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Robust estimation for independent non-homogeneous observations using density power divergence with applications to linear regression
In real life we often have to deal with situations where the sampled observations are independent and share common parameters in their distribution but are not identically distributed. While the methods based on maximum likelihood provide canonical approaches for doing statistical inference in such contexts, it carries with it the …