Improved inference for moving average disturbances in nonlinear regression models

DOI10.1155/2014/207087zbMath1307.62174OpenAlexW2005983648WikidataQ59061343 ScholiaQ59061343MaRDI QIDQ2260576

Pierre Nguimkeu

Publication date: 11 March 2015

Published in: Journal of Probability and Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2014/207087

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) General nonlinear regression (62J02)

Related Items

Improved likelihood-based inference in Birnbaum-Saunders nonlinear regression models

Uses Software

• JMulTi

Cites Work

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• Highly accurate likelihood analysis for the seemingly unrelated regression problem
• Improved likelihood-based inference for the \(MA(1)\) model
• Improved likelihood-based inference for the stationary AR(2) model
• A note on the exact transformation associated with the first-order moving average process
• Analysis of logistic growth models
• Third-order inference for autocorrelation in nonlinear regression models
• Technological Forecasting—Model Selection, Model Stability, and Combining Models
• Time Series Forecasting Based on the Logistic Curve
• Modified signed log likelihood ratio
• The Estimation and Use of Models with Moving Average Disturbance Terms: A Survey
• Exact Maximum Likelihood Estimation of Regression Models with Finite Order Moving Average Errors
• A simple general formula for tail probabilities for frequentist and Bayesian inference
• Fitting a Gompertz Curve
• A simple noniterative estimator for moving average models