Time Series Analysis in the Social Sciences

The Fundamentals

Author: Youseop Shin

Publisher: Univ of California Press

ISBN: 0520966384

Category: Social Science

Page: 248

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Times Series Analysis in the Social Sciences is a practical and highly readable introduction written exclusively for students and researchers whose mathematical background is limited to basic algebra. The book focuses on fundamental elements of time series analysis that social scientists need to understand so they can employ time series analysis for their research and practice. Through step-by-step explanations and using monthly violent crime rates as case studies, this book explains univariate time series from the preliminary visual analysis through the modeling of seasonality, trends, and residuals, to the evaluation and prediction of estimated models. The book also explains smoothing, multiple time series analysis, and interrupted time series analysis. With a wealth of practical advice and supplemental data sets wherein students can apply their knowledge, this flexible and friendly primer is suitable for all students in the social sciences.

Time Series Analysis for the Social Sciences

Author: Janet M. Box-Steffensmeier,John R. Freeman,Matthew P. Hitt,Jon C. W. Pevehouse

Publisher: Cambridge University Press

ISBN: 1316060500

Category: Political Science

Page: N.A

View: 671

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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.

Longitudinal and Panel Data

Analysis and Applications in the Social Sciences

Author: Edward W. Frees

Publisher: Cambridge University Press

ISBN: 9780521535380

Category: Business & Economics

Page: 467

View: 4353

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An introduction to foundations and applications for quantitatively oriented graduate social-science students and individual researchers.

Time Series Analysis in Meteorology and Climatology

An Introduction

Author: Claude Duchon,Robert Hale

Publisher: John Wiley & Sons

ISBN: 1119960983

Category: Science

Page: 256

View: 2104

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Time Series Analysis in Meteorology and Climatology provides an accessible overview of this notoriously difficult subject. Clearly structured throughout, the authors develop sufficient theoretical foundation to understand the basis for applying various analytical methods to a time series and show clearly how to interpret the results. Taking a unique approach to the subject, the authors use a combination of theory and application to real data sets to enhance student understanding throughout the book. This book is written for those students that have a data set in the form of a time series and are confronted with the problem of how to analyse this data. Each chapter covers the various methods that can be used to carry out this analysis with coverage of the necessary theory and its application. In the theoretical section topics covered include; the mathematical origin of spectrum windows, leakage of variance and understanding spectrum windows. The applications section includes real data sets for students to analyse. Scalar variables are used for ease of understanding for example air temperatures, wind speed and precipitation. Students are encouraged to write their own computer programmes and data sets are provided to enable them to recognize quickly whether their programme is working correctly- one data set is provided with artificial data and the other with real data where the students are required to physically interpret the results of their periodgram analysis. Based on the acclaimed and long standing course at the University of Oklahoma and part of the RMetS Advancing Weather and Climate Science Series, this book is distinct in its approach to the subject matter in that it is written specifically for readers in meteorology and climatology and uses a mix of theory and application to real data sets.

Introduction to Time Series Analysis

Author: Mark Pickup

Publisher: SAGE Publications

ISBN: 1483324540

Category: Social Science

Page: 232

View: 4335

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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

Regression Analysis for the Social Sciences

Author: Rachel A. Gordon

Publisher: Routledge

ISBN: 1136307745

Category: Social Science

Page: 632

View: 8615

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The book provides graduate students in the social sciences with the basic skills that they need to estimate, interpret, present, and publish basic regression models using contemporary standards. Key features of the book include: interweaving the teaching of statistical concepts with examples developed for the course from publicly-available social science data or drawn from the literature. thorough integration of teaching statistical theory with teaching data processing and analysis. teaching of both SAS and Stata "side-by-side" and use of chapter exercises in which students practice programming and interpretation on the same data set and course exercises in which students can choose their own research questions and data set.

Multivariate Time Series Analysis

With R and Financial Applications

Author: Ruey S. Tsay

Publisher: John Wiley & Sons

ISBN: 1118617754

Category: Mathematics

Page: 520

View: 8568

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An accessible guide to the multivariate time series toolsused in numerous real-world applications Multivariate Time Series Analysis: With R and FinancialApplications is the much anticipated sequel coming from one ofthe most influential and prominent experts on the topic of timeseries. Through a fundamental balance of theory and methodology,the book supplies readers with a comprehensible approach tofinancial econometric models and their applications to real-worldempirical research. Differing from the traditional approach to multivariate timeseries, the book focuses on reader comprehension by emphasizingstructural specification, which results in simplified parsimoniousVAR MA modeling. Multivariate Time Series Analysis: With R andFinancial Applications utilizes the freely available Rsoftware package to explore complex data and illustrate relatedcomputation and analyses. Featuring the techniques and methodologyof multivariate linear time series, stationary VAR models, VAR MAtime series and models, unitroot process, factor models, andfactor-augmented VAR models, the book includes: • Over 300 examples and exercises to reinforce thepresented content • User-friendly R subroutines and research presentedthroughout to demonstrate modern applications • Numerous datasets and subroutines to provide readerswith a deeper understanding of the material Multivariate Time Series Analysis is an ideal textbookfor graduate-level courses on time series and quantitative financeand upper-undergraduate level statistics courses in time series.The book is also an indispensable reference for researchers andpractitioners in business, finance, and econometrics.

Chaos and Society

Author: A. Albert

Publisher: IOS Press

ISBN: 9789051992144

Category: Computers

Page: 386

View: 8529

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This publication reflects on the discussion on using chaos theory for the study of society. It explores the interface between chaos theory and the social sciences. A broad variety of fields (including Sociology, Anthropology, Economics, Political Science, Management, Philosophy and Cognitive Sciences) is represented in the book. The leading themes are: Conceptual and Methodological Issues, Social Connectionism and the Connectionist Mind, Social Institutions and Public Policy, and Social Simulations. The book includes the following topics: the relevance of the complexity-chaos paradigm for analyzing social systems, the usefulness of nonlinear dynamics for studying the formation and sustainability of social groups, the comparison between spontaneous social orders and spontaneous biological/natural orders, the building of Artificial Societies, and the contribution of the chaos paradigm to a better understanding and formulation of public policies.

General Theory of Statistics

Author: Victor Aladjev,Valery Haritonov

Publisher: Fultus Corporation

ISBN: 9781596820128

Category: Mathematics

Page: 251

View: 2286

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Book Description fields of social and economic sciences. The book presents a manual on the course General Theory of Statistics, including a series of not quite traditional topics. First of all, it concerns the mathematical bases of statistics and use of computer technologies in statistical probing. Thematic choice of the chapters and sections of the book is caused not only by interests and tastes of the authors, but also by modern tendencies in applied statistics and orientation of the given work. The book is based on a course of lectures given by the first author for undergraduates in social and economic sciences along with three books published in Russian and English in Estonia, Lithuania and Byelorussia. This book has been written for a large enough audience of teachers, researchers, statisticians, students, collegians and users of statistics in behavioral and social sciences. Above all, the book is directed to a wide circle of the readers studying statistical disciplines in high schools and colleges; however, it can be useful also to persons independently studying statistics.

Basic Concepts in the Methodology of the Social Sciences

Author: Johann Mouton,H. C. Marais

Publisher: HSRC Press

ISBN: 9780796906489

Category: Humanities

Page: 276

View: 5529

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This book consists of three major sections. In the first, which includes chapters 1 to 7, the basic concepts of the methodology of the social social sciences are discussed. In the second, chapters 8 and 9, the most important concepts of part one are integrated in discussions on the writing of research proposals and research reports. The third section (appendices) consists of three "case studies" in which the most important methodological principles which were discussed in the preceding sections are illustrated.

Fundamentals of Wavelets

Theory, Algorithms, and Applications

Author: Jaideva C. Goswami,Andrew K. Chan

Publisher: John Wiley & Sons

ISBN: 9780470934647

Category: Computers

Page: 359

View: 5460

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Most existing books on wavelets are either too mathematical or they focus on too narrow a specialty. This book provides a thorough treatment of the subject from an engineering point of view. It is a one-stop source of theory, algorithms, applications, and computer codes related to wavelets. This second edition has been updated by the addition of: a section on "Other Wavelets" that describes curvelets, ridgelets, lifting wavelets, etc a section on lifting algorithms Sections on Edge Detection and Geophysical Applications Section on Multiresolution Time Domain Method (MRTD) and on Inverse problems

Fundamentals of Statistics with Fuzzy Data

Author: Hung T. Nguyen,Berlin Wu

Publisher: Springer

ISBN: N.A

Category: Mathematics

Page: 195

View: 8700

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This book presents basic aspects for a theory of statistics with fuzzy data, together with a set of practical applications. Theories of fuzzy logic and of random closed sets are used as basic ingredients in building statistical concepts and procedures in the context of imprecise data, including coarse data analysis. The book aims at motivating statisticians to examine fuzzy statistics to enlarge the domain of applicability of statistics in general.

The Fundamentals of Political Science Research

Author: Paul M. Kellstedt,Guy D. Whitten

Publisher: Cambridge University Press

ISBN: 052187517X

Category: Political Science

Page: 272

View: 6401

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This textbook introduces the scientific study of politics, supplying students with the basic tools to be critical consumers and producers of scholarly research.

Markov Chains

Analytic and Monte Carlo Computations

Author: Carl Graham

Publisher: John Wiley & Sons

ISBN: 1118882695

Category: Mathematics

Page: 264

View: 9828

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Markov Chains: Analytic and Monte Carlo Computations introduces the main notions related to Markov chains and provides explanations on how to characterize, simulate, and recognize them. Starting with basic notions, this book leads progressively to advanced and recent topics in the field, allowing the reader to master the main aspects of the classical theory. This book also features: Numerous exercises with solutions as well as extended case studies. A detailed and rigorous presentation of Markov chains with discrete time and state space. An appendix presenting probabilistic notions that are necessary to the reader, as well as giving more advanced measure-theoretic notions.

Introduction to Linear Regression Analysis

Author: Douglas C. Montgomery,Elizabeth A. Peck,G. Geoffrey Vining

Publisher: John Wiley & Sons

ISBN: 1119180171

Category: Mathematics

Page: 672

View: 2197

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Praise for the Fourth Edition "As with previous editions, the authors have produced a leadingtextbook on regression." —Journal of the American Statistical Association A comprehensive and up-to-date introduction to thefundamentals of regression analysis Introduction to Linear Regression Analysis, Fifth Editioncontinues to present both the conventional and less common uses oflinear regression in today’s cutting-edge scientificresearch. The authors blend both theory and application to equipreaders with an understanding of the basic principles needed toapply regression model-building techniques in various fields ofstudy, including engineering, management, and the healthsciences. Following a general introduction to regression modeling,including typical applications, a host of technical tools areoutlined such as basic inference procedures, introductory aspectsof model adequacy checking, and polynomial regression models andtheir variations. The book then discusses how transformations andweighted least squares can be used to resolve problems of modelinadequacy and also how to deal with influential observations. TheFifth Edition features numerous newly added topics,including: A chapter on regression analysis of time series data thatpresents the Durbin-Watson test and other techniques for detectingautocorrelation as well as parameter estimation in time seriesregression models Regression models with random effects in addition to adiscussion on subsampling and the importance of the mixedmodel Tests on individual regression coefficients and subsets ofcoefficients Examples of current uses of simple linear regression models andthe use of multiple regression models for understanding patientsatisfaction data. In addition to Minitab, SAS, and S-PLUS, the authors haveincorporated JMP and the freely available R software to illustratethe discussed techniques and procedures in this new edition.Numerous exercises have been added throughout, allowing readers totest their understanding of the material. Introduction to Linear Regression Analysis, Fifth Editionis an excellent book for statistics and engineering courses onregression at the upper-undergraduate and graduate levels. The bookalso serves as a valuable, robust resource for professionals in thefields of engineering, life and biological sciences, and the socialsciences.

Statistical Analysis in Simple Steps Using R

Author: KIRAN. JOSHI PANDYA (PRASHANT. BULSARI, SMRUTI.),Prashant Joshi,Smruti Bulsari

Publisher: N.A

ISBN: 9789352807109

Category:

Page: 288

View: 5047

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An open and dynamic software for statistical analysis, R has become increasingly popular among students and researchers alike for its powerful language and graphical abilities. This book incorporates a step-by-step approach to the basics of statistical tests, the prerequisites and assumptions, the procedures, outputs and their interpretation all through the lens of R. It is a concise guide to procuring and using R, identifying the types of tests to examine different types of research questions, and the sequential steps for undertaking statistical analysis. Intended largely for readers who are new to statistics or R or to both, this textbook addresses the problems in statistical analysis often faced by the students of social science, education, and management.

Tourism Demand Modelling and Forecasting

Author: Haiyan Song,,S.F. Witt

Publisher: Routledge

ISBN: 1136353550

Category: Social Science

Page: 186

View: 3197

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The phenomenal growth of both the world-wide tourism industry and academic interest in tourism over the last thirty years has generated great interest in tourism demand modelling and forecasting from both sectors. However, the tendency for researchers and practitioners engaged in quantitative causal tourism modelling and forecasting to run many regression equations and try to choose the 'best' model based on various parametric and non-parametric criteria has been widely criticised as failing to provide credible results. The aim of this book is to present the recent advances in econometric modelling methodology within the context of tourism demand analysis at a level that is accessible to non-specialists, and to illustrate these new developments with actual tourism applications. The book begins with an introduction to the fundamentals of tourism demand analysis, before addressing the problems of traditional tourism demand modelling and forecasting, i.e. data mining and spurious regression due to common trends in the time series. Three chapters explore the general-to-specific approach to tourism demand modelling and forecasting, including the use of autoregressive distributed lag processes, cointegration analysis and error correction models. The time varying parameter model together with the use of the Kalman filter as an estimation method is a useful tool for examining the effects of regime shifts on tourism demand elasticities: this is explored next. The panel data approach is introduced as a way of overcoming the problem of estimation and forecasting biases caused by insufficient time series data. The book concludes by evaluating the empirical forecasting performance of the various models and putting forward some general conclusions.

Fundamentals of Complementary and Alternative Medicine - E-Book

Author: Marc S. Micozzi

Publisher: Elsevier Health Sciences

ISBN: 1437727050

Category: Medical

Page: 624

View: 6799

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Focusing on emerging therapies and those best supported by clinical trials and scientific evidence, Fundamentals of Complementary and Alternative Medicine describes some of the most prevalent and the fastest-growing CAM therapies in use today. Prominent author Dr. Marc Micozzi provides a complete overview of CAM, creating a solid foundation and context for therapies in current practice. Coverage of systems and therapies includes mind, body, and spirit; traditional Western healing; and traditional ethnomedical systems from around the world. Discussions include homeopathy, massage and manual therapies, chiropractic, a revised chapter on osteopathy, herbal medicine, aromatherapy, naturopathic medicine, and nutrition and hydration. With its wide range of topics, this is the ideal CAM reference for both students and practitioners! An evidence-based approach focuses on treatments best supported by clinical trials and scientific evidence. Coverage of CAM therapies and systems includes those most commonly encountered or growing in popularity, so you carefully evaluate each treatment. Global coverage includes discussions of traditional healing arts from Europe, Asia, Africa, and the Americas. Longevity in the market makes this a classic, trusted text. Expert contributors include well-known writers such as Kevin Ergil, Patch Adams, Joseph Pizzorno, Victor Sierpina, and Marc Micozzi himself. Suggested readings and references in each chapter list the best resources for further research and study. New, expanded organization covers the foundations of CAM, traditional Western healing, and traditional ethnomedical systems from Asia, Africa, and the Americas, putting CAM in perspective and making it easier to understand CAM origins and contexts. NEW content includes legal and operational issues in integrative medicine, creative and expressive arts therapies, ecological pharmacology, hydration, mind-body thought and practice in America, osteopathy, reflexology, South American healing, traditional medicines of India, and Unani medicine. Revised and updated chapters include aromatherapy, classical acupuncture, energy medicine, biophysical devices (electricity, light, and magnetism), massage and touch therapies, traditional osteopathy, reflexology, vitalism, and yoga. New research studies explain how and why CAM therapies work, and also demonstrate that they do work, in areas such as acupuncture, energy healing, and mind-body therapies. Expanded content on basic sciences includes biophysics, ecology, ethnomedicine, neurobiology, and pschoneuroimmunology, providing the scientific background needed to learn and practice CAM and integrative medicine. Expanded coverage of nutrition and hydration includes practical information on Vitamin D and healthy hydration with fluid and electrolytes.