Statistics for Physical Sciences

An Introduction

de

Éditeur :

Academic Press


Paru le : 2012-01-25



eBook Téléchargement ebook sans DRM
Lecture en ligne (streaming)
44,76

Téléchargement immédiat
Dès validation de votre commande
Ajouter à ma liste d'envies
Image Louise Reader présentation

Louise Reader

Lisez ce titre sur l'application Louise Reader.

Description
Statistics for Physical Sciences is an informal, relatively short, but systematic, guide to the more commonly used ideas and techniques in statistical analysis, as used in physical sciences, together with explanations of their origins. It steers a path between the extremes of a recipe of methods with a collection of useful formulas, and a full mathematical account of statistics, while at the same time developing the subject in a logical way. The book can be read in its entirety by anyone with a basic exposure to mathematics at the level of a first-year undergraduate student of physical science and should be useful for practising physical scientists, plus undergraduate and postgraduate students in these fields. - Offers problems at the end of each chapter - Features worked examples across all of the chapters - Provides a collection of useful formulas in order to give a detailed account of mathematical statistics
Pages
320 pages
Collection
n.c
Parution
2012-01-25
Marque
Academic Press
EAN papier
9780123877604
EAN EPUB SANS DRM
9780123877659

Prix
44,76 €

Prof. Brian R. Martin graduated from Birmingham University with a BSc in Physics and then moved to University College London (1962-1965) to take a PhD in Theoretical Physics. He was a Ford Foundation Fellow at the Institute for Theoretical Physics, Copenhagen University, Copenhagen; a NATO Postdoctoral Fellowship at the Neils Bohr Institute, Copenhagen; and a Research Associate in the Physics Department of Brookhaven National Laboratory, New York. Returning to University College London, he served as a Lecturer, then a Reader and Professor, before becoming Head of Department (1993-2004). Professor Martin retired as Professor Emeritus in October 2005.

Suggestions personnalisées