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Inference and Asymptotics
Inference and Asymptotics
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A01=D.R. Cox
A01=O.E. Barndorff-Nielsen
Adjusted Profile Likelihood
advanced probability theory
asymptotic likelihood analysis
Author_D.R. Cox
Author_O.E. Barndorff-Nielsen
Bartlett Adjustment
Canonical Parameter
Category=PBT
Common Log Odds Ratio
Cumulative Distribution Function
D.R. Cox
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Exponential Family
General Log Likelihood Ratio
Higher Order Asymptotic Theory
Higher Order Asymptotics
higher-order statistics
likelihood methods
Likelihood Ratio Statistic
Log Likelihood Derivatives
Log Likelihood Ratio Statistic
Maximum Likelihood
Maximum Profile Likelihood Estimate
Modified Profile Likelihood
Normal Theory Linear Model
Nuisance Parameters
O.E. Barndorff-Nielsen
parametric models
Pivotal Distribution
Pivotal Quantities
Profile Likelihood
Profile Log Likelihood
pseudo-likelihood approaches
Regular Parametric Models
Signed Likelihood Ratio Statistic
statistical inference
Tensorial Derivatives
Unconditional Maximum Likelihood Estimates
Product details
- ISBN 9780412494406
- Weight: 680g
- Dimensions: 152 x 229mm
- Publication Date: 01 Mar 1994
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Hardback
This book provides a systematic account of some developments in asymptotic parametric inference from a likelihood-based perspective. It focuses on first-order asymptotic theory, and discusses the need for higher-order theory.
Inference and Asymptotics
€235.60
