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Condition: good. The item shows wear from consistent use, but it remains in good condition and works perfectly. All pages and cover are intact including the dust cover, if applicable . Spine may show signs of wear. Pages may include limited notes and highlighting. May NOT include discs, access code or other supplemental materials.
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Trade Paperback. Condition: VG. used trade paperback edition. lightly shelfworn, corners perhaps slightly bumped. pages and binding are clean, straight and tight. there are no marks to the text or other serious flaws.
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Dependence in Probability and Statistics
Book 33 of 72: Lecture Notes in StatisticsSeller: Hackenberg Booksellers ABAA, El Cerrito, CA, U.S.A.
Seller rating 5 out of 5 stars
viii, 492p., stiff library boards, ex libris (Lecture notes in statistics, 187).
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Dependence in Probability and Statistics (Lecture Notes in Statistics, 187)
Book 33 of 72: Lecture Notes in StatisticsLanguage: English
Published by Springer, New York, NY, 2006
ISBN 10: 0387317414 ISBN 13: 9780387317410
Seller: Book Bear, West Brookfield, MA, U.S.A.
Association Member: SNEAB
Seller rating 5 out of 5 stars
Paperback. Condition: Very Good. 489 pp. Tightly bound. Spine not compromised. Text is free of markings. No ownership markings. NOTE: The word "USED" is neatly stamped on the top fore-edge. Lecture Notes In Statistics 187.
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Condition: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. Library sticker on front cover. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1550grams, ISBN:9780817641689.
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Dependence in Probability and Statistics (Lecture Notes in Statistics, 187)
Book 33 of 72: Lecture Notes in StatisticsLanguage: English
Published by Springer, New York, NY, 2006
ISBN 10: 0387317414 ISBN 13: 9780387317410
First Edition
Paperback. Condition: Very Good. 1st Edition. 492 pp. Tightly bound. Spine not compromised. Text is free of markings. No ownership markings. NOTE: The word "USED" neatly stamped on the top fore-edge. First Edition / First Printing. 9,8,7,6,5,4,3,2,1.
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Dependence in Probability and Statistics (Lecture Notes in Statistics, 187)
Book 33 of 72: Lecture Notes in StatisticsLanguage: English
Published by Springer, New York, NY, 2006
ISBN 10: 0387317414 ISBN 13: 9780387317410
Paperback. Condition: Very Good. 489 pp. Tightly bound. Spine not compromised. Text is free of markings. NOTE: The word "USED" is neatly stamped on the top fore-edge. Lecture Notes In Statistics 187.
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Condition: As New. Unread book in perfect condition.
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PF. Condition: New.
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Dependence in Probability and Statistics (Lecture Notes in Statistics, 200)
Book 46 of 72: Lecture Notes in StatisticsSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 49.30
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Condition: New. pp. 228.
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Dependence in Probability and Statistics
Book 46 of 72: Lecture Notes in StatisticsSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Paperback or Softback. Condition: New. Dependence in Probability and Statistics. Book.
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Dependence in Probability and Statistics
Book 46 of 72: Lecture Notes in StatisticsSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Hardcover. Condition: Good. Oversized & heavy hardcover, x + 719 pages. Stamped "withdrawn". A thick black marker line on upper page edges externally; a couple of blank stickers inside the front board; neatly removed title page. Else book shows little wear, interior is clean and bright with unmarked text, firmly bound. Issued without a dust jacket. -- Contents: Preface; Part A: Theory I. Probability -- Fractional Brownian Motion and Long-Range Dependence; Historical Comments Related to Fractional Brownian Motion; Models, Inequalities and Limit Theorems for Stationary Sequences; Limit Theorems Under Seasonal Long-Memory; CLTs for Polynomials of Linear Sequences: Diagram Formula with Illustrations; Non-CLTs: U-Statistics, Multinomial Formula and Approximations of Multiple Ito-Wiener Integrals; A Decomposition for Generalized U-Statistics of Long-Memory Linear Processes; Limit Theorems for Infinite Variance Sequences; Fractional Calculus and Its Connection to Fractional Brownian Motion; Stochastic Integration, Filtering with Respect to Fractional Brownian Motion; II. Statistics -- Parametric Estimation Under Long-Range Dependence; Semiparametric Spectral Estimation for Fractional Processes; Nonparametric Estimation for Long-Range Dependent Sequences; Estimation of Long Memory in Volatility; Detection and Estimation of Changes in Regime; Robust Estimators in Regression Models with Long Memory Errors; Prediction of Long-Memory Time Series; Part B: Applications III. Applications -- Long-Range Dependence and Data Network Traffic; Large Deviations of Queues with Long-Range Dependent Input; Long-Range Dependence Paradigm for Macroeconomics and Finance; Long-Range Dependence Effects and ARCH Modeling; Long-Range Dependence in Hydrology; Wavelet Based Estimation of Local Kolmogorov Turbulence; Limit Theorems for the Burgers Equation Initialized by Data with Long-Range Dependence; IV. Methodology -- Self-Similarity and Long-Range Dependence Through the Wavelet Lens; Semi-Parametric Estimation of the Long-Range Dependence Parameter: A Survey; Generators of Long-Range Dependent Processes: A Survey; Multifractal Processes -- The area of data analysis has been greatly affected by our computer age. For example, the issue of collecting and storing huge data sets has become quite simplified and has greatly affected such areas as finance and telecommunications. Even non-specialists try to analyze data sets and ask basic questions about their structure. One such question is whether one observes some type of invariance with respect to scale, a question that is closely related to the existence of long-range dependence in the data. This important topic of long-range dependence is the focus of this unique work, written by a number of specialists on the subject. The topics selected should give a good overview from the probabilistic and statistical perspective. Included will be articles on fractional Brownian motion, models, inequalities and limit theorems, periodic long-range dependence, parametric, semiparametric, and non-parametric estimation, long-memory stochastic volatility models, robust estimation, and prediction for long-range dependence sequences. For those graduate students and researchers who want to use the methodology and need to know the "tricks of the trade," there will be a special section called "Mathematical Techniques." Topics in the first part of the book are covered from probabilistic and statistical perspectives and include fractional Brownian motion, models, inequalities and limit theorems, periodic long-range dependence, parametric, semiparametric, and non-parametric estimation, long-memory stochastic volatility models, robust estimation, prediction for long-range dependence sequences. The reader is referred to more detailed proofs if already found in the literature.
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Condition: New.
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Condition: New.
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Condition: As New. Unread book in perfect condition.
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Stochastic Models for Time Series (Mathématiques et Applications, 80)
Book 7 of 9: Mathématiques et ApplicationsSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 79.30
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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PF. Condition: New.
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Stochastic Models for Time Series
Book 7 of 9: Mathématiques et ApplicationsSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Condition: New.
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Dependence in Probability and Statistics
Book 46 of 72: Lecture Notes in StatisticsLanguage: English
Published by Springer, Berlin, Springer Berlin Heidelberg, Springer, 2010
ISBN 10: 364214103X ISBN 13: 9783642141034
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume collects recent works on weakly dependent, long-memory and multifractal processes and introduces new dependence measures for studying complex stochastic systems. Other topics include the statistical theory for bootstrap and permutation statistics for infinite variance processes, the dependence structure of max-stable processes, and the statistical properties of spectral estimators of the long memory parameter. The asymptotic behavior of Fejér graph integrals and their use for proving central limit theorems for tapered estimators are investigated. New multifractal processes are introduced and their multifractal properties analyzed. Wavelet-based methods are used to study multifractal processes with different multiresolution quantities, and to detect changes in the variance of random processes. Linear regression models with long-range dependent errors are studied, as is the issue of detecting changes in their parameters.
