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- W4246565719 abstract "Data sets in numerous areas of application can be modelled by symmetric bivariate nonnormal distributions. Estimation of parameters in such situations is considered when the mean and variance of one variable is a linear and a positive function of the other variable. This is typically true of bivariate t distribution. The resulting estimators are found to be remarkably efficient. Hypothesis testing procedures are developed and shown to be robust and powerful. Real life examples are given." @default.
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- W4246565719 date "2008-01-01" @default.
- W4246565719 modified "2023-10-14" @default.
- W4246565719 title "Estimation in bivariate nonnormal distributions with stochastic variance functions" @default.
- W4246565719 doi "https://doi.org/10.1016/j.csda.2007.05.027" @default.
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