By Dennis D. Boos,Leonard A . Stefanski
This e-book is for college kids and researchers who've had a primary yr graduate point mathematical statistics direction. It covers classical probability, Bayesian, and permutation inference; an creation to simple asymptotic distribution conception; and glossy issues like M-estimation, the jackknife, and the bootstrap. R code is woven through the textual content, and there are a wide number of examples and problems.
An very important aim has been to make the themes obtainable to a large viewers, with little overt reliance on degree concept. A ordinary semester direction comprises Chapters 1-6 (likelihood-based estimation and trying out, Bayesian inference, easy asymptotic effects) plus decisions from M-estimation and comparable trying out and resampling methodology.
Dennis Boos and Len Stefanski are professors within the division of information at North Carolina State. Their learn has been eclectic, frequently with a robustness perspective, even supposing Stefanski is additionally recognized for research targeting dimension mistakes, together with a co-authored booklet on non-linear measurement error types. in recent times the authors have together labored on variable choice methods.
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