000 02549nam a2200373Ki 4500
001 ocn859537368
003 OCoLC
005 20240726105429.0
008 131007s2013 enka eob 001 0 eng d
040 _aNT
_beng
_erda
_epn
_cNT
020 _a9780191650574
_q((electronic)l(electronic)ctronic)l((electronic)l(electronic)ctronic)ctronic bk.
050 0 4 _aQA276
_b.I535 2013
049 _aNTA
100 1 _aPawitan, Yudi,
_e1
245 1 0 _aIn all likelihood :
_bstatistical modelling and inference using likelihood /
_cYudi Pawitan.
250 _aPaperback edition.
260 _aOxford :
_bOxford University Press,
_c(c)2013.
300 _a1 online resource (xiii, 528 pages) :
_billustrations.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _adata file
_2rda
500 _aOriginally published: Oxford : Clarendon Press, 2001.
500 _aPreviously published in 2008 as corrected edition.
504 _a2
520 0 _aBased on a course in the theory of statistics this text concentrates on what can be achieved using the likelihood/Fisherian method of taking account of uncertainty when studying a statistical problem. It takes the concept of the likelihood as providing the best methods for unifying the demands of statistical modelling and the theory of inference. Every likelihood concept is illustrated by realistic examples, which are not compromised by computational problems. Examples range from a simile comparison of two accident rates, to complex studies that require generalised linear or semi parametric modelling. The emphasis is that the likelihood is not simply a device to produce an estimate, but an important tool for modelling. The book generally takes an informal approach, where most important results are established using heuristic arguments and motivated with realistic examples. With the currently available computing power, examples are not contrived to allow a closed analytical solution, and the book can concentrate on the statistical aspects of the data modelling.
530 _a2
_ub
650 0 _aMathematical statistics.
655 1 _aElectronic Books.
856 4 0 _uhttps://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=646807&site=eds-live&custid=s3260518
_zClick to access digital title | log in using your CIU ID number and my.ciu.edu password
942 _cOB
_D
_eEB
_hQA
_m2013
_QOL
_R
_x
_8NFIC
_2LOC
994 _a02
_bNT
999 _c100102
_d100102
902 _a1
_bCynthia Snell
_c1
_dCynthia Snell