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LEADER 00000cam 2200397Ma 4500
003 OCoLC
005 20140506095359.0
006 m o e
007 cr nn|
008 121227s2001 maua o 000 0 eng d
019 SPRINGERocn840277750
020 9781461202158|q(electronic bk.)
020 1461202159|q(electronic bk.)
035 (OCoLC)840277750
040 I9W|beng|epn|cI9W|dOCLCQ|dUV0|dOCLCO|dGW5XE|dOCLCF
049 UMVA
050 4 QA276-280
082 04 519.5|223
100 1 Collani, Elart.
245 10 Binomial Distribution Handbook for Scientists and
Engineers|h[electronic resource] /|cby Elart Collani,
Klaus Dr衧er.
260 Boston, MA :|bBirkh衵ser Boston,|c2001.
300 1 online resource (XVIII, 357 pages 3 illustrations)
336 text|btxt|2rdacontent
337 computer|bc|2rdamedia
338 online resource|bcr|2rdacarrier
520 This book deals with estimating and testing the
probability of an event. The purpose of the book is
twofold: It aims at providing practitioners with refined
and easy to use techniques as well as initiating a new
field of research in theoretical statistics. The book
contains completely new interval and point estimators that
are superior to the traditional ones. This is especially
true in the case of small and medium sized samples, which
are characteristic for many fields of application. The
estimators are tailored to a given situation and take into
account the generally one knows the size of the
probability to be measured. Thus, according the size of
the probability different estimators should be used,
similar to the case of measuring length, where the
measurement method depends heavily on the size of the
length to be measured. The approach yields more precise
estimators and more powerful tests. It may also be applied
to other estimation problems.
650 0 Statistics.
650 0 Mathematical statistics.
655 4 Electronic books.
655 7 Mathematical statistics.|2fast|0(OCoLC)fst01012127
655 7 Statistics.|2fast|0(OCoLC)fst01132103
700 1 Dr衧er, Klaus.
856 40 |3SpringerLink|uhttp://dx.doi.org.ezp.lib.unimelb.edu.au/
10.1007/978-1-4612-0215-8|zConnect to ebook (University of
Melbourne only)
990 Ebook load - do not edit, delete or attach any records.
994 92|bUMV