Linear regression through the origin with constant coefficient of variation for the inverse gaussian distribution

DOI10.1080/03610928908830111zbMath0696.62270OpenAlexW2143552186MaRDI QIDQ3474053

Kōsei Iwase

Publication date: 1989

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

Full work available at URL: https://doi.org/10.1080/03610928908830111

zbMATH Keywords

confidence limitsuniformly minimum variance unbiased estimatorsMaximum likelihood estimateszero intercept

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Point estimation (62F10)

Related Items

POWER FUNCTION FOR INVERSE GAUSSIAN REGRESSION MODELS, Calibration for inverse gaussian regression, Asymptotic properties of the score test for varying dispersion in exponential family nonlinear models, Estimation for a scale parameter with known coefficient of variation

Cites Work

• Uniformly Minimum Variance Unbiased Estimation for the Inverse Gaussian Distribution
• Inverse Gaussian Ratio Estimation
• On the Uniformly Minimum Variance Unbiased Estimators of the Variance and its Reciprocal of an Inverse Gaussian Distribution