Data Reduction and Error Analysis for The Physical Sciences

Bevington, Philip R.; Robinson, D. Keith

ISBN 10: 0079112439 / ISBN 13: 9780079112439

Edité par McGraw-Hill College, 1992

A propos de cet article

In shrink wrap. Looks like an interesting title!

N° de réf. du vendeur Q-0079112439

Détails bibliographiques

• Titre: Data Reduction and Error Analysis for The Physical Sciences
• Éditeur: McGraw-Hill College
• Date de parution: 1992
• Langue: anglais
• ISBN à 10 chiffres: 0079112439
• ISBN à 13 chiffres: 9780079112439
• Reliure: paperback
• État de l'article: New

A propos de ce titre

Synopsis

This book is designed as a laboratory companion, student textbook or reference book for professional scientists. The text is for use in one-term numerical analysis, data and error analysis, or computer methods courses, or for laboratory use. It is for the sophomore-junior level, and calculus is a prerequisite. The new edition includes applications for PC use. The book provides an introduction to the techniques of data analysis and error reduction. Monte Carlo simulations have been added to this new edition to help students plan experiments and evaluate the statistical significance of results. A new section on cubic splines and their application to curve plotting has also been added and examples have been updated and are now written in Turbo Pascal. Problem sheets at the end of each chapter have been expanded to include exercises that range in complexity from simple statistical calculations to short projects. Computer routines are more detailed and complex, reflecting the stronger computing skills of today's students. Sample programs are provided in an appendix and on IBM diskettes to accommodate the increased complexity of the routines.

Présentation de l'éditeur

The purpose of this book is to provide an introduction to the concepts of statistical analysis of data for students at the undergraduate and graduate level, and to provide tools for data reduction and error analysis commonly required in the physical sciences. The presentation is developed from a practical point of view, including enough derivation to justify the results, but emphasizing methods of handling data more than theory. The text provides a variety of numerical and graphical techniques. Computer programs that support these techniques will be available on an accompanying website in both Fortran and C++.