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fBrbGRJx Now available in paperback. This book covers some recent developments in statistical inference. The author's main aim is to develop a theory of generalized p-values and generalized confidence intervals and to show how these concepts may be used to make exact statistical inferences in a …
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ference. Research in this field has been very active in the last years. Machine Learning Methods will be briefly reviewed, but previous knowledge on the level Efron and Hastie (2016) or in the PhD Course “Statistical Analysis of Big Data” is recommended.
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Estimation: recent developments and new challenges 18 ' & $ % The Statistical Paradigm -3-∙ Statistical Inference – Estimation individual inefficiencies (“rankings”) – Confidence intervals for these measures – Specification tests ∗ Aggregation of inputs and/or outputs ∗ Relevance of the chosen variables
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