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  • Search: subject:"multivariate chi-squared distribution"
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Year of publication
Subject
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multivariate chi-squared distribution 3 Statistischer Test 2 Theorie 2 Wald statistic 2 false discovery rate 2 family-wise error rate 2 likelihood ratio statistic 2 multiple hypothesis testing 2 time series regression 2 Faktorenanalyse 1 Inferenzstatistik 1 Monotonically sub-Markovian 1 Sidák correction 1 multiple test 1 multiplicity correction 1 positive orthant dependence 1 single-step test 1 subset pivotality 1
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Online availability
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Free 3
Type of publication
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Book / Working Paper 3
Type of publication (narrower categories)
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Working Paper 2
Language
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English 2 Undetermined 1
Author
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Dickhaus, Thorsten 3 Stange, Jens 1
Institution
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Sonderforschungsbereich 649: Ökonomisches Risiko, Wirtschaftswissenschaftliche Fakultät 1
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SFB 649 Discussion Paper 2 SFB 649 Discussion Papers 1
Source
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EconStor 2 RePEc 1
Showing 1 - 3 of 3
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Simultaneous statistical inference in dynamic factor models
Dickhaus, Thorsten - 2012
Based on the theory of multiple statistical hypothesis testing, we elaborate simultaneous statistical inference methods in dynamic factor models. In particular, we employ structural properties of multivariate chi-squared distributions in order to construct critical regions for vectors of...
Persistent link: https://www.econbiz.de/10010318738
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Multiple point hypothesis test problems and effective numbers of tests
Dickhaus, Thorsten; Stange, Jens - 2012
We consider a special class of multiple testing problems, consisting of M simultaneous point hypothesis tests in local statistical experiments. Under certain structural assumptions the global hypothesis contains exactly one element v* (say), and v* is least favourable parameter configuration...
Persistent link: https://www.econbiz.de/10010318763
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Simultaneous Statistical Inference in Dynamic Factor Models
Dickhaus, Thorsten - Sonderforschungsbereich 649: Ökonomisches Risiko, … - 2012
Based on the theory of multiple statistical hypothesis testing, we elaborate simultaneous statistical inference methods in dynamic factor models. In particular, we employ structural properties of multivariate chi-squared distributions in order to construct critical regions for vectors of...
Persistent link: https://www.econbiz.de/10010547921
Saved in:
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