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|3 10.37376/1571-000-014-005
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| 041 |
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|a eng
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| 044 |
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|b ليبيا
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| 100 |
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|9 402450
|a El Khafifif, Faiza F.
|e Author
|g El Khafifif, Faiza F.
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| 245 |
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|a Lower and Upper Probabilities for Multiple Comparisons
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| 260 |
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|b جامعة بنغازي - كلية الآداب والعلوم بالمرج
|c 2016
|g يوليو
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| 300 |
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|a 1 - 21
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| 336 |
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|a بحوث ومقالات
|b Article
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| 520 |
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|b In recent years, nonparametric predictive inference (NPI) has been developed as a frequentist statistical framework which requires only few modelling assumptions and considers one or more future observations instead of a population. NPI uses lower and upper probabilities for uncertainty quantication, and has strong consistency properties within theory of interval probability. As NPI does not aim at inference for an entire population but instead explicitly considers one or more future observations, this provides an attractive alternative to standard methods of frequentist statistical inference. This work presents NPI for multiple comparisons and subset selection for ordinal categorical data. For events which are of most practical interest, closed-form formulae for the NPI lower and upper probabilities are derived. Some special cases are discussed and illustrated with examples.
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| 653 |
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|a الاحتمالات
|a الاستدلال الإحصائي
|a البيانات الترتيبية
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| 692 |
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|b Lower and Upper Probabilities
|b Multiple Comparisons
|b Nonparametric Predictive Inference
|b Ordinal Data
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| 700 |
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|a Coolen, P. F. P. A.
|e Co-Author
|g Coolen, P. F. P. A.
|9 402451
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| 773 |
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|4 العلوم الإنسانية ، متعددة التخصصات
|6 Humanities, Multidisciplinary
|c 005
|e Journal of Science and Humanities
|f Mağallaẗ al-ʿulūm wa-al-dirāsāt al-insāniyyaẗ
|l 014
|m ع14
|o 1571
|s مجلة العلوم والدراسات الإنسانية
|v 000
|x 2312-4962
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| 856 |
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|u 1571-000-014-005.pdf
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| 930 |
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|d y
|p y
|q y
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| 995 |
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|a HumanIndex
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| 999 |
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|c 763215
|d 763215
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