Sufficient conditions for the strong consistency of least squares estimator with α-stable errors
João Tiago Mexia, João Lita da Silva (2007)
Discussiones Mathematicae Probability and Statistics
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Let , 1 ≤ i ≤ n, n ≥ 1 be a linear regression model and suppose that the random errors e₁, e₂, ... are independent and α-stable. In this paper, we obtain sufficient conditions for the strong consistency of the least squares estimator β̃ of β under additional assumptions on the non-random sequence x₁, x₂,... of real vectors.