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Time-Series Forecasting Hardcover Chris Chatfield

Free US Delivery | ISBN:1584880635
US $36.47
Condition:
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Former library book; may include library markings. Used book that is in excellent condition. May ... Read moreabout condition
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Item specifics

Condition
Very Good
A book that does not look new and has been read but is in excellent condition. No obvious damage to the cover, with the dust jacket (if applicable) included for hard covers. No missing or damaged pages, no creases or tears, and no underlining/highlighting of text or writing in the margins. May be very minimal identifying marks on the inside cover. Very minimal wear and tear. See the seller’s listing for full details and description of any imperfections. See all condition definitionsopens in a new window or tab
Seller Notes
“Former library book; may include library markings. Used book that is in excellent condition. May ...
Features
EX-LIBRARY
Book Title
Time-Series Forecasting Hardcover Chris Chatfield
ISBN
9781584880639
Subject Area
Business & Economics, Mathematics, Social Science
Publication Name
Time-Series Forecasting
Publisher
CRC Press LLC
Item Length
9.5 in
Subject
Finance / General, Probability & Statistics / General, Future Studies, General, Probability & Statistics / Time Series
Publication Year
2000
Type
Textbook
Format
Hardcover
Language
English
Item Height
0.9 in
Author
Chris Chatfield
Item Weight
20.5 Oz
Item Width
6.4 in
Number of Pages
280 Pages

About this product

Product Information

From the author of the bestselling "Analysis of Time Series," Time-Series Forecasting offers a comprehensive review of forecasting methods. It provides a summary of time-series modelling procedures followed by a brief catalogue of many different time-series forecasting methods, ranging from ad-hoc methods through ARIMA and state-space modelling to multivariate methods, including a number of recent arrivals. This work provides an outstanding source for the more generally applicable methods particularly useful to researchers and practitioners forecasting in the areas of economics, government, industry, and commerce.

Product Identifiers

Publisher
CRC Press LLC
ISBN-10
1584880635
ISBN-13
9781584880639
eBay Product ID (ePID)
1806977

Product Key Features

Number of Pages
280 Pages
Language
English
Publication Name
Time-Series Forecasting
Publication Year
2000
Subject
Finance / General, Probability & Statistics / General, Future Studies, General, Probability & Statistics / Time Series
Type
Textbook
Subject Area
Business & Economics, Mathematics, Social Science
Author
Chris Chatfield
Format
Hardcover

Dimensions

Item Height
0.9 in
Item Weight
20.5 Oz
Item Length
9.5 in
Item Width
6.4 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
00-050843
Illustrated
Yes
Lc Classification Number
Qa280.C42 2001
Table of Content
INTRODUCTION Types of Forecasting Methods Some Preliminary Questions The Dangers of Extrapolation Are Forecasts Genuinely Out-of-Sample? Brief Overview of Relevant Literature BASICS OF TIME-SERIES ANALYSIS Different Types of Time Series Objectives of Time-Series Analysis Simple Descriptive Techniques Stationary Stochastic Processes Some Classes of Univariate Time-Series Models The Correlogram UNIVARIATE TIME-SEIES MODELLING ARIMA Models and Related Topics State Space Models Growth Curve Models Nonlinear Models Time-Series Model Building UNIVARIATE FORECASTING METHODS The Prediction Problem Model-Based Forecasting Ad Hoc Forecasting Methods Some Interrelationships and Combinations MULTIVARIATE FORECASTING METHODS Introduction Single-Equation Models Vector AR and ARMA Models Cointegration Econometric models Other Approaches Some Relationships Between Models A COMPARATIVE ASSESSMENT OF FORECASTING METHODS Introduction Criteria for Choosing a Forecasting Method Measuring Forecast Accuracy Forecasting Competitions and Case Studies Choosing an Appropriate Forecasting Method Summary CALCULATING INTERVAL FORECASTS Introduction Notation The Need for Different Approaches Expected Mean Square Prediction Error Procedures for Calculating P.I.s A Comparative Assessment Why are P.I.s too Narrow? An Example Summary and Recommendations MODEL UNCERTAINTY AND FORECAST ACCURACY Introduction to Model Uncertainty Model Building and Data Dredging Examples Inference after Model Selection: Some Findings Coping with Model Uncertainty Summary and Discussion REFERENCES
Copyright Date
2001

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