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010   $a3-642-39041-2
024 7 $a10.1007/978-3-642-39041-8
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035   $a(DE-He213)978-3-642-39041-8
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100   $a20130730d2013      u|         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aStatistical Models for Proportions and Probabilities /$fby George A.F. Seber
205   $a1st ed. 2013.
210  1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2013.
215   $a1 online resource (74 p.)
225 1 $aSpringerBriefs in Statistics,$x2191-5458
300   $aDescription based upon print version of record.
311 08$a3-642-39040-4 
320   $aIncludes bibliographic references.
327   $a1.Single Proportion -- 2.Single Probability -- 3.Several Proportions or Probabilities -- 4.Multivariate Hypothesis Tests -- 5.Logarithmic Models.
330   $aMethods for making inferences from data about one or more probabilities and proportions are a fundamental part of a statistician?s toolbox and statistics courses. Unfortunately many of the quick, approximate methods currently taught have recently been found to be inappropriate. This monograph gives an up-to-date review of recent research on the topic and presents both exact methods and helpful approximations. Detailed theory is also presented for the different distributions involved, and can be used in a classroom setting. It will be useful for those teaching statistics at university level and for those involved in statistical consulting.
410  0$aSpringerBriefs in Statistics,$x2191-5458
606   $aStatistics
606   $aStatistical Theory and Methods
615  0$aStatistics.
615 14$aStatistical Theory and Methods.
676   $a519.5
701   $aSeber$b George A. F$01058331
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910438028003321
996   $aStatistical models for proportions and probabilities$94191854
997   $aUNINA