9780470114025 - Long-Memory Time Series: Theory and Methods: 662 (Wiley Series in Probability and Statistics) von Palma, Wilfredo (6 Ergebnisse)

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. pp. 304 Illus.

Gebunden. Zustand: New. .Palma presents a textbook for a graduate course summarizing the theory and methods developed to deal with long-range-dependent data, and describing some applications to real-life time series. (SciTech Book Reviews, June 2007) .textbook for a graduate.

Hardcover. Zustand: Brand New. 1st edition. 285 pages. 9.50x6.25x0.75 inches. In Stock.

Zustand: New. During the last decades long-memory processes have evolved as a vital and important part of time series analysis. This book attempts to give an overview of the theory and methods developed to deal with long-range dependent data as well as describe some applications of these methodologies to real-life time series. Series: Wiley Series in Probability and Statistics. Num Pages: 304 pages, Illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 242 x 163 x 19. Weight in Grams: 564. . 2007. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.

Buch. Zustand: Neu. Neuware - A self-contained, contemporary treatment of the analysis of long-range dependent dataLong-Memory Time Series: Theory and Methods provides an overview of the theory and methods developed to deal with long-range dependent data and describes the applications of these methodologies to real-life time series. Systematically organized, it begins with the foundational essentials, proceeds to the analysis of methodological aspects (Estimation Methods, Asymptotic Theory, Heteroskedastic Models, Transformations, Bayesian Methods, and Prediction), and then extends these techniques to more complex data structures.To facilitate understanding, the book:\*Assumes a basic knowledge of calculus and linear algebra and explains the more advanced statistical and mathematical concepts\*Features numerous examples that accelerate understanding and illustrate various consequences of the theoretical results\*Proves all theoretical results (theorems, lemmas, corollaries, etc.) or refers readers to resources with further demonstration\*Includes detailed analyses of computational aspects related to the implementation of the methodologies described, including algorithm efficiency, arithmetic complexity, CPU times, and more\*Includes proposed problems at the end of each chapter to help readers solidify their understanding and practice their skillsA valuable real-world reference for researchers and practitioners in time series analysis, economerics, finance, and related fields, this book is also excellent for a beginning graduate-level course in long-memory processes or as a supplemental textbook for those studying advanced statistics, mathematics, economics, finance, engineering, or physics. A companion Web site is available for readers to access the S-Plus(r) and R data sets used within the text.