Items related to Statistical Analysis of Circular Data

Statistical Analysis of Circular Data - Softcover

Fisher, N. I.

 
9780521568906: Statistical Analysis of Circular Data

Synopsis

A unified, up-to-date account of circular data-handling techniques, useful throughout science.

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Review

"...I suggest you pick up this book...this is a delightful, modern, and unified text. The writing style is exceptionally clear and lucid...examples are motivating and nontechnical and are easy to follow. For these reasons, the book can also be used as a textbook for university students who often deal with or collect circular data...the book looks wonderful...contains much valuable information and many interesting examples and gives an excellent--and for the most part nontechnical--introduction to build a solid foundation in circular data analysis...covers the most recent developments in the area. I strongly recommend it for students and researchers." Chance

"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

Book Description

Angles or two-dimensional orientations are found throughout science; in biology, geography, geophysics, medicine, meteorology and oceanography. This book provides a unified, up-to-date account of circular data-handling techniques, including data display, correlation, regression and tempered or spatially structured data analysis and general statistical developments in nonparametric smoothing and bootstrap-based methods.

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