Statistical Analysis of Circular Data

Front Cover
Cambridge University Press, Oct 12, 1995 - Mathematics - 277 pages
3 Reviews
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.
  

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Contents

I
1
II
15
III
30
V
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VI
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VIII
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IX
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LVIII
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About the author (1995)

N. I. Fisher is the founder of ValueMetrics Australia, an enterprise that carries out research and consulting primarily in the area of performance measurement. Dr Fisher carries out R&D projects around the world, with particular emphasis on improving quantitative reports to boards and top management. His more recent work has focused on measuring research quality and measurement of public policy. He is also a Visiting Professor of Statistics at the University of Sydney.

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