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Time Series, David R. Brillinger



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Автор: David R. Brillinger
Название:  Time Series
Перевод названия: Временной ряд
ISBN: 9780898715019
Издательство: Eurospan
Классификация:
ISBN-10: 0898715016
Обложка/Формат: Paperback
Страницы: 570
Вес: 0.719 кг.
Дата издания: 01.01.2008
Серия: Classics in Applied Mathematics
Издание: New ed
Иллюстрации: Illustrations
Размер: 228 x 154 x 29
Читательская аудитория: Professional & vocational
Подзаголовок: Data analysis and theory
Ссылка на Издательство: Link
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Поставляется из: Англии



Time Series Analysis

Автор: Hamilton, James
Название: Time Series Analysis
ISBN: 0691042896 ISBN-13(EAN): 9780691042893
Издательство: Wiley
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Цена: 11798 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: A graduate-level text which describes the recent dramatic changes that have taken place in the way that researchers analyze economic and financial time series. It explores such important innovations as vector regression, nonlinear time series models and the generalized methods of moments.

Time Series Analysis by State Space Methods

Автор: Durbin, James; Koopman, Siem Jan
Название: Time Series Analysis by State Space Methods
ISBN: 019964117X ISBN-13(EAN): 9780199641178
Издательство: Oxford Academ
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Цена: 13739 р.
Наличие на складе: Невозможна поставка.

Описание: This new edition updates Durbin & Koopman`s important text on the state space approach to time series analysis providing a more comprehensive treatment, including the filtering of nonlinear and non-Gaussian series. The book provides an excellent source for the development of practical courses on time series analysis.

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: 9398 р.
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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.

Multivariate Time Series Analysis: With R and Financial Applications

Автор: Ruey S. Tsay
Название: Multivariate Time Series Analysis: With R and Financial Applications
ISBN: 1118617908 ISBN-13(EAN): 9781118617908
Издательство: Wiley
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Цена: 20147 р.
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Описание: An accessible guide to the multivariate time series tools used in numerous real-world applications Multivariate Time Series Analysis: With R and Financial Applications is the much anticipated sequel coming from one of the most influential and prominent experts on the topic of time series.

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: 19421 р.
Наличие на складе: Есть у поставщика 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." ?€“MAA ReviewsThoroughly updated throughout, Introduction to Time Series Analysis

Time Series Analysis for the Social Sciences

Автор: Box-Steffensmeier
Название: Time Series Analysis for the Social Sciences
ISBN: 0521691559 ISBN-13(EAN): 9780521691550
Издательство: Cambridge Academ
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Цена: 4698 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Time series, or longitudinal, data are ubiquitous in the social sciences. Unfortunately, analysts often treat the time series properties of their data as a nuisance rather than a substantively meaningful dynamic process to be modeled and interpreted. Time Series Analysis for the Social Sciences provides accessible, up-to-date instruction and examples of the core methods in time series econometrics. Janet M. Box-Steffensmeier, John R. Freeman, Jon C. Pevehouse and Matthew P. Hitt cover a wide range of topics including ARIMA models, time series regression, unit-root diagnosis, vector autoregressive models, error-correction models, intervention models, fractional integration, ARCH models, structural breaks, and forecasting. This book is aimed at researchers and graduate students who have taken at least one course in multivariate regression. Examples are drawn from several areas of social science, including political behavior, elections, international conflict, criminology, and comparative political economy.

An Introduction to State Space Time Series Analysis

Автор: Commandeur, Jacques J.F.; Koopman, Siem Jan
Название: An Introduction to State Space Time Series Analysis
ISBN: 0199228876 ISBN-13(EAN): 9780199228874
Издательство: Oxford Academ
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Цена: 9762 р.
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Описание: This text provides an introduction to time series analysis using state space methodology to readers who are neither familiar with time series analysis, nor with state space methods. This is the first in a series of books designed to provide practitioners, researchers, and students with practical introductions to various topics in econometrics.

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
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Цена: 21236 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.

Книга  "Periodic Time Series Models " на английском языке/ Авторы P. Franses and R. Paap

Название: Книга "Periodic Time Series Models " на английском языке/ Авторы P. Franses and R. Paap
ISBN: 0199242038 ISBN-13(EAN): 9780199242030
Издательство: Oxford Academ
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Цена: 12835 р.
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Описание: This up-to-date study of the use of periodic models in the description and forecasting of economic data incorporates developments in the field. The authors investigate such areas as seasonal time series; periodic time series models; periodic integration; and periodic co integration.

Periodic Time Series Models

Автор: Franses, Philip H.;Paap, Richard
Название: Periodic Time Series Models
ISBN: 019924202X ISBN-13(EAN): 9780199242023
Издательство: Oxford Academ
Рейтинг:
Цена: 21241 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: In this modern study of the use of periodic models in the description and forecasting of economic data the authors investigate such areas as seasonal time series, periodic time series models, periodic integration and periodic cointegration.

Periodicity and Stochastic Trends in Economic Time Series

Автор: Franses, Philip Hans
Название: Periodicity and Stochastic Trends in Economic Time Series
ISBN: 0198774540 ISBN-13(EAN): 9780198774549
Издательство: Oxford Academ
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Цена: 11208 р.
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Описание: This text provides a self-contained account of periodic models for seasonally observed economic time series with stochastic trends. The analysis considers econometric theory, Monte Carlo simulation and forecasting, and it is illuminated with empirical time series.

Analysis of Financial Time Series

Автор: Ruey Tsay
Название: Analysis of Financial Time Series
ISBN: 0470414359 ISBN-13(EAN): 9780470414354
Издательство: Wiley
Рейтинг:
Цена: 20691 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Analysis of Financial Time Series, Third Edition provides a broad, mature, and systematic introduction to current financial econometric models and their applications to modeling and prediction of financial time series data. It utilizes real-world examples and real financial data throughout the book to apply the models and methods described.


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