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The Analysis of Directional Time Series: Applications to Wind Speed and Direction
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Catalogue Information
Field name
Details
Dewey Class
519.5
Title
The Analysis of Directional Time Series: Applications to Wind Speed and Direction ([EBook] /) / edited by Jens Breckling.
Added Personal Name
Breckling, Jens
editor.
Other name(s)
SpringerLink (Online service)
Publication
New York, NY : : Springer New York, , 1989.
Physical Details
VIII, 238 p. 10 illus. : online resource.
Series
Lecture Notes in Statistics
0930-0325 ; ; 61
ISBN
9781461236887
Summary Note
Given a series of wind speeds and directions from the port of Fremantle the aim of this monograph is to detect general weather patterns and seasonal characteristics. To separate the daily land and sea breeze cycle and other short-term disturbances from the general wind, the series is divided into a daily and a longer term, synoptic component. The latter is related to the atmospheric pressure field, while the former is studied in order i) to isolate particular short-term events such as calms, storms and oscillating winds, and ii) to determine the land and sea breeze cycle which dominates the weather pattern for most of the year. All these patterns are described in detail and are related to the synoptic component of the data. Two time series models for directional data and a new measure of angular association are introduced to provide the basis for certain parts of the analysis.:
Contents note
I: Wind Data Analysis -- 1. Introduction -- 2. The Initial Decomposition -- 3. The Geostrophic Component -- 4. The Land and Sea Breeze Cycle -- 5. Short-Term Events -- II: Time Series of Directional Data -- 6. Time Series Models for Directional Data -- 7. Measures of Angular Association -- 8. Comparison of Different Measures of Association -- 9. Inference from the Wrapped Autoregressive Process -- 10. Application to Series of Residual Wind Directions -- 11. Conclusions and Summary of Results -- List of Symbols.
System details note
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users)
Internet Site
http://dx.doi.org/10.1007/978-1-4612-3688-7
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Subject References:
Statistics
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Statistics, general
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Authors:
Breckling, Jens
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Corporate Authors:
SpringerLink (Online service)
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Series:
Lecture Notes in Statistics
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Classification:
519.5
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