Statistical Analysis of Circular Data
Language: English
Published by Cambridge University Press, GB, 1995
- Softcover
- New
Seller: Rarewaves.com USA, London, London, United KingdomRarewaves.com USA
AbeBooks seller since June 11, 2025
Condition: New
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Add to basketItem description from seller
Data measured as angles or two-dimensional orientations are found almost everywhere in science. They commonly arise in biology, geography, geophysics, medicine, meteorology and oceanography, and many other areas. Examples of such data include departure directions of birds from release points, fracture plane orientations, the directional movement of animals after stimulation, wind and ocean current directions, and biorhythms. Statistical methods for handling such data have developed rapidly in the last twenty years, particularly data display, correlation, regression and analysis of tempered or spatially structured data. Further, some of the exciting modern developments in general statistical methodology, particularly nonparametric smoothing methods and bootstrap-based methods, have contributed significantly to relatively intractable data analysis problems. This book provides a unified and up-to-date account of techniques for handling circular data.
Seller Inventory # LU-9780521568906
- Title
- Statistical Analysis of Circular Data
- Author
- N. I. Fisher
- Publisher
- Cambridge University Press, GB
- Publication year
- 1995
- Condition
- New
- Binding
- Paperback
- Language
- English
- ISBN 10
- 0521568900
- ISBN 13
- 9780521568906
- Item weight
- 551 grams
"Synopsis" may belong to another edition of this title.
Review
"I would recommend this book to any statistician who needs to analyze circular data. The author's style is quite readable. The page layout is pleasing, and the graphics are very well done....I was very impressed with this book." Thomas E. Wehrly, Technometrics
"...as circular data become more common and their underlying questions become more complex, Statistical Analysis of Circular Data will continue to help move this 'curious byway' into a mainstream of applied statistical science. This is a book that is written to be used." Nicholas Lange, Journal of the American Statistical Association
"...this well-crafted text contains a wealth of other historical and technical aspects of analyzing circular data that you will find both interesting and informative." Timothy G. Gregoire, Forest Science
"About the title" may belong to another edition of this title.
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