Jackknifing and bootstrapping quasi–likelihood estimators
From MaRDI portal
Publication:3350558
DOI10.1080/00949658808811098zbMath0726.62128OpenAlexW2094417894MaRDI QIDQ3350558
Jeffrey S. Simonoff, Chih-Ling Tsai
Publication date: 1988
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00949658808811098
outliersdispersion parameterquasi-likelihood functionsbootstrap percentile confidence intervalleverage pointsbootstrap estimatorlinear jackknife
Parametric tolerance and confidence regions (62F25) Generalized linear models (logistic models) (62J12) Nonparametric statistical resampling methods (62G09) Probabilistic methods, stochastic differential equations (65C99)
Related Items
Simultaneous confidence intervals of estimable functions based on quasi-likelihood in generalized linear models for over-dispersed data ⋮ A quadratic bootstrap method and improved estimation in logistic regression.
Cites Work
- A second-order investigation of asymptotic ancillarity
- Bootstrapping regression models
- Bootstrap methods: another look at the jackknife
- Jackknife, bootstrap and other resampling methods in regression analysis
- Quasi-likelihood functions
- NOTES ON BIAS IN ESTIMATION
- Jackknife-Based Estimators and Confidence Regions in Nonlinear Regression
- On the efficiency of quasi-likelihood estimation
- Better Bootstrap Confidence Intervals
- Bootstrap Confidence Intervals and Bootstrap Approximations
- Bias in nonlinear regression
- Jackknifing in Nonlinear Regression
- Jackknifing in Unbalanced Situations
- An Empirical Study of Jackknife-Constructed Confidence Regions in Nonlinear Regression