Modern Statistical Inference
Theory and Methods
(Sprache: Englisch)
This textbook is suitable for a graaduate-level course for students interested in nonacademic jobs, such as for a pharmaceutical company. The needs of these students differ from those to plan to do statistical research, and the emphasis is on topics of applied interest.
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This textbook is suitable for a graaduate-level course for students interested in nonacademic jobs, such as for a pharmaceutical company. The needs of these students differ from those to plan to do statistical research, and the emphasis is on topics of applied interest.
Inhaltsverzeichnis zu „Modern Statistical Inference “
From the contents:- The Role of Models in Statistical Inference
- Likelihood Construction and Methods
- Large Sample Theory: The Basics
- Consistency and Asymptotic Normality of Maximum Likelihood Estimators
- M-Estimation (Asymptotic Results for Extimating Equations)
- Monte Carlo Simulation Studies
- Nonparametric Methods for Obtaining Standard Errors
- Bootstrap Confidence Intervals and Hypothesis Tests
- Permutation Tests
- Modern Nonparametric Statistics
Bibliographische Angaben
- Autoren: Dennis D. Boos , Leonard A. Stefanski
- 2006, 300 Seiten, Gebunden, Englisch
- Verlag: Springer, Berlin
- ISBN-10: 0387202765
- ISBN-13: 9780387202761
Sprache:
Englisch
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