Principles and procedures of statistics: a biometrical approach.
- Segunda Edición
- Estados Unidos de América McGraw-Hill 1980
- xiv, 633 páginas; table, figure; 23.5 cm x 5.5 cm
Chapter 1. Introduction Chapter 2. Observations Chapter 3. Probability Chapter 4. Sampling from a normal distribution Chapter 5. comparisons involving two sample means Chapter 6. Principles of experimental design Chapter 7. Analysis of variance I: The one-way classification Chapter 8. Multiple comparisons Chapter 9. Analysis of variance II: Multiway classifications Chapter 10. Linear regression Chapter 11. Linear correlation Chapter 12. Matrix notation Chapter 13. Linear regression in matrix notation Chapter 14. Multiple and partial regression and correlation Chapter 15. Analysis of variance III: Factorial experients Chapter 16. Analysis of variance IV: Split-plot designs and analysis Chapter 17. Analysis of covariance Chapter 18. Analysis of variance V: unequal subclass numbers Chapter 19. Curve fitting Chapter 20. Some uses of chi square Chapter 21. Enumeration data I: one-way classifications Chapter 22. Enumeration data II: Contingency tables Chapter 23. Some discrete distributions Chapter 24. Nonparametric statistics Chapter 25. Sanpling finite populations
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Goodness Binomial Homogeneity Covariance Linear Matrices Estimation