Monitoring Structural Changes in Generalized Linear Models
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Publication:3391838
DOI10.1080/03610920802549910zbMath1167.62072OpenAlexW2094166934MaRDI QIDQ3391838
Wenzhi Zhao, Pengjiang Guo, Zhiming Xia
Publication date: 13 August 2009
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610920802549910
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Related Items (11)
Ratio detections for change point in heavy tailed observations ⋮ One dimensional scan statistics generated by some dependent stationary sequences ⋮ Approximations and inequalities for moving sums ⋮ Two tests for sequential detection of a change-point in a nonlinear model ⋮ Real time change-point detection in a nonlinear quantile model ⋮ Monitoring Variance Change in Infinite Order Moving Average Processes and Nonstationary Autoregressive Processes ⋮ CUSUM Methods for Monitoring Structural Changes in Structural Equations ⋮ Approximations for the boundary crossing probabilities of moving sums of random variables ⋮ Sequential change-point detection in a multinomial logistic regression model ⋮ Sequential change point detection in linear quantile regression models ⋮ Variable Window Scan Statistics for Normal Data
Cites Work
- A note on monitoring time-varying parameters in an autoregression
- Consistency and asymptotic normality of the maximum likelihood estimator in generalized linear models
- Limit theorems for change in linear regression
- Detection of structural changes in generalized linear models
- Monitoring changes in linear models
- MONITORING STRUCTURAL CHANGES WITH THE GENERALIZED FLUCTUATION TEST
- Change‐point monitoring in linear models
- Generalized M‐fluctuation tests for parameter instability
- Testing for the Constancy of Parameters Over Time
- The Use of MOSUMS for Quality Control
- The Cusum Test with Ols Residuals
- Tests For Constancy Of Model Parameters Over Time
- MOSUM tests for parameter constancy
- The generalized fluctuation test: A unifying view
- Monitoring Structural Change
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