000			02865cam a2200505M 4500
001			9780367854485
003			FlBoTFG
005			20220711211904.0
006			m o d
007			cr |n|||||||||
008			190821s2020 xx o 000 0 eng d
040			_aOCoLC-P _beng _cOCoLC-P
020			_a9780367854485 _q(electronic bk.)
020			_a0367854481 _q(electronic bk.)
020			_a9781000739787 _q(electronic bk. : Mobipocket)
020			_a1000739783 _q(electronic bk. : Mobipocket)
020			_a9781000739633 _q(electronic bk. : PDF)
020			_a1000739635 _q(electronic bk. : PDF)
020			_a9781000739930 _q(electronic bk. : EPUB)
020			_a1000739937 _q(electronic bk. : EPUB)
020			_z0367030004
020			_z9780367030001
035			_a(OCoLC)1112281329
035			_a(OCoLC-P)1112281329
050		4	_aQA276.12
072		7	_aMAT _x029000 _2bisacsh
072		7	_aUY _2bicssc
082	0	4	_a519.5 _223
100	1		_aRao, A. V. Dattatreya. _910848
245	1	0	_aANGULAR STATISTICS.
260			_a[Place of publication not identified] _bCRC Press, _c2020.
300			_a1 online resource
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
520			_aDirectional data arise in the form of circular / semicircular / axial, symmetric / asymmetric, uni / bimodal data, in practical situations of varied fields. For the purpose of modeling such kind of data sets, the data scientists found that existing models as inadequate. As there is paucity of angular models, and to fill the gap, this book is designed at constructing new angular models with the existing techniques and to develop new tools of constructing angular models with an application to control charts in angular models. This book is planned to cover the following topics in nine chapters Wrapped, stereographic and offset circular models Construction of angular models using Rising Sun function, positive definite sequences, discretization and through differential approach Extemporaneous Semicircular / arc and asymmetric l - axial models Choice of angular models as an inferential aspect and construction of control charts for angular data as an application are presented. This graduate level book will be useful for data scientists, researchers and research students of Statistics and allied fields.
588			_aOCLC-licensed vendor bibliographic record.
650		7	_aMATHEMATICS / Probability & Statistics / General _2bisacsh _96860
650		0	_aMathematical statistics. _99597
650		0	_aData sets. _910849
700	1		_aGirija, S. V. S. _910850
856	4	0	_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9780367854485
856	4	2	_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
942			_cEBK
999			_c69818 _d69818