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001 sulb-eb0025382
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008 130907s2013 gw | s |||| 0|eng d
020 _a9783642399121
_9978-3-642-39912-1
024 7 _a10.1007/978-3-642-39912-1
_2doi
050 4 _aQA276-280
072 7 _aPBT
_2bicssc
072 7 _aMAT029000
_2bisacsh
082 0 4 _a519.5
_223
100 1 _aBartholomew, David J.
_eauthor.
245 1 0 _aUnobserved Variables
_h[electronic resource] :
_bModels and Misunderstandings /
_cby David J. Bartholomew.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2013.
300 _aVII, 86 p. 5 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringerBriefs in Statistics,
_x2191-544X
505 0 _a1.Unobserved Variables -- 2.Measurement, Estimation and Prediction -- 3.Simple Mixtures -- 4.Models for Ability -- 5.A General Latent Variable Model -- 6.Prediction of Latent Variables -- 7.Identifiability -- 8.Categorical Variables -- 9.Models for Time Series -- 10.Missing Data -- 11.Social Measurement -- 12.Bayesian and Computational Methods -- 13.Unity and Diversity.
520 _aThe classical statistical problem typically involves a probability distribution which depends on a number of unknown parameters. The form of the distribution may be known, partially or completely, and inferences have to be made on the basis of a sample of observations drawn from the distribution; often, but not necessarily, a random sample. This brief deals with problems where some of the sample members are either unobserved or hypothetical, the latter category being introduced as a means of better explaining the data. Sometimes we are interested in these kinds of variable themselves and sometimes in the parameters of the distribution. Many problems that can be cast into this form are treated. These include: missing data, mixtures, latent variables, time series and social measurement problems. Although all can be accommodated within a Bayesian framework, most are best treated from first principles.
650 0 _aStatistics.
650 1 4 _aStatistics.
650 2 4 _aStatistics, general.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642399114
830 0 _aSpringerBriefs in Statistics,
_x2191-544X
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-39912-1
912 _aZDB-2-SMA
942 _2Dewey Decimal Classification
_ceBooks
999 _c47474
_d47474