عنوان

A student's guide to data and error analysis /

(Number (ISBN

0521119405 (hardback)

(Number (ISBN

0521134927 (pbk.)

(Number (ISBN

9780521119405 (hardback)

(Number (ISBN

9780521134927 (pbk.)

Number

dltt

Title Proper

A student's guide to data and error analysis /

General Material Designation

[Book]

First Statement of Responsibility

Herman J.C. Berendsen

Place of Publication, Distribution, etc.

New York :

Name of Publisher, Distributor, etc.

Cambridge University Press,

Date of Publication, Distribution, etc.

2011

Specific Material Designation and Extent of Item

xii, 225 p. :

Other Physical Details

ill. ;

Dimensions

24 cm

Text of Note

Includes bibliographical references and index

Text of Note

Machine generated contents note: Part I. Data and Error Analysis: 1. Introduction; 2. The presentation of physical quantities with their inaccuracies; 3. Errors: classification and propagation; 4. Probability distributions; 5. Processing of experimental data; 6. Graphical handling of data with errors; 7. Fitting functions to data; 8. Back to Bayes: knowledge as a probability distribution; Answers to exercises; Part II. Appendices: A1. Combining uncertainties; A2. Systematic deviations due to random errors; A3. Characteristic function; A4. From binomial to normal distributions; A5. Central limit theorem; A6. Estimation of th varience; A7. Standard deviation of the mean; A8. Weight factors when variances are not equal; A11. Least squares fitting; Part III. Python codes; Part IV. Scientific data: Chi-squared distribution; F-distribution; Normal distribution; Physical constants; Probability distributions; Student's t-distribution; Units

8

Text of Note

"All students taking laboratory courses within the physical sciences and engineering will benefit from this book, whilst researchers will find it an invaluable reference. This concise, practical guide brings the reader up-to-speed on the proper handling and presentation of scientific data and its inaccuracies. It covers all the vital topics with practical guidelines, computer programs (in Python), and recipes for handling experimental errors and reporting experimental data. In addition to the essentials, it also provides further background material for advanced readers who want to understand how the methods work. Plenty of examples, exercises and solutions are provided to aid and test understanding, whilst useful data, tables and formulas are compiled in a handy section for easy reference"--

Error analysis (Mathematics)

Number

Edition

Class number

Book number

Berendsen, Herman J. C

Date of Transaction

20110606114157.0

Electronic name

[Book]

Y