Abstract
A new type of accelerated sequential procedure is developed and its associated second-order characteristics are investigated. In the case of a few known sequential estimation problems, it is shown that the new methodology (i) is flexible in terms of what one plugs in as the estimator of the nuisance parameter in the boundary condition, and (ii) can economize at the same time on the starting sample size condition to provide second-order properties similar to those already available for the existing methodologies. The power and novelty of the newly constructed sampling techniques are also substantiated by the simplicity of derivation of the second-order expansions for the regret function associated with the estimator of the scale parameter of an exponential distribution, as well as in the context of one-sample and two-sample problems for estimating means when the distributions are unspecified.

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