Introduction to Time Series Analysis 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


Introduction to Time Series Analysis

简体网页||繁体网页
Mark Pickup 作者
SAGE Publications, Inc
译者
出版日期
232 页数
USD 22 价格
Paperback
Quantitative Applications in the Social Sciences 丛书系列
9781452282015 图书编码

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发表于2024-11-04


Introduction to Time Series Analysis 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Introduction to Time Series Analysis 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Introduction to Time Series Analysis 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024



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Introduction to Time Series Analysis 在线电子书 著者简介

Mark Pickup is an Assistant Professor in the Department of Political Science at Simon Fraser University. He has taught time series analysis at the Inter-University Consortium for Political and Social Research Summer Training Program since 2010.

Mark is a specialist in Comparative Politics and Political Methodology. Substantively, his research primarily falls into three areas: the economy and democratic accountability; polls and electoral outcomes; and conditions of democratic responsiveness. His research focuses on political information, public opinion, the media, election campaigns and electoral institutions within North American and European countries. His methodological interests concern the analysis of longitudinal data (time series, panel, network, etc.) with a secondary interest in Bayesian analysis. He has published in a variety of leading journals.

Mark holds degrees in Chemical Physics (B.Sc.) and Political Science (B.A., M.A. and Ph.D.). He received his doctoral degree at the University of British Columbia. In addition to his current position at Simon Fraser University, he has been a Lecturer at the University of Nottingham and a Postdoctoral Research Fellow at the University of Oxford.


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Introduction to Time Series Analysis 在线电子书 图书描述

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.

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