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The Theory and Applications of Statistical Inference Functions /

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This monograph develops an approach to statistical inference that is both comprehensive in its treatment of statistical principles and sufficiently powerful to be applicable to a variety of important practical problems, such as inference for stochastic processes and classes of estimating functions....

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Bibliographic Details
Main Author: McLeish, D. L.
Corporate Author: SpringerLink (Online service)
Other Authors: Small, Christopher G.
Format: eBook
Language:English
Published: New York, NY : Springer New York, 1988.
Series:Lecture notes in statistics (Springer-Verlag) ; 44.
Subjects:
Statistics.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Introduction
  • The Space of Inference Functions: Ancillarity, Sufficiency and Projection
  • Selecting an Inference Function for 1-Parameter Models
  • Nuisance Parameters
  • Inference Under Restrictions
  • Inference for Stochastic Processes
  • References
  • Index.