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Numerical Methods of Curve Fitting

P. G. Guest

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ISBN 10: 1107646952 / ISBN 13: 9781107646957
Published by Cambridge University Press
New Condition: New Soft cover
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About this Item

438 pages. Dimensions: 9.0in. x 6.0in. x 1.3in.First published in 1961, this book provides information on the methods of treating series of observations, the field covered embraces portions of both statistics and numerical analysis. Originally intended as an introduction to the topic aimed at students and graduates in physics, the types of observation discussed reflect the standard routine work of the time in the physical sciences. The text partly reflects an aim to offer a better balance between theory and practice, reversing the tendency of books on numerical analysis to omit numerical examples illustrating the applications of the methods. This book will be of value to anyone with an interest in the theoretical development of its field. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Bookseller Inventory # 9781107646957

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Bibliographic Details

Title: Numerical Methods of Curve Fitting

Publisher: Cambridge University Press

Binding: Paperback

Book Condition:New

Book Type: Paperback

About this title

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First published in 1961, this book provides information on the methods of treating series of observations, the field covered embraces portions of both statistics and numerical analysis. Originally intended as an introduction to the topic aimed at students and graduates in physics, the types of observation discussed reflect the standard routine work of the time in the physical sciences. The text partly reflects an aim to offer a better balance between theory and practice, reversing the tendency of books on numerical analysis to omit numerical examples illustrating the applications of the methods. This book will be of value to anyone with an interest in the theoretical development of its field.

Book Description:

First published in 1961, this book provides information on the methods of treating series of observations; the field covered embraces portions of both statistics and numerical analysis. This book will be of value to anyone with an interest in the theoretical development of its field.

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