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An Introduction to Time Series Analysis and Forecasting
Providing a clear explanation of the fundamental theory of time series analysis and forecasting, this book couples theory with applications of two popular statistical packages--SAS and SPSS. The text examines moving average, exponential smoothing, Census X-11 deseasonalization, ARIMA, intervention, transfer function, and autoregressive error models and has brief discussions of ARCH and GARCH models. The book features treatments of forecast improvement with regression and autoregression combination models and model and forecast evaluation, along with a sample size analysis for common time series models to attain adequate statistical power. The careful linkage of the theoretical constructs with the practical considerations involved in utilizing the statistical packages makes it easy for the user to properly apply these techniques. - Describes principal approaches to time series analysis and forecasting - Presents examples from public opinion research, policy analysis, political science, economics, and sociology - Math level pitched to general social science usage - Glossary makes the material accessible for readers at all levels
Parallel and Distributed Processing and Applications
The refereed proceedings of the International Symposium on Parallel and Distributed Processing and Applications, ISPA 2003, held in Aizu, Japan in July 2003. The 30 revised full papers and 9 revised short papers presented together with abstracts of 4 keynotes were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on applications on Web-based and intranet systems, compiler and optimization techniques, network routing, performance evaluation of parallel systems, wireless communication and mobile computing, parallel topology, data mining and evolutionary computing, image processing and modeling, network security, and database and multimedia systems.
Hitler's Jewish Soldiers
On the murderous road to "racial purity" Hitler encountered unexpected detours, largely due to his own crazed views and inconsistent policies regarding Jewish identity. After centuries of Jewish assimilation and intermarriage in German society, he discovered that eliminating Jews from the rest of the population was more difficult than he'd anticipated. As Bryan Rigg shows in this provocative new study, nowhere was that heinous process more fraught with contradiction and confusion than in the German military. Contrary to conventional views, Rigg reveals that a startlingly large number of German military men were classified by the Nazis as Jews or "partial-Jews" (Mischlinge), in the wake of ra...
Statistics
Statistics: Unlocking the Power of Data, 3rd Edition is designed for an introductory statistics course focusing on data analysis with real-world applications. Students use simulation methods to effectively collect, analyze, and interpret data to draw conclusions. Randomization and bootstrap interval methods introduce the fundamentals of statistical inference, bringing concepts to life through authentically relevant examples. More traditional methods like t-tests, chi-square tests, etc. are introduced after students have developed a strong intuitive understanding of inference through randomization methods. While any popular statistical software package may be used, the authors have created StatKey to perform simulations using data sets and examples from the text. A variety of videos, activities, and a modular chapter on probability are adaptable to many classroom formats and approaches.
Time Series Analysis for the Social Sciences
This book provides instruction and examples of the core methods in time series econometrics, drawing from several main fields of the social sciences.
Party Communication in Routine Times of Politics
Simona Bevern addresses the questions what and why political parties communicate in the time between elections, focusing on the dynamic rise and fall of policy issues. Despite the central role of political parties and the alleged importance of communication, only few scholars have taken a closer look at the content and dynamics of parties’ communication in routine times of politics. In this study, interactions between parties’ communication, their party competitors, the legislative agenda and public opinion are studied in Germany for the years 2004–2009, making use of a novel data set and quantitative methods.
Maps for Time Travelers
Popular culture is rife with movies, books, and television shows that address our collective curiosity about what the world was like long ago. From historical dramas to science fiction tales of time travel, audiences love stories that reimagine the world before our time. But what if there were a field that, through the advancements in technology, could bring us closer to the past than ever before? Written by a preeminent expert in geospatial archaeology, Maps for Time Travelers is a guide to how technology is revolutionizing the way archaeologists study and reconstruct humanity’s distant past. From satellite imagery to 3D modeling, today archaeologists are answering questions about human history that could previously only be imagined. As archaeologists create a better and more complete picture of the past, they sometimes find that truth is stranger than fiction.
Multivariate Density Estimation
Clarifies modern data analysis through nonparametric density estimation for a complete working knowledge of the theory and methods Featuring a thoroughly revised presentation, Multivariate Density Estimation: Theory, Practice, and Visualization, Second Edition maintains an intuitive approach to the underlying methodology and supporting theory of density estimation. Including new material and updated research in each chapter, the Second Edition presents additional clarification of theoretical opportunities, new algorithms, and up-to-date coverage of the unique challenges presented in the field of data analysis. The new edition focuses on the various density estimation techniques and methods t...
Biological Data Mining
Like a data-guzzling turbo engine, advanced data mining has been powering post-genome biological studies for two decades. Reflecting this growth, Biological Data Mining presents comprehensive data mining concepts, theories, and applications in current biological and medical research. Each chapter is written by a distinguished team of interdisciplin
