Testing Statistical Hypotheses

• Κύριοι συγγραφείς: Lehmann, E. L. (Συγγραφέας), Romano, Joseph P. (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: New York, NY : Springer New York, 2005.
• Έκδοση: 3.
• Σειρά: Springer Texts in Statistics,
• Θέματα: Statistics.; Statistical Theory and Methods.

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 add...

Πίνακας περιεχομένων:

• Small-Sample Theory
• The General Decision Problem
• The Probability Background
• Uniformly Most Powerful Tests
• Unbiasedness: Theory and First Applications
• Unbiasedness: Applications to Normal Distributions; Confidence Intervals
• Invariance
• Linear Hypotheses
• The Minimax Principle
• Multiple Testing and Simultaneous Inference
• Conditional Inference
• Large-Sample Theory
• Basic Large Sample Theory
• Quadratic Mean Differentiable Families
• Large Sample Optimality
• Testing Goodness of Fit
• General Large Sample Methods. .