The Analysis of Time Series
An Introduction, Sixth Edition
Chapman and Hall (Publisher)
4th Edition
Published on 25. September 1989
Book
Paperback/Softback
256 pages
978-0-412-31820-7 (ISBN)
Article exhausted; check for reprint
Description
This book provides a comprehensive introduction to the theory and practice of time series analysis.
Topics include o ARIMA probability models o forecasting methods o spectral analysis o linear systems o state-space models o Kalman filter. Building on the success of earlier editions, the fourth edition serves as a valuable text for undergraduates and postgraduates taking courses in time series as well as provides an excellent resource for self-study.
Topics include o ARIMA probability models o forecasting methods o spectral analysis o linear systems o state-space models o Kalman filter. Building on the success of earlier editions, the fourth edition serves as a valuable text for undergraduates and postgraduates taking courses in time series as well as provides an excellent resource for self-study.
More details
Series
Edition
4th New edition
Language
English
Place of publication
London
United Kingdom
Target group
College/higher education
Professional and scholarly
Edition type
New edition
Illustrations
references, index
Weight
336 gr
ISBN-13
978-0-412-31820-7 (9780412318207)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
The Analysis of Time Series
An Introduction, Sixth Edition
Book
04/1996
5th Edition
Chapman & Hall/CRC
€39.60
Article exhausted; check for reprint
Previous edition
Book
07/1984
3rd Edition
Chapman and Hall
€13.56
Article exhausted; check for reprint
Content
Introduction
Simple Descriptive Techniques
Probability Models for Time Series
Estimation in the Time Domain
Forecasting
Stationary Processes in the Frequency Domain
Spectral Analysis
Bivariate Processes
Linear Systems
State-Space Models and the Kalman Filter
Non-Linear Models
Multivariate Time-Series Modelling
Some Other Topics
Appendices
The Fourier, Laplace, and Z Transforms
The Dirac Delta Function
Covariance
Some Worked Examples
Simple Descriptive Techniques
Probability Models for Time Series
Estimation in the Time Domain
Forecasting
Stationary Processes in the Frequency Domain
Spectral Analysis
Bivariate Processes
Linear Systems
State-Space Models and the Kalman Filter
Non-Linear Models
Multivariate Time-Series Modelling
Some Other Topics
Appendices
The Fourier, Laplace, and Z Transforms
The Dirac Delta Function
Covariance
Some Worked Examples