- Izpārdots
/https://libri-media.knygos-static.lt/aa360e8a-8c02-4f7d-92ec-88f9312ebaaf/4)
- Autors: Erich L. Lehmann, Joseph P. Romano
- Izdevējs Springer-Verlag GmbH
- Gads: 2006
- ISBN: 9780387276052
- ISBN-10 : 038727605X
- ISBN-13 : 9780387276052
- Formāts: PDF
- Valoda: Anglų
Atsauksmes
Apraksts
The third edition of Testing Statistical Hypotheses updates and expands upon the classic graduate text, emphasizing optimality theory for hypothesis testing and confidence sets. The principal additions include a rigorous treatment of large sample optimality, together with the requisite tools. In addition, an introduction to the theory of resampling methods such as the bootstrap is developed. The sections on multiple testing and goodness of fit testing are expanded. The text is suitable for Ph.D. students in statistics and includes over 300 new problems out of a total of more than 760.
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- Autors: Erich L. Lehmann, Joseph P. Romano
- Izdevējs Springer-Verlag GmbH
- Gads: 2006
- ISBN: 9780387276052
- ISBN-10: 038727605X
- ISBN-13: 9780387276052
- Formāts: PDF
- Valoda: Anglų
The third edition of Testing Statistical Hypotheses updates and expands upon the classic graduate text, emphasizing optimality theory for hypothesis testing and confidence sets. The principal additions include a rigorous treatment of large sample optimality, together with the requisite tools. In addition, an introduction to the theory of resampling methods such as the bootstrap is developed. The sections on multiple testing and goodness of fit testing are expanded. The text is suitable for Ph.D. students in statistics and includes over 300 new problems out of a total of more than 760.
Atsauksmes