This handbook is designed for experimental scientists, particularly those in the life sciences.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Part I. Basic numerical techniques: 1. Introduction 2. Errors, mistakes and the arrangement of work 3. The real roots of non-linear equations 4. Simple methods for smoothing crude data 5. The area under a curve 6. Finite differences, interpolation and numerical differentiation 7. Some other numerical techniques Part II. Basic Statistical techniques: 8. Probability, statistical distributions and moments 9. The normal and related distributions 10. The common discrete distributions 10. The common discrete distributions 11. The Pearson system of probability-density functions 12. Hypothesis testing 13. Point and interval estimation 14. Some special statistical techniques Part III. The method of least squares: 15. Simple linear regression and the method of least squares 16. Curvilinear regression 17. Multiple linear regression 18. Non-linear regression.
Part I. Basic numerical techniques: 1. Introduction 2. Errors, mistakes and the arrangement of work 3. The real roots of non-linear equations 4. Simple methods for smoothing crude data 5. The area under a curve 6. Finite differences, interpolation and numerical differentiation 7. Some other numerical techniques Part II. Basic Statistical techniques: 8. Probability, statistical distributions and moments 9. The normal and related distributions 10. The common discrete distributions 10. The common discrete distributions 11. The Pearson system of probability-density functions 12. Hypothesis testing 13. Point and interval estimation 14. Some special statistical techniques Part III. The method of least squares: 15. Simple linear regression and the method of least squares 16. Curvilinear regression 17. Multiple linear regression 18. Non-linear regression.
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