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This powerful, provocative survey is organized around the key issues of Afro-American history: Africa and slavery, family, religion, sex and racism, politics, economics, education, criminal justice, discrimination and protest movements, and black nationalism.
Statistical Methods for Long Term Memory Processes covers the diverse statistical methods and applications for data with long-range dependence. Presenting material that previously appeared only in journals, the author provides a concise and effective overview of probabilistic foundations, statistical methods, and applications. The material emphasizes basic principles and practical applications and provides an integrated perspective of both theory and practice. This book explores data sets from a wide range of disciplines, such as hydrology, climatology, telecommunications engineering, and high-precision physical measurement. The data sets are conveniently compiled in the index, and this allows readers to view statistical approaches in a practical context. Statistical Methods for Long Term Memory Processes also supplies S-PLUS programs for the major methods discussed. This feature allows the practitioner to apply long memory processes in daily data analysis. For newcomers to the area, the first three chapters provide the basic knowledge necessary for understanding the remainder of the material. To promote selective reading, the author presents the chapters independently. Combining essential methodologies with real-life applications, this outstanding volume is and indispensable reference for statisticians and scientists who analyze data with long-range dependence.
Long-memory processes are known to play an important part in many areas of science and technology, including physics, geophysics, hydrology, telecommunications, economics, finance, climatology, and network engineering. In the last 20 years enormous progress has been made in understanding the probabilistic foundations and statistical principles of such processes. This book provides a timely and comprehensive review, including a thorough discussion of mathematical and probabilistic foundations and statistical methods, emphasizing their practical motivation and mathematical justification. Proofs of the main theorems are provided and data examples illustrate practical aspects. This book will be a valuable resource for researchers and graduate students in statistics, mathematics, econometrics and other quantitative areas, as well as for practitioners and applied researchers who need to analyze data in which long memory, power laws, self-similar scaling or fractal properties are relevant.
The author tells the story of a rebellious young slave who, in 1810, attempts to flee a Virginia plantation, and of his father who inadvertently betrays him.
With the prevalence of smartphones, massive data storage, and search engines, we might think of today as the height of the information age. In reality, every era has faced its own challenges of storing, organizing, and accessing information. While they lacked digital devices, our ancestors, when faced with information overload, utilized some of the same techniques that underlie our modern interfaces: they visualized and spatialized data, tying it to the emotional and sensory spaces of memory, thereby turning their minds into a visual interface for accessing information. In Excavating the Memory Palace, Seth David Long mines the history of Europe’s arts of memory to find the origins of today’s data visualizations, unearthing how ancient constructions of cognitive pathways paved the way for modern technological interfaces. Looking to techniques like the memory palace, he finds the ways that information has been tied to sensory and visual experience, turning raw data into lucid knowledge. From the icons of smart phone screens to massive network graphs, Long shows us the ancestry of the cyberscape and unveils the history of memory as a creative act.
Provides a simple exposition of the basic time series material, and insights into underlying technical aspects and methods of proof Long memory time series are characterized by a strong dependence between distant events. This book introduces readers to the theory and foundations of univariate time series analysis with a focus on long memory and fractional integration, which are embedded into the general framework. It presents the general theory of time series, including some issues that are not treated in other books on time series, such as ergodicity, persistence versus memory, asymptotic properties of the periodogram, and Whittle estimation. Further chapters address the general functional central limit theory, parametric and semiparametric estimation of the long memory parameter, and locally optimal tests. Intuitive and easy to read, Time Series Analysis with Long Memory in View offers chapters that cover: Stationary Processes; Moving Averages and Linear Processes; Frequency Domain Analysis; Differencing and Integration; Fractionally Integrated Processes; Sample Means; Parametric Estimators; Semiparametric Estimators; and Testing. It also discusses further topics. This book: Offers beginning-of-chapter examples as well as end-of-chapter technical arguments and proofs Contains many new results on long memory processes which have not appeared in previous and existing textbooks Takes a basic mathematics (Calculus) approach to the topic of time series analysis with long memory Contains 25 illustrative figures as well as lists of notations and acronyms Time Series Analysis with Long Memory in View is an ideal text for first year PhD students, researchers, and practitioners in statistics, econometrics, and any application area that uses time series over a long period. It would also benefit researchers, undergraduates, and practitioners in those areas who require a rigorous introduction to time series analysis.
The Wheel of Time is now an original series on Prime Video, starring Rosamund Pike as Moiraine! With Robert Jordan’s untimely passing in 2007, Brandon Sanderson, the New York Times bestselling author of the Mistborn novels and the Stormlight Archive, was chosen by Jordan’s editor—his wife, Harriet McDougal—to complete the final volume in The Wheel of Time®, later expanded to three books. In A Memory of Light, the fourteenth and concluding novel in Jordan’s #1 New York Times bestselling epic fantasy series, the armies of Light gather to fight in Tarmon Gai’don, the Last Battle, to save the Westland nations from the shadow forces of the Dark One. Rand al’Thor, the Dragon Reborn, is ready to fulfill his destiny. To defeat the enemy that threatens them all, he must convince his reluctant allies that his plan—as foolhardy and dangerous as it appears—is their only chance to stop the Dark One’s ascension and secure a lasting peace. But if Rand’s course of action fails, the world will be engulfed in shadow. Across the land, Mat, Perrin, and Egwene engage in battle with Shadowspawn, Trollocs, Darkfriends, and other creatures of the Blight. Sacrifices are made, lives are lost, but victory is unassured. For when Rand confronts the Dark One in Shayol Ghul, he is bombarded with conflicting visions of the future that reveal there is more at stake for humanity than winning the war. Since its debut in 1990, The Wheel of Time® by Robert Jordan has captivated millions of readers around the globe with its scope, originality, and compelling characters. The last six books in series were all instant #1 New York Times bestsellers, and The Eye of the World was named one of America's best-loved novels by PBS's The Great American Read. The Wheel of Time® New Spring: The Novel #1 The Eye of the World #2 The Great Hunt #3 The Dragon Reborn #4 The Shadow Rising #5 The Fires of Heaven #6 Lord of Chaos #7 A Crown of Swords #8 The Path of Daggers #9 Winter's Heart #10 Crossroads of Twilight #11 Knife of Dreams By Robert Jordan and Brandon Sanderson #12 The Gathering Storm #13 Towers of Midnight #14 A Memory of Light By Robert Jordan and Teresa Patterson The World of Robert Jordan's The Wheel of Time By Robert Jordan, Harriet McDougal, Alan Romanczuk, and Maria Simons The Wheel of Time Companion By Robert Jordan and Amy Romanczuk Patterns of the Wheel: Coloring Art Based on Robert Jordan's The Wheel of Time At the Publisher's request, this title is being sold without Digital Rights Management Software (DRM) applied.