Quasi-Likelihood and its Application A General Approach to Optimal Parameter Estimation /

This book is concerned with the general theory of optimal estimation of - rameters in systems subject to random e?ects and with the application of this theory. The focus is on choice of families of estimating functions, rather than the estimators derived therefrom, and on optimization within these f...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Heyde, Christopher C. (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: New York, NY : Springer New York, 1997.
Σειρά:Springer Series in Statistics,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • The General Framework
  • An Alternative Approach: E-Sufficiency
  • Asymptotic Confidence Zones of Minimum Size
  • Asymptotic Quasi-Likelihood
  • Combining Estimating Functions
  • Projected Quasi-Likelihood
  • Bypassing the Likelihood
  • Hypothesis Testing
  • Infinite Dimensional Problems
  • Miscellaneous Applications
  • Consistency and Asymptotic Normality for Estimating Functions
  • Complements and Strategies for Application.