000			01778cam a22003978i 4500
001			22272326
005			20240829153036.0
008			211014s2022 flu b 001 0 eng
010			_a 2021046062
020			_a9781032007885 _q(hbk)
020			_a9781032187662 _q(pbk)
020			_z9781003175711 _q(ebk)
040			_aDLC _beng _erda _cDLC
042			_apcc
050	0	0	_aHF5548.2 _b.C474 2022
082	0	0	_a658.05 SOM _223/eng/20211104 _b24686
100	1		_aChaudhary, Kiran, _eauthor.
245	1	0	_aBig data analytics : _bapplications in business and marketing _cKiran Chaudhary and Mansaf Alam.
250			_aFirst edition.
263			_a2201
264		1	_aBoca Raton, FL : _bCRC Press, _c2022.
300			_apages cm
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
504			_aIncludes bibliographical references and index.
520			_a"Survival analysis uses statistics to calculate time to failure. Survival Analysis with Python takes a fresh look at this complex subject by explaining how to use the Python programming language to perform this type of analysis. As the subject itself is very mathematical and full of expressions and formulations, the book provides detailed explanations and examines practical implications. The book begins with an overview of the concepts underpinning statistical survival analysis"-- _cProvided by publisher.
650		0	_aBusiness _xData processing.
650		0	_aMarketing _xData processing.
650		0	_aBig data.
700	1		_aAlam, Mansaf, _eauthor.
852			_p10004000024686
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cBK _n0
999			_c489407 _d489407