By Dennis D. Boos,Leonard A . Stefanski
ISBN-10: 1461448174
ISBN-13: 9781461448174
ISBN-10: 1489987932
ISBN-13: 9781489987938
This e-book is for college students and researchers who've had a primary 12 months graduate point mathematical statistics direction. It covers classical chance, Bayesian, and permutation inference; an creation to easy asymptotic distribution thought; and glossy themes like M-estimation, the jackknife, and the bootstrap. R code is woven during the textual content, and there are a wide number of examples and problems.
An very important aim has been to make the subjects available to a large viewers, with little overt reliance on degree idea. A standard semester path involves Chapters 1-6 (likelihood-based estimation and checking out, Bayesian inference, uncomplicated asymptotic effects) plus decisions from M-estimation and comparable checking out and resampling methodology.
Dennis Boos and Len Stefanski are professors within the division of records at North Carolina State. Their examine has been eclectic, usually with a robustness perspective, even though Stefanski is usually recognized for research focused on dimension mistakes, together with a co-authored publication on non-linear measurement error types. in recent times the authors have together labored on variable choice methods.
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Essential Statistical Inference: Theory and Methods: 120 (Springer Texts in Statistics) by Dennis D. Boos,Leonard A . Stefanski
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