Maximum likelihood estimation in simple linear regression with one fold nested error

DOI10.1080/03610929508831478zbMath0825.62263OpenAlexW1965363357MaRDI QIDQ4843923

Bilgehan Güven

Publication date: 17 August 1995

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610929508831478

zbMATH Keywords

maximum likelihood estimationpolynomial equationrepeated roots

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (3)

Testing for random effect in the Fuller–Battese model ⋮ Applied regression analysis bibliography update 1994-97 ⋮ Minimum Variance Quadratic Unbiased Estimation for the Variance Components in Simple Linear Regression with Onefold Nested Error

Cites Work

• Studies on the hypothesis testing of the slope parameter in the simple linear regression model with one-fold nested error structure
• Studies on the estimation of the slope parameter in the simple linear regression model with one-fold nested error structure
• Efficient Inference for Random-Coefficient Growth Curve Models with Unbalanced Data
• Recovery of inter-block information when block sizes are unequal

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