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| Author | : Mary Frances Berry |
| Publisher | : OUP USA |
| Total Pages | : 512 |
| Release | : 1997-08-14 |
| Genre | : History |
| ISBN | : 9780195029109 |
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.
| Author | : Jan Beran |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 892 |
| Release | : 2013-05-14 |
| Genre | : Mathematics |
| ISBN | : 3642355129 |
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.
| Author | : Jan Beran |
| Publisher | : CRC Press |
| Total Pages | : 336 |
| Release | : 1994-10-01 |
| Genre | : Mathematics |
| ISBN | : 9780412049019 |
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.
| Author | : Uwe Hassler |
| Publisher | : John Wiley & Sons |
| Total Pages | : 361 |
| Release | : 2018-09-07 |
| Genre | : Mathematics |
| ISBN | : 1119470420 |
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.
| Author | : Wolfgang Klimesch |
| Publisher | : Psychology Press |
| Total Pages | : 244 |
| Release | : 2013-05-13 |
| Genre | : Psychology |
| ISBN | : 1134777701 |
How is information stored and retrieved from long-term memory? It is argued that any systematic attempt to answer this question should be based on a particular set of specific representational assumptions that have led to the development of a new memory theory -- the connectivity model. One of the crucial predictions of this model is that, in sharp contrast to traditional theories, the speed of processing information increases as the amount and complexity of integrated knowledge increases. In this volume, the predictions of the model are examined by analyzing the results of a variety of different experiments and by studying the outcome of the simulation program CONN1, which illustrates the representation of complex semantic structures. In the final chapter, the representational assumptions of the connectivity model are evaluated on the basis of neuroanatomical and physiological evidence -- suggesting that neuroscience provides valuable knowledge which should guide the development of memory theories.
| Author | : Adam Nossiter |
| Publisher | : Da Capo Press |
| Total Pages | : 342 |
| Release | : 2009-06-16 |
| Genre | : History |
| ISBN | : 0786748486 |
The history is well known: On June 12, 1963, Mississippi's courageous NAACP chief, Medgar Evers, was gunned down by white supremacist Byron de la Beckwith. Tried twice by all-white juries, Beckwith escaped conviction for three decades. But then Mississippi began to confront its tormented past. And in the 1990s, when Beckwith was sent to jail by a crusading young prosecutor, the family of Medgar Evers finally got justice. Hailed as a New York Times Notable Book of the Year and a finalist for the Lillian Smith Award, Of Long Memory reveals how this remarkable reversal took place. Nossiter uses the tools of memory, history, and reportage—and the clear vantage point of an outsider, a Northerner—to portray an entire state quite literally summoning up its ghosts. A new epilogue discusses other civil rights cases now being reconsidered, and skillfully shows how the South is finding a way to create justice where none had existed before.
| Author | : Annabel Thorn |
| Publisher | : Psychology Press |
| Total Pages | : 591 |
| Release | : 2008-08-15 |
| Genre | : Psychology |
| ISBN | : 1135419949 |
The relationship between short-term and long-term memory systems is an issue of central concern to memory theorists. The association between temporary memory mechanisms and established knowledge bases is now regarded as critical to the development of theoretical and computational accounts of verbal short-term memory functioning. However, to date there is no single publication that provides dedicated and full coverage of current understanding of the association between short-term and long-term memory systems. Interactions between Short-Term and Long-Term Memory in the Verbal Domain is the first volume to comprehensively address this key issue. The book, focusing specifically on memory for verbal information, comprises chapters covering current theoretical approaches, together with the very latest experimental work, from leading researchers in the field. Chapters contributed to the book draw on both cognitive and neuropsychological research and reflect both conceptual and computational approaches to theorising. The contributing authors represent current research perspectives from both sides of the Atlantic. By addressing this important topic head-on, Interactions between Short-Term and Long-Term Memory in the Verbal Domain represents an invaluable resource for academics and students alike.
| Author | : Gilles Teyssière |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 394 |
| Release | : 2006-09-22 |
| Genre | : Business & Economics |
| ISBN | : 3540346252 |
Assembles three different strands of long memory analysis: statistical literature on the properties of, and tests for, LRD processes; mathematical literature on the stochastic processes involved; and models from economic theory providing plausible micro foundations for the occurrence of long memory in economics.
| Author | : National Academy of Sciences |
| Publisher | : National Academies Press |
| Total Pages | : 195 |
| Release | : 1992-01-01 |
| Genre | : Medical |
| ISBN | : 0309045290 |
The brain ... There is no other part of the human anatomy that is so intriguing. How does it develop and function and why does it sometimes, tragically, degenerate? The answers are complex. In Discovering the Brain, science writer Sandra Ackerman cuts through the complexity to bring this vital topic to the public. The 1990s were declared the "Decade of the Brain" by former President Bush, and the neuroscience community responded with a host of new investigations and conferences. Discovering the Brain is based on the Institute of Medicine conference, Decade of the Brain: Frontiers in Neuroscience and Brain Research. Discovering the Brain is a "field guide" to the brainâ€"an easy-to-read discussion of the brain's physical structure and where functions such as language and music appreciation lie. Ackerman examines: How electrical and chemical signals are conveyed in the brain. The mechanisms by which we see, hear, think, and pay attentionâ€"and how a "gut feeling" actually originates in the brain. Learning and memory retention, including parallels to computer memory and what they might tell us about our own mental capacity. Development of the brain throughout the life span, with a look at the aging brain. Ackerman provides an enlightening chapter on the connection between the brain's physical condition and various mental disorders and notes what progress can realistically be made toward the prevention and treatment of stroke and other ailments. Finally, she explores the potential for major advances during the "Decade of the Brain," with a look at medical imaging techniquesâ€"what various technologies can and cannot tell usâ€"and how the public and private sectors can contribute to continued advances in neuroscience. This highly readable volume will provide the public and policymakersâ€"and many scientists as wellâ€"with a helpful guide to understanding the many discoveries that are sure to be announced throughout the "Decade of the Brain."
| Author | : Peter M. Robinson |
| Publisher | : Advanced Texts in Econometrics |
| Total Pages | : 396 |
| Release | : 2003 |
| Genre | : Business & Economics |
| ISBN | : 9780199257300 |
Long memory time series are characterized by a strong dependence between distant events.
