000			03697nam a2200469Ii 4500
001			9781315228570
003			FlBoTFG
005			20220509193043.0
006			m o d
007			cr
008			181112t20182019flu b ob 001 0 eng d
020			_a9781315228570 _q(e-book : PDF)
035			_a(OCoLC)1051088044
040			_aFlBoTFG _cFlBoTFG _erda
041	1		_aeng
050		4	_a QA276
072		7	_aMAT _x029000 _2bisacsh
072		7	_aRBGK _2bicscc
082	0	4	_a 519.5
245	0	0	_aApplied Directional Statistics : _bModern Methods and Case Studies / _cedited by Christophe Ley and Thomas Verdebout.
250			_aFirst edition.
264		1	_aBoca Raton, FL : _bChapman and Hall/CRC, _c[2018].
264		4	_c©2019.
300			_a1 online resource (318 pages)
336			_atext _2rdacontent
337			_acomputer _2rdamedia
338			_aonline resource _2rdacarrier
490	1		_aChapman & Hall/CRC Interdisciplinary Statistics
504			_aIncludes bibliographical references and index.
505	0	0	_tIntroduction -- --Christophe Ley and Thomas Verdebout -- _t1. Directional Statistics in Protein Bioinformatics -- --Kanti V. Mardia, Jesper Illemann Foldager, and Jes Frellsen -- _t2. Statistics of Orientations of Symmetrical Objects -- --Richard Arnold and Peter Jupp -- _t3. Correlated Cylindrical Data -- --Francesco Lagona -- _t4. Toroidal Diffusions and Protein Structure Evolution -- --Eduardo Garca-Portugus, Michael Golden, Michael Soerensen, Kanti V. Mardia, Thomas Hamelryck, Jotun Hein -- _t5. Noisy Directional Data -- --Thanh Mai Pham Ngoc -- _t6. On Modelling of SE(3) Objects -- --Louis-Paul Rivest and Karim Oualkacha -- _t7. --Spatial and Spatio-temporal Circular Processes with Application to Wave Direction -- --Giovanna Jona-Lasinio, Alan E. Gelfand, and Gianluca Mastrantonio -- _t8. --Cylindrical Distributions and their Applications to Biological Data -- --Toshihiro Abe & Ichiro Ken Shimatani -- _t9. --Directional Statistics for Wildfires -- --Jose Ameijeiras-Alonso, Rosa M. Crujeiras, Alberto Rodrguez Casal -- _t10. Bayesian Analysis of Circular Data in Social and Behavioural Sciences -- --Irene Klugkist, Jolien Cremers, and Kees Mulder -- _t11. --Nonparametric Classification for Circular Data -- --Marco Di Marzio, Stefania Fensore, and Charles C. Taylor -- _t12. --Directional Statistics in Machine Learning: A Brief Review -- --Suvrit Sra -- _t13. --A--pplied Directional Statistics with R: an Overview -- --Arthur Pewsey -- _t -- =506 \\ _aLicense restrictions may limit access.
520	3		_aThis book collects important advances in methodology and data analysis for directional statistics. It is the companion book of the more theoretical treatment presented in Modern Directional Statistics (CRC Press, 2017) The field of directional statistics has received a lot of attention due to demands from disciplines such as life sciences or machine learning, the availability of massive data sets requiring adapted statistical techniques, and technological advances. This book covers important progress in bioinformatics, biology, astrophysics, oceanography, environmental sciences, earth sciences, machine learning and social sciences.
530			_aAlso available in print format.
650		0	_aMathematical statistics.
650		0	_aCircular data.
650		0	_aSpherical data.
655		0	_aElectronic books.
700	1		_aLey, Christophe, _eeditor.
700	1		_aVerdebout, Thomas, _eeditor.
710	2		_aTaylor and Francis.
776	0	8	_iPrint version: _z9781138626430
830		0	_aChapman & Hall/CRC Interdisciplinary Statistics.
856	4	0	_uhttps://www.taylorfrancis.com/books/9781315228570 _zClick here to view.
999			_c128944 _d128944