By F. Liese,Klaus-J. Miescke
For complicated graduate scholars, this publication is a one-stop store that offers the most rules of determination conception in an prepared, balanced, and mathematically rigorous demeanour, whereas gazing statistical relevance. the entire significant subject matters are brought at an effortless point, then constructed incrementally to better degrees. The booklet is self-contained because it offers complete proofs, worked-out examples, and difficulties. The authors current a rigorous account of the suggestions and a large therapy of the most important result of classical finite pattern dimension determination conception and glossy asymptotic selection thought. With its huge assurance of selection conception, this booklet fills the space among average graduate texts in mathematical data and complex monographs on smooth asymptotic theory.
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Statistical Decision Theory: Estimation, Testing, and Selection (Springer Series in Statistics) by F. Liese,Klaus-J. Miescke
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