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Editorial Reviews
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
Product Description
This book provides a unified and up-to-date account of techniques for handling circular data, and will interest all who perform data analyses.
See all Editorial Reviews
"...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
Product Description
This book provides a unified and up-to-date account of techniques for handling circular data, and will interest all who perform data analyses.
See all Editorial Reviews
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Inside Another Edition of this Book Citations: This book cites 20 books | 20 books that cite this book Explore: Citations | Books on Related Topics | Concordance | Text Stats Key Phrases - SIPs: common mean direction, circular standard error, circular response variable, sample median direction, randomisation distribution (more) Key Phrases - CAPs: New South Wales, Use Stages, Wrapped Cauchy, Moments Mean, Belford Anticline Browse Sample Pages: Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover | Surprise Me! |
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Inside This Book
(learn more)
Browse and search another edition of this book.
Browse and search another edition of this book.
First Sentence:
In the Preface, the various types of circular data - vectors/axes, uniform/unimodal/multimodal - were described together with the usual ways of recording them. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
common mean direction, circular standard error, circular response variable, sample median direction, randomisation distribution, circular random variable, angular histogram, sample mean direction, mean resultant length, circular ranks, axial data
In the Preface, the various types of circular data - vectors/axes, uniform/unimodal/multimodal - were described together with the usual ways of recording them. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
common mean direction, circular standard error, circular response variable, sample median direction, randomisation distribution, circular random variable, angular histogram, sample mean direction, mean resultant length, circular ranks, axial data