000			02081nam a22003378i 4500
001			CR9780511564345
003			UkCbUP
005			20200124160324.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			090518s1993||||enk o ||1 0|eng|d
020			_a9780511564345 (ebook)
020			_z9780521350181 (hardback)
020			_z9780521568906 (paperback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aQA276 _b.F488 1993
082	0	0	_a519.5 _220
100	1		_aFisher, N. I., _eauthor.
245	1	0	_aStatistical analysis of circular data / _cN.I. Fisher.
264		1	_aCambridge : _bCambridge University Press, _c1993.
300			_a1 online resource (xviii, 277 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
520			_aData 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.
650		0	_aMathematical statistics.
650		0	_aCircular data.
776	0	8	_iPrint version: _z9780521350181
856	4	0	_uhttps://doi.org/10.1017/CBO9780511564345
999			_c522103 _d522101