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Introduction to Time Series - Paperback, by Pickup Mark Alexander - New h
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eBay item number:126295201418
Item specifics
- Condition
- Book Title
- Introduction to Time Series Analysis (Quantitative Applications i
- ISBN
- 9781452282015
- Subject Area
- Mathematics, Social Science
- Publication Name
- Introduction to Time Series Analysis
- Publisher
- SAGE Publications, Incorporated
- Item Length
- 8.5 in
- Subject
- Research, Probability & Statistics / Time Series, Statistics
- Publication Year
- 2014
- Series
- Quantitative Applications in the Social Sciences Ser.
- Type
- Textbook
- Format
- Trade Paperback
- Language
- English
- Item Height
- 0.5 in
- Item Weight
- 9.6 Oz
- Item Width
- 5.5 in
- Number of Pages
- 232 Pages
About this product
Product Identifiers
Publisher
SAGE Publications, Incorporated
ISBN-10
1452282013
ISBN-13
9781452282015
eBay Product ID (ePID)
202789380
Product Key Features
Number of Pages
232 Pages
Publication Name
Introduction to Time Series Analysis
Language
English
Publication Year
2014
Subject
Research, Probability & Statistics / Time Series, Statistics
Type
Textbook
Subject Area
Mathematics, Social Science
Series
Quantitative Applications in the Social Sciences Ser.
Format
Trade Paperback
Dimensions
Item Height
0.5 in
Item Weight
9.6 Oz
Item Length
8.5 in
Item Width
5.5 in
Additional Product Features
Intended Audience
College Audience
LCCN
2014-031504
Reviews
This volume does an excellent job of introducing modern time series analysis to social scientists (especially political scientists) who are already familiar with basic statistics and the general linear model., This volume does an excellent jobof introducing modern time series analysis to social scientists who are already familiar with basic statistics and the general linear model., "This volume does an excellent job of introducing modern time series analysis to social scientists who are already familiar with basic statistics and the general linear model." -- William G. Jacoby, Michigan State University, This volume does an excellent job of introducing modern time series analysis to social scientists who are already familiar with basic statistics and the general linear model. It introduces the kinds of terminology that one is likely to hear in discussions of time-series data and methods, and explains the content and implications of the terms in a manner that is nicely comprehensible to those who have not been exposed previously to time series analysis.
Dewey Edition
23
Series Volume Number
174
Illustrated
Yes
Dewey Decimal
300.151955
Table Of Content
PREFACEACKNOWLEDGEMENTSABOUT THE AUTHORSERIES EDITORS INTRODUCTION1. Thinking Time-serially2. Fundamental Concepts in Time Series Analysis3. Static Time Series Models and Ordinary Least Squares Estimation4. Introducing Dynamic Time Series Models5. Autoregressive Moving Average (ARMA) Models6. Models for Integrated and Cointegrated DataConclusion
Synopsis
Introducing time series methods and their application in social science research, this practical guide to time series models is the first in the field written for a non-econometrics audience. Giving readers the tools they need to apply models to their own research, this unique book demonstrates the use of--and the assumptions underlying--common models of time series data, including finite distributed lag; autoregressive distributed lag; moving average; differenced data; and GARCH, ARMA, ARIMA, and error correction models., Introducing time series methods and their application in social science research, this practical guide to time series models is the first in the field written for a non-econometrics audience. Giving readers the tools they need to apply models to their own research, Introduction to Time Series Analysis, by Mark Pickup, demonstrates the use of--and the assumptions underlying--common models of time series data including finite distributed lag; autoregressive distributed lag; moving average; differenced data; and GARCH, ARMA, ARIMA, and error correction models. "This volume does an excellent job of introducing modern time series analysis to social scientists who are already familiar with basic statistics and the general linear model." --William G. Jacoby, Michigan State University, Introducing time series methods and their application in social science research, this practical guide to time series models is the first in the field written for a non-econometrics audience. Giving readers the tools they need to apply models to their own research, this unique book demonstrates the use of-and the assumptions underlying-common models of time series data, including finite distributed lag; autoregressive distributed lag; moving average; differenced data; and GARCH, ARMA, ARIMA, and error correction models., Approaching the topic from the perspective of the social scientist interested in hypothesis-testing, this volume is an introduction to time-series methods and their application in social science research., The most commonly used time series models are demonstrated to give readers the tools necessary to apply them to their own research.
LC Classification Number
HA30.3.P53 2014
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