This chapter contains miscellaneous material applying saddlepoint and other distribution function approximations to statistical inference. An approximation for the root of an estimating equation is presented. Series approximation methods in Bayesian inference and resampling will also be discussed.
KeywordsCumulative Distribution Function Maximum Likelihood Estimator Tail Probability Saddlepoint Approximation Tail Area
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