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In this paper, we establish a Bernstein-type inequality for widely orthant dependent random variables, and obtain the rates of strong convergence for kernel estimators of density and hazard functions, under some suitable conditions.

On the convergence rates of kernel estimator and hazard estimator for widely dependent samples