Palma wilfredo (35 risultati)

Hardcover. Condizione: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

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

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

Condizione: new.

Condizione: new.

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Hardcover. Condizione: New. Brand new book, sourced directly from publisher. Dispatch time is 3-4 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Condizione: As New. Unread book in perfect condition.

Hardcover. Condizione: New. Brand new book, sourced directly from publisher. Dispatch time is 3-4 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Hardback. Condizione: New. New copy - Usually dispatched within 4 working days.

Condizione: New. A modern and accessible guide to the analysis of introductory time series data Featuring an organized and self-contained guide, Time Series Analysis provides a broad introduction to the most fundamental methodologies and techniques of time series analysis. Series: Wiley Series in Probability and Statistics. Num Pages: 608 pages, illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 280 x 230 x 28. . . 2016. 1st Edition. Hardcover. . . . .…

Condizione: New. pp. 608.

Condizione: New. pp. 608.

Condizione: New. In English.

Condizione: New. pp. 304 Illus.

Condizione: New. In English.

Condizione: 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. . . . .…

Condizione: New. pp. 304.

Hardback. Condizione: New. A modern and accessible guide to the analysis of introductory time series data Featuring an organized and self-contained guide, Time Series Analysis provides a broad introduction to the most fundamental methodologies and techniques of time series analysis. The book focuses on the treatment of univariate time series by illustrating a number of well-known models such as ARMA and ARIMA. Providing contemporary coverage, the book features several useful and newlydeveloped techniques such as weak and strong dependence, Bayesian methods, non-Gaussian data, local stationarity, missing values and outliers, and threshold models. Time Series Analysis includes practical applications of time series methods throughout, as well as: Real-world examples and exercise sets that allow readers to practice the presented methods and techniquesNumerous detailed analyses of computational aspects related to the implementation of methodologies including algorithm efficiency, arithmetic complexity, and process timeEnd-of-chapter proposed problems and bibliographical notes to deepen readers' knowledge of the presented materialAppendices that contain details on fundamental concepts and select solutions of the problems implemented throughoutA companion website with additional data fi les and computer codes Time Series Analysis is an excellent textbook for undergraduate and beginning graduate-level courses in time series as well as a supplement for students in advanced statistics, mathematics, economics, finance, engineering, and physics. The book is also a useful reference for researchers and practitioners in time series analysis, econometrics, and finance. Wilfredo Palma, PhD, is Professor of Statistics in the Department of Statistics at Pontificia Universidad Católica de Chile. He has published several refereed articles and has received over a dozen academic honors and awards. His research interests include time series analysis, prediction theory, state space systems, linear models, and econometrics. He is the author of Long-Memory Time Series: Theory and Methods, also published by Wiley.…

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

Condizione: New. A modern and accessible guide to the analysis of introductory time series data Featuring an organized and self-contained guide, Time Series Analysis provides a broad introduction to the most fundamental methodologies and techniques of time series analysis. Series: Wiley Series in Probability and Statistics. Num Pages: 608 pages, illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 280 x 230 x 28. . . 2016. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.…

Buch. Condizione: 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.…

Condizione: 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.…

Hardback. Condizione: New. A modern and accessible guide to the analysis of introductory time series data Featuring an organized and self-contained guide, Time Series Analysis provides a broad introduction to the most fundamental methodologies and techniques of time series analysis. The book focuses on the treatment of univariate time series by illustrating a number of well-known models such as ARMA and ARIMA. Providing contemporary coverage, the book features several useful and newlydeveloped techniques such as weak and strong dependence, Bayesian methods, non-Gaussian data, local stationarity, missing values and outliers, and threshold models. Time Series Analysis includes practical applications of time series methods throughout, as well as: Real-world examples and exercise sets that allow readers to practice the presented methods and techniquesNumerous detailed analyses of computational aspects related to the implementation of methodologies including algorithm efficiency, arithmetic complexity, and process timeEnd-of-chapter proposed problems and bibliographical notes to deepen readers' knowledge of the presented materialAppendices that contain details on fundamental concepts and select solutions of the problems implemented throughoutA companion website with additional data fi les and computer codes Time Series Analysis is an excellent textbook for undergraduate and beginning graduate-level courses in time series as well as a supplement for students in advanced statistics, mathematics, economics, finance, engineering, and physics. The book is also a useful reference for researchers and practitioners in time series analysis, econometrics, and finance. Wilfredo Palma, PhD, is Professor of Statistics in the Department of Statistics at Pontificia Universidad Católica de Chile. He has published several refereed articles and has received over a dozen academic honors and awards. His research interests include time series analysis, prediction theory, state space systems, linear models, and econometrics. He is the author of Long-Memory Time Series: Theory and Methods, also published by Wiley.…

Condizione: New. BRAND NEW. book.