000			03652cam a22005891i 4500
001			9781351238403
003			FlBoTFG
005			20220531132430.0
006			m d
007			cr |||||||||||
008			200518s2020 flua ob 001 0 eng d
040			_aOCoLC-P _beng _erda _epn _cOCoLC-P
020			_a9781351238380 _q(ePub ebook)
020			_a1351238388 _q(ePub ebook)
020			_a9781351238397 _q(PDF ebook)
020			_a1351238396 _q(PDF ebook)
020			_a9781351238373 _q(Mobipocket ebook)
020			_a135123837X _q(Mobipocket ebook)
020			_a135123840X _q(electronic bk.)
020			_a9781351238403 _q(electronic bk.)
020			_z9780815375906 (hbk.)
024	7		_a10.1201/9781351238403 _2doi
035			_a(OCoLC)1173842928
035			_a(OCoLC-P)1173842928
050		4	_aTA340
072		7	_aMAT _x029010 _2bisacsh
072		7	_aTEC _x009060 _2bisacsh
072		7	_aTEC _x029000 _2bisacsh
072		7	_aPBT _2bicssc
082	0	4	_a519.5 _223
100	1		_aHaghighi, Aliakbar Montazer, _eauthor.
245	1	0	_aProbability, statistics, and stochastic processes for engineers and scientists / _cAliakbar Montazer Haghighi and Indika Rathnathungalage Wickramasinghe.
250			_a1st.
264		1	_aBoca Raton : _bCRC Press, _c2020.
300			_a1 online resource : _billustrations (black and white).
336			_atext _2rdacontent
336			_astill image _2rdacontent
337			_acomputer _2rdamedia
338			_aonline resource _2rdacarrier
490	1		_aMathematical engineering, manufacturing, and management sciences
500			_a<P>Preliminaries. Basics of Probability. Random Variables and Probability Distribution Functions . Descreptive Statistics. Inferential Statistics. Nonparametric Statistics. Stochastic Processes. Appendix. Bibliography. </P>
520			_aFeaturing recent advances in the field, this new textbook presents probability and statistics, and their applications in stochastic processes. This book presents key information for understanding the essential aspects of basic probability theory and concepts of reliability as an application. The purpose of this book is to provide an option in this field that combines these areas in one book, balances both theory and practical applications, and also keeps the practitioners in mind. Features Includes numerous examples using current technologies with applications in various fields of study Offers many practical applications of probability in queueing models, all of which are related to the appropriate stochastic processes (continuous time such as waiting time, and fuzzy and discrete timelike the classic Gambler's Ruin Problem) Presents differentcurrent topics like probability distributions used in real-world applications of statistics such as climate control and pollution Different types of computer software such as MATLAB, Minitab, MS Excel, and R as options for illustration, programing and calculation purposes and data analysis Covers reliability and its application in network queues
588			_aOCLC-licensed vendor bibliographic record.
650		0	_aEngineering _xStatistical methods.
650		0	_aStochastic analysis.
650		7	_aMATHEMATICS / Probability & Statistics / Bayesian Analysis _2bisacsh
650		7	_aTECHNOLOGY / Engineering / Industrial _2bisacsh
650		7	_aTECHNOLOGY / Operations Research _2bisacsh
700	1		_aWickramasinghe, Indika Rathnathungalage, _eauthor.
856	4	0	_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9781351238403
856	4	2	_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999			_c72276 _d72276