111,09 €
Computer Intensive Statistical Methods
Computer Intensive Statistical Methods
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Computer Intensive Statistical Methods
Computer Intensive Statistical Methods
El. knyga:
111,09 €
In engineering work and other practical situations, methods of a &quote;&quote;non-stop&quote;&quote; character are often needed. The computer intensive methods outlined in this book should show how to pass many obstacles that could not previously be overcome. Much emphasis in this book is placed on applications in science, economics, reliability, meteorology, medicine and transportation. In principle every area where data deserve statistical analyses there is a relevant applica…

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In engineering work and other practical situations, methods of a &quote;&quote;non-stop&quote;&quote; character are often needed. The computer intensive methods outlined in this book should show how to pass many obstacles that could not previously be overcome. Much emphasis in this book is placed on applications in science, economics, reliability, meteorology, medicine and transportation. In principle every area where data deserve statistical analyses there is a relevant application of these new methods. This book is aimed at classically educated statisticians as well as the younger generation. The key points of the book include: an introduction to the &quote;&quote;bootstrap&quote;&quote; method at elementary and advanced levels, examples of computer programmes and a review of the new methodology and its applications.

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In engineering work and other practical situations, methods of a &quote;&quote;non-stop&quote;&quote; character are often needed. The computer intensive methods outlined in this book should show how to pass many obstacles that could not previously be overcome. Much emphasis in this book is placed on applications in science, economics, reliability, meteorology, medicine and transportation. In principle every area where data deserve statistical analyses there is a relevant application of these new methods. This book is aimed at classically educated statisticians as well as the younger generation. The key points of the book include: an introduction to the &quote;&quote;bootstrap&quote;&quote; method at elementary and advanced levels, examples of computer programmes and a review of the new methodology and its applications.

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