Forecasting and the Social Sciences - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Forecasting and the Social Sciences write by Social Science Research Council (Great Britain). This book was released on 1968. Forecasting and the Social Sciences available in PDF, EPUB and Kindle.
Forecasting and the Social Sciences
Forecasting and the Social Sciences - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Forecasting and the Social Sciences write by Social Science Research Council (United Kingdom). This book was released on 1968. Forecasting and the Social Sciences available in PDF, EPUB and Kindle.
Time Series Analysis for the Social Sciences
Time Series Analysis for the Social Sciences - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Time Series Analysis for the Social Sciences write by Janet M. Box-Steffensmeier. This book was released on 2014-12-22. Time Series Analysis for the Social Sciences available in PDF, EPUB and Kindle. Time series, or longitudinal, data are ubiquitous in the social sciences. Unfortunately, analysts often treat the time series properties of their data as a nuisance rather than a substantively meaningful dynamic process to be modeled and interpreted. Time Series Analysis for the Social Sciences provides accessible, up-to-date instruction and examples of the core methods in time series econometrics. Janet M. Box-Steffensmeier, John R. Freeman, Jon C. Pevehouse and Matthew P. Hitt cover a wide range of topics including ARIMA models, time series regression, unit-root diagnosis, vector autoregressive models, error-correction models, intervention models, fractional integration, ARCH models, structural breaks, and forecasting. This book is aimed at researchers and graduate students who have taken at least one course in multivariate regression. Examples are drawn from several areas of social science, including political behavior, elections, international conflict, criminology, and comparative political economy.
Forecasting in the Social and Natural Sciences
Forecasting in the Social and Natural Sciences - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Forecasting in the Social and Natural Sciences write by Kenneth C. Land. This book was released on 2012-12-06. Forecasting in the Social and Natural Sciences available in PDF, EPUB and Kindle. Social and natural scientists often are called upon to produce, or participate, in the pro duction of forecasts. This volume assembles essays that (a) describe the organizational and political context of applied forecasting, (b) review the state-of-the-art for many fore casting models and methods, and (c) discuss issues of predictability, the implications of forecaSt errors, and model construction, linkage and verification. The essays should be of particular interest to social and natural scientists concerned with forecasting large-scale systems. This project had its origins in discussions of social forecasts and forecasting method ologies initiated a few years ago by several social and natural science members of the Social Science Research Council's Committee on Social Indicators. It became appar ent in these discussions that certain similar problems were confronted in forecasting large-scale systems-be they social or natural. In response, the Committee hypothesized that much could be learned through more extended and systematic interchanges among social and natural scientists focusing on the formal methodologies applied in forecasting. To put this conjecture to the test, the Committee sponsored a conference at the National Center for Atmospheric Research in Boulder, Colorado, on June 10-13, 1984, on forecasting in the social and natural sciences. The conference was co-chaired by Committee members Kenneth C. Land and Stephen H. Schneider representing, respectively, the social and natural science mem bership of the Committee. Support for the conference was provided by a grant to the Council from the Division of Social and Economic Science of the National Science Foundation.
Time Series Analysis in the Social Sciences
Time Series Analysis in the Social Sciences - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Time Series Analysis in the Social Sciences write by Youseop Shin. This book was released on 2017-02-07. Time Series Analysis in the Social Sciences available in PDF, EPUB and Kindle. "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.
