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001 9780429155017
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005 20240520162920.0
006 m d | |
007 cr |||||||||||
008 191216s2020 flu ob 001 0 eng
020 _a9780429155017
_q(ebook)
020 _a0429155018
020 _a9781498757591
_q(electronic bk. : PDF)
020 _a1498757596
_q(electronic bk. : PDF)
020 _a9780429531712
_q(electronic bk. : EPUB)
020 _a0429531710
_q(electronic bk. : EPUB)
020 _z9781498757584
_q(hardback)
035 _a(OCoLC)1134459880
035 _a(OCoLC-P)1134459880
040 _aOCoLC-P
_beng
_erda
_cOCoLC-P
050 0 0 _aQA279.7
072 7 _aMAT
_x029000
_2bisacsh
072 7 _aMAT
_x029010
_2bisacsh
072 7 _aPB
_2bicssc
082 0 0 _a519.5/4
_223
100 1 _aTartakovsky, Alexander,
_eauthor.
245 1 0 _aSequential change detection and hypothesis testing :
_bgeneral non-i.i.d. stochastic models and asymptotically optimal rules /
_cby Alexander G. Tartakovsky.
264 1 _aBoca Raton :
_bCRC Press,
_c[2020]
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bn
_2rdamedia
338 _aonline resource
_bnc
_2rdacarrier
505 0 _aSequential hypothesis testing in multiple data streams -- Sequential detection of changes : changepoint models, performance metrics and optimality criteria -- Bayesian quickest change detection in a single population -- Nearly optimal pointwise and minimax change detection in a single population -- Change detection rules optimal for the maximal detection probability criterion -- Quickest change detection in multiple streams -- Joint changepoint detection and identification -- Applications.
520 _a"Statistical methods for sequential hypothesis testing and changepoint detection have applications across many fields. This book presents an overview of methodology in these related areas, providing a synthesis of research from the last few decades"--
_cProvided by publisher.
588 _aOCLC-licensed vendor bibliographic record.
650 0 _aSequential analysis.
650 0 _aMathematical statistics.
650 7 _aMATHEMATICS / Probability & Statistics / General
_2bisacsh
650 7 _aMATHEMATICS / Probability & Statistics / Bayesian Analysis
_2bisacsh
856 4 0 _3Taylor & Francis
_uhttps://www.taylorfrancis.com/books/9780429155017
856 4 2 _3OCLC metadata license agreement
_uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
942 _2ddc
_cE
999 _c15834
_d15834