.

Introduction to Time Series Analysis and 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
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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.

Time Series Analysis: Forecasting and Control, 4th Edition

Автор: Box G. E. P.
Название: Time Series Analysis: Forecasting and Control, 4th Edition
ISBN: 0470272848 ISBN-13(EAN): 9780470272848
Издательство: Wiley
Рейтинг:
Цена: 18533.00 р.
Наличие на складе: Поставка под заказ.

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.

Elements of Nonlinear Time Series Analysis and Forecasting

Автор: Jan G. De Gooijer
Название: Elements of Nonlinear Time Series Analysis and Forecasting
ISBN: 3319432516 ISBN-13(EAN): 9783319432519
Издательство: Springer
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Цена: 18167.00 р.
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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.

Probabilistic Forecasting and Bayesian Data Assimilation

Автор: Reich
Название: Probabilistic Forecasting and Bayesian Data Assimilation
ISBN: 1107069394 ISBN-13(EAN): 9781107069398
Издательство: Cambridge Academ
Рейтинг:
Цена: 19325.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book focuses on the Bayesian approach to data assimilation, outlining the subject`s key ideas and concepts, and explaining how to implement specific data assimilation algorithms. It is an ideal introduction for graduate students in applied mathematics, computer science, engineering, geoscience and other emerging application areas.

Forecasting, structural time series models, and the kalman filter

Автор: Harvey, A.c.
Название: Forecasting, structural time series models, and the kalman filter
ISBN: 0521321964 ISBN-13(EAN): 9780521321969
Издательство: Cambridge Academ
Рейтинг:
Цена: 21384.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book is concerned with modelling economic and social time series and with addressing the special problems which the treatment of such series pose. It is unique in its use of Kalman filtering with econometric and time series modelling.


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