000			03388cam a2200481Mu 4500
001			9781315275864
003			FlBoTFG
005			20220711212836.0
006			m d
007			cr cnu---unuuu
008			180811s2017 lau o 000 0 eng d
040			_aOCoLC-P _beng _cOCoLC-P
020			_a9781420056471
020			_a1420056476
020			_a9781315275864
020			_a1315275864
020			_z9780824754006
024	7		_a10.1201/9781315275864 _2doi
035			_a(OCoLC)1048921041
035			_a(OCoLC-P)1048921041
050		4	_aQA276.K218 2005
072		7	_aMAT _x029000 _2bisacsh
072		7	_aMAT _x029010 _2bisacsh
082	0	4	_a519.5
100	1		_aKapadia, Asha Seth. _920094
245	1	0	_aMathematical Statistics with Applications _h[electronic resource].
260			_aBaton Rouge : _bChapman and Hall/CRC, _c2017.
300			_a1 online resource (644 p.).
336			_atext _2rdacontent
337			_acomputer _2rdamedia
338			_aonline resource _2rdacarrier
490	1		_aStatistics: a Series of Textbooks and Monographs ; _vv.Vol. 176
500			_aDescription based upon print version of record.
505	0		_aCover; Half Title; Title Page; Copyright Page; Dedication; Contents; Preface; Acknowledgments; Introduction; Chapter 1 Review of Mathematics; Chapter 2 Probability Theory; Chapter 3 Random Variables; Chapter 4 Discrete Distributions; Chapter 5 Continuous Random Variables; Chapter 6 Distributions of Order Statistics; Chapter 7 Asymptotic Distribution Theory; Chapter 8 Point Estimation; Chapter 9 Hypothesis Testing; Chapter 10 Interval Estimation; Chapter 11 Introduction to Computational Methods; Index
520	3		_aMathematical statistics typically represents one of the most difficult challenges in statistics, particularly for those with more applied, rather than mathematical, interests and backgrounds. Most textbooks on the subject provide little or no review of the advanced calculus topics upon which much of mathematical statistics relies and furthermore contain material that is wholly theoretical, thus presenting even greater challenges to those interested in applying advanced statistics to a specific area.Mathematical Statistics with Applications presents the background concepts and builds the technical sophistication needed to move on to more advanced studies in multivariate analysis, decision theory, stochastic processes, or computational statistics. Applications embedded within theoretical discussions clearly demonstrate the utility of the theory in a useful and relevant field of application and allow readers to avoid sudden exposure to purely theoretical materials.With its clear explanations and more than usual emphasis on applications and computation, this text reaches out to the many students and professionals more interested in the practical use of statistics to enrich their work in areas such as communications, computer science, economics, astronomy, and public health.
588			_aOCLC-licensed vendor bibliographic record.
700	1		_aChan, Wenyaw. _920095
700	1		_aMoyé, Lemuel A. _920096
856	4	0	_uhttps://www.taylorfrancis.com/books/9781315275864 _zClick here to view.
856	4	2	_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
938			_aTaylor & Francis _bTAFR _n9781315275864
942			_cEBK
999			_c72285 _d72285