Robust Estimation and Hypothesis Testing of Linear Contrasts in Analysis of Covariance with Stochastic Covariates
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Publication:3592665
DOI10.1080/02664760600994869zbMath1119.62342OpenAlexW1978902989MaRDI QIDQ3592665
Publication date: 13 September 2007
Published in: Journal of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02664760600994869
Parametric hypothesis testing (62F03) Point estimation (62F10) Robustness and adaptive procedures (parametric inference) (62F35) Analysis of variance and covariance (ANOVA) (62J10)
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Two-way ANOVA when the distribution of the error terms is skew t ⋮ Stochastic analysis of covariance when the error distribution is long-tailed symmetric ⋮ Robust estimation and testing in one-way ANOVA for Type II censored samples: skew normal error terms
Cites Work
- Unnamed Item
- A new method of estimation for location and scale parameters
- Estimation and hypothesis testing for a new family of bivariate nonnormal distributions
- Modified maximum likelihood estimators for the bivariate normal based on type ii censored samples
- Robust 2kfactorial design with Weibull error distributions
- The Asymptotics of Maximum Likelihood and Related Estimators Based on Type II Censored Data
- THE ANALYSIS OF VARIANCE IN CASES OF NON-NORMAL VARIATION
- NONNORMAL REGRESSION. I. SKEW DISTRIBUTIONS
- NONNORMAL REGRESSION. II. SYMMETRIC DISTRIBUTIONS
- ANALYSIS OF VARIANCE IN EXPERIMENTAL DESIGN WITH NONNORMAL ERROR DISTRIBUTIONS
- Regression Analysis with a Stochastic Design Variable
- Estimation and hypothesis testing for a nonnormal bivariate distribution with applications
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