ISBN: 9781107039469 - long-range dependence and self-similarity (20 risultati)

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Condizione: New. A hands-on guide to Bayesian models with R, JAGS, Python, and Stan code, for a wide range of astronomical data types. Series: Cambridge Series in Statistical and Probabilistic Mathematics. Num Pages: 382 pages, 58 b/w illus. 8 tables. BIC Classification: PBT. Category: (U) Tertiary Education (US: College). Dimension: 253 x 177. . . 2017. hardcover. . . . .…

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Condizione: New. pp. 382.

Condizione: New. pp. 382.

Condizione: New. pp. 382.

Condizione: New. In English.

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Condizione: New. A hands-on guide to Bayesian models with R, JAGS, Python, and Stan code, for a wide range of astronomical data types. Series: Cambridge Series in Statistical and Probabilistic Mathematics. Num Pages: 382 pages, 58 b/w illus. 8 tables. BIC Classification: PBT. Category: (U) Tertiary Education (US: College). Dimension: 253 x 177. . . 2017. hardcover. . . . . Books ship from the US and Ireland.…

Hardcover. Condizione: Brand New. 668 pages. 10.00x7.25x1.75 inches. In Stock.

Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This modern and comprehensive guide to long-range dependence and self-similarity starts with rigorous coverage of the basics, then moves on to cover more specialized, up-to-date topics central to current research. These topics concern, but are not limited to, physical models that give rise to long-range dependence and self-similarity; central and non-central limit theorems for long-range dependent series, and the limiting Hermite processes; fractional Brownian motion and its stochastic calculus; several celebrated decompositions of fractional Brownian motion; multidimensional models for long-range dependence and self-similarity; and maximum likelihood estimation methods for long-range dependent time series. Designed for graduate students and researchers, each chapter of the book is supplemented by numerous exercises, some designed to test the reader's understanding, while others invite the reader to consider some of the open research problems in the field today.…

Hardcover. Condizione: new. Hardcover. This modern and comprehensive guide to long-range dependence and self-similarity starts with rigorous coverage of the basics, then moves on to cover more specialized, up-to-date topics central to current research. These topics concern, but are not limited to, physical models that give rise to long-range dependence and self-similarity; central and non-central limit theorems for long-range dependent series, and the limiting Hermite processes; fractional Brownian motion and its stochastic calculus; several celebrated decompositions of fractional Brownian motion; multidimensional models for long-range dependence and self-similarity; and maximum likelihood estimation methods for long-range dependent time series. Designed for graduate students and researchers, each chapter of the book is supplemented by numerous exercises, some designed to test the reader's understanding, while others invite the reader to consider some of the open research problems in the field today. Real-world time series rarely satisfy simple assumptions, often exhibiting long-range dependence. Ignoring this undermines accurate detection of trends and other important behavior. This text for graduate students and researchers in statistics and probability is also a reference for specialists in fields such as economics, finance, and hydrology. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …

Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Real-world time series rarely satisfy simple assumptions, often exhibiting long-range dependence. Ignoring this undermines accurate detection of trends and other important behavior. This text for graduate students and researchers in statistics and probabili.…

Buch. Condizione: Neu. Long-Range Dependence and Self-Similarity | Vladas Pipiras (u. a.) | Buch | Gebunden | Englisch | 2019 | Cambridge University Press | EAN 9781107039469 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…