Estimating the common parameter of normal models with known coefficients of variation: a sensitivity study of asymptotically efficient estimators
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Publication:5433117
DOI10.1080/10629360600578221zbMath1144.62019OpenAlexW2035417926MaRDI QIDQ5433117
J. K. Ghorai, Vytaras Brazauskas
Publication date: 19 December 2007
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/10629360600578221
Asymptotic properties of parametric estimators (62F12) Applications of statistics to biology and medical sciences; meta analysis (62P10) Point estimation (62F10) Bayesian inference (62F15) Monte Carlo methods (65C05)
Related Items (6)
Sequential estimation of an inverse Gaussian mean with known coefficient of variation ⋮ Statistical tests for the reciprocal of a normal mean with a known coefficient of variation ⋮ Confidence intervals for the difference between normal means with known coefficients of variation ⋮ Small-sample performance of the MTM and MWM estimators for the parameters of log-location-scale families ⋮ Robust fitting of claim severity distributions and the method of trimmed moments ⋮ An energy-based free boundary asynchronous diffusion model for 3D warping of tissue dynamics
Cites Work
- Small sample performance of robust estimators of tail parameters for pareto and exponential models
- Rejection of Outliers
- Approximation Theorems of Mathematical Statistics
- Estimating the Mean of a Normal Distribution with Known Coefficient of Variation
- Numerical Analysis for Statisticians
- A Note on Estimating the Mean of a Normal Distribution with Known Coefficient of Variation
- Linear Statistical Inference and its Applications
- The Utilization of a Known Coefficient of Variation in the Estimation Procedure
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