2011, ISBN: 9781107617100

Cambridge University Press, 2011. Softcover. New. 15 x 23 cm. All students taking laboratory courses within the physical sciences and engineering will benefit from this book, whilst res… Mehr…

Cambridge University Press, 2011. Softcover. New. 15 x 23 cm. 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. Contents 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. Printed Pages: 237., Cambridge University Press, 2011, 6<

2011, ISBN: 9781107617100

Cambridge University Press, 2011. Softcover. New. 15 x 23 cm. All students taking laboratory courses within the physical sciences and engineering will benefit from this book, whilst res… Mehr…

Cambridge University Press, 2011. Softcover. New. 15 x 23 cm. 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. Contents 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. Printed Pages: 237., Cambridge University Press, 2011, 6<