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The aim of this book is to present the mathematics underlying elementary statistical methods in as simple a manner as possible. These methods include.
Table of contents

Moore, James C. Wood and D.

Saville "A geometric examination of linear model assumptions", Australian and New Zealand Journal of Statistics 55 — Morel, D. Sirisatien and G. Wood "Cotranslational protein folding and terminus hydrophobicity", Advances in Bioinformatics Volume , Article ID , 8 pp.


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Statistical Methods: A Geometric Primer - David J. Saville, Graham R. Wood - Google книги

Lance, Charlotte M. An honors graduate in politics, he pursued a business career that took him around most of the world. From this, he has returned to his first loves-the mystery novel, his home in Wales and an affair with France and all things French.


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Statistical Methods: The Geometric Approach. David Saville , Graham R. This book is a novel exposition of the traditional workhorses of statistics: analysis of variance and regression. The solution of the inverse problem is a distribution that updates the original probability distribution of f by incorporating the information provided by the data. Whichever approach we choose, probability and statistics play a key role in the solution of the inverse problem.

Statistical Methods 2

Probability provides the basic mathematical framework while statistics becomes important once we consider data and inference. In this chapter we provide the background in probability and statistics that is required for UQ of inverse problems.

Submission history

The chapter also serves as an introduction to statistics and probability for UQ in other applications. Sign in Help View Cart. Manage this Chapter. Add to my favorites.