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Time series analysis in the social sciences[electronic resource] :the fundamentals /

紀錄類型:	書目-電子資源 : Monograph/item
杜威分類號:	519.55
書名/作者:	Time series analysis in the social sciences : the fundamentals // Youseop Shin.
作者:	Shin, Youseop.
出版者:	Oakland, California : : University of California Press,, 2017.
面頁冊數:	1 online resource (246 p.)
標題:	Social Science.
標題:	Criminology.
ISBN:	0520966384
ISBN:	9780520293168
ISBN:	9780520293175
ISBN:	9780520966383
書目註:	Includes bibliographical references and index.
內容註:	Time series analysis in the social sciences: the fundamentals -- Contents -- Preface -- One: Time Series Analysis in the Social Sciences -- Two: Modeling -- Three: Diagnostics -- Four: Forecasting -- Five: Smoothing -- Six: Time Series Analysis with Two or More Time Series -- Seven: Time Series Analysis as an Impact Analysis Method -- Appendix One: Links to Online Time Series Analysis Program Manuals -- Appendix Two: US Monthly Violent Crime Rates, 1983-2004 -- Appendix Three: Data Resources for Social Science Time Series Analysis -- Appendix Four: Statistical Tables -- Notes -- References -- Index.
摘要、提要註:	"This book focuses on fundamental elements of time-series analysis that social scientists need to understand to employ time-series analysis for their research and practice. Avoiding extraordinary mathematical materials, this book explains univariate time-series analysis step-by-step, from the preliminary visual analysis through the modeling of seasonality, trends, and residuals to the prediction and the evaluation of estimated models. Then, this book explains smoothing, multiple time-series analysis, and interrupted time-series analysis. At the end of each step, this book coherently provides an analysis of the monthly violent-crime rates as an example."--Provided by publisher.
電子資源:	click for full text

Time series analysis in the social sciences[electronic resource] :the fundamentals /
Shin, Youseop.

Time series analysis in the social sciencesthe fundamentals /[electronic resource] :Youseop Shin. - Oakland, California :University of California Press,2017. - 1 online resource (246 p.)

Includes bibliographical references and index.

Time series analysis in the social sciences: the fundamentals -- Contents -- Preface -- One: Time Series Analysis in the Social Sciences -- Two: Modeling -- Three: Diagnostics -- Four: Forecasting -- Five: Smoothing -- Six: Time Series Analysis with Two or More Time Series -- Seven: Time Series Analysis as an Impact Analysis Method -- Appendix One: Links to Online Time Series Analysis Program Manuals -- Appendix Two: US Monthly Violent Crime Rates, 1983-2004 -- Appendix Three: Data Resources for Social Science Time Series Analysis -- Appendix Four: Statistical Tables -- Notes -- References -- Index.

"This book focuses on fundamental elements of time-series analysis that social scientists need to understand to employ time-series analysis for their research and practice. Avoiding extraordinary mathematical materials, this book explains univariate time-series analysis step-by-step, from the preliminary visual analysis through the modeling of seasonality, trends, and residuals to the prediction and the evaluation of estimated models. Then, this book explains smoothing, multiple time-series analysis, and interrupted time-series analysis. At the end of each step, this book coherently provides an analysis of the monthly violent-crime rates as an example."--Provided by publisher.

ISBN: 0520966384Subjects--Topical Terms:

374235
Social Science.

LC Class. No.: QA280

Dewey Class. No.: 519.55

Time series analysis in the social sciences[electronic resource] :the fundamentals /
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520 3 $a "This book focuses on fundamental elements of time-series analysis that social scientists need to understand to employ time-series analysis for their research and practice. Avoiding extraordinary mathematical materials, this book explains univariate time-series analysis step-by-step, from the preliminary visual analysis through the modeling of seasonality, trends, and residuals to the prediction and the evaluation of estimated models. Then, this book explains smoothing, multiple time-series analysis, and interrupted time-series analysis. At the end of each step, this book coherently provides an analysis of the monthly violent-crime rates as an example."--Provided by publisher.
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