All of Statistics: A Concise Course in Statistical Inference (Springer Texts in Statistics)

All of Statistics: A Concise Course in Statistical Inference (Springer Texts in Statistics)

Larry Wasserman


Taken actually, the name "All of statistics" is an exaggeration. yet in spirit, the identify is apt, because the ebook does conceal a much wider diversity of themes than a regular introductory publication on mathematical records. This ebook is for those who are looking to research chance and statistics quick. it truly is appropriate for graduate or complex undergraduate scholars in machine technology, arithmetic, facts, and similar disciplines. The booklet comprises glossy subject matters like nonparametric curve estimation, bootstrapping, and clas­ sification, issues which are frequently relegated to follow-up classes. The reader is presumed to understand calculus and a bit linear algebra. No earlier wisdom of likelihood and records is needed. information, information mining, and laptop studying are all excited by gathering and reading information. For it slow, records study was once con­ ducted in data departments whereas information mining and desktop studying re­ seek used to be performed in machine technological know-how departments. Statisticians idea that desktop scientists have been reinventing the wheel. laptop scientists suggestion that statistical thought did not observe to their difficulties. issues are altering. Statisticians now realize that machine scientists are making novel contributions whereas machine scientists now realize the generality of statistical concept and method. shrewdpermanent info mining algo­ rithms are extra scalable than statisticians ever idea attainable. Formal sta­ tistical idea is extra pervasive than computing device scientists had learned.

Show sample text content

Download sample