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Principles and procedures of statistics : a biometrical approach / Robert G. D. Steel, James H. Torrie, David A. Dickey.

By: Steel, Robert G. DContributor(s): Torrie, James H | Dickey, David AMaterial type: TextTextSeries: McGraw-Hill series in probability and statisticsPublication details: New York : McGraw-Hill, 1997. Edition: 3rd edISBN: 0070610282Subject(s): Mathematical statistics | BiomathematicsDDC classification: 519.5 LOC classification: QA276
Contents:
1. Introduction -- 2. Observations -- 3. Probability -- 4. Sampling from a Normal Distribution -- 5. Comparisons Involving Two Sample Means -- 6. Principles of Experimental Design -- 7. Analysis of Variance I: The One-Way Classification -- 8. Multiple Comparisons -- 9. Analysis of Variance II: Multiway Classifications -- 10. Linear Regression -- 11. Linear Correlation -- 12. Matrix Notation -- 13. Linear Regression in Matrix Notation -- 14. Multiple and Partial Regression and Correlation -- 15. Analysis of Variance III: Factorial Experiments -- 16. Analysis of Variance IV: Split-Plot Designs and Analysis -- 17. Analysis of Covariance -- 18. Analysis of Variance V: Unequal Subclass Numbers -- 19. Some Uses of Chi-Square -- 20. Enumeration Data I: One-Way Classifications -- 21. Enumeration Data II: Contingency Tables -- 22. Categorical Models -- 23. Some Discrete Distributions -- 24. Nonparametric Statistics -- 25. Sampling Finite Populations.
Holdings
Item type Home library Call number Status Date due Barcode Item holds
Two Week Loan Two Week Loan College Lane Learning Resources Centre
Main Shelves 		519.5 STE (Browse shelf(Opens below)) Available 4403902258
Total holds: 0

Enhanced descriptions from Syndetics:

1. Introduction -- 2. Observations -- 3. Probability -- 4. Sampling from a Normal Distribution -- 5. Comparisons Involving Two Sample Means -- 6. Principles of Experimental Design -- 7. Analysis of Variance I: The One-Way Classification -- 8. Multiple Comparisons -- 9. Analysis of Variance II: Multiway Classifications -- 10. Linear Regression -- 11. Linear Correlation -- 12. Matrix Notation -- 13. Linear Regression in Matrix Notation -- 14. Multiple and Partial Regression and Correlation -- 15. Analysis of Variance III: Factorial Experiments -- 16. Analysis of Variance IV: Split-Plot Designs and Analysis -- 17. Analysis of Covariance -- 18. Analysis of Variance V: Unequal Subclass Numbers -- 19. Some Uses of Chi-Square -- 20. Enumeration Data I: One-Way Classifications -- 21. Enumeration Data II: Contingency Tables -- 22. Categorical Models -- 23. Some Discrete Distributions -- 24. Nonparametric Statistics -- 25. Sampling Finite Populations.

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