Probability and Statistics for Physical Sciences, Second Edition is an accessible guide to commonly used concepts and methods in statistical analysis used in the physical sciences. This brief yet systematic introduction explains the origin of key techniques, providing mathematical background and useful formulas. The text does not assume any background in statistics and is appropriate for a wide-variety of readers, from first-year undergraduate students to working scientists across many disciplines.
Probability and Statistics for Physical Sciences, Second Edition is an accessible guide to commonly used concepts and methods in statistical analysis used in the physical sciences. This brief yet systematic introduction explains the origin of key techniques, providing mathematical background and useful formulas. The text does not assume any background in statistics and is appropriate for a wide-variety of readers, from first-year undergraduate students to working scientists across many disciplines.
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.
Inhaltsangabe
1. Statistics, Experiments, and Data 2. Probability 3. Probability Distributions I: Basic Concepts 4. Probability Distributions II: Examples 5. Sampling and Estimation 6. Sampling Distributions Associated with the Normal Distribution 7. Parameter Estimation I: Maximum Likelihood and Minimum Variance 8. Parameter Estimation II: Least-Squares and Other Methods 9. Interval Estimation 10. Hypothesis Testing I: Parameters 11. Hypothesis Testing II: Other Tests Appendices 1. Miscellaneous Mathematics 2. Optimization of Nonlinear Functions 3. Statistical Tables 4. Answers to Selected Problems
1. Statistics, Experiments, and Data 2. Probability 3. Probability Distributions I: Basic Concepts 4. Probability Distributions II: Examples 5. Sampling and Estimation 6. Sampling Distributions Associated with the Normal Distribution 7. Parameter Estimation I: Maximum Likelihood and Minimum Variance 8. Parameter Estimation II: Least-Squares and Other Methods 9. Interval Estimation 10. Hypothesis Testing I: Parameters 11. Hypothesis Testing II: Other Tests Appendices 1. Miscellaneous Mathematics 2. Optimization of Nonlinear Functions 3. Statistical Tables 4. Answers to Selected Problems
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