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Statistical inference

By: Li, Jerome.
Material type: materialTypeLabelBookPublisher: Michigan Edwards Brothers 1966Edition: 1ª edición.Description: 658 páginas.Subject(s): Matemáticas estadísticasDDC classification: 519.5 Summary: Volume I Chapter 1: Introduction Chapter 2: Descriptive statistics Chapter 3: The normal distribution Chapter 4: Sampling experiments Chapter 5: Sample mean Chapter 6: Test of hypothesis Chapter 7: Sample variance―x²-distribution Chapter 8: Student's t-distribution Chapter 9: Variance-ratio―f-distribution Chapter 10: Difference between sample means Chapter 11: Confidence interval Chapter 12: Analysis of variance―one-way classification Chapter 13: Review Chapter 14: Randomized blocks Chapter 15: Tests of specific hypotheses in the analysis of variance Chapter 16: Linear regression―I Chapter 17: Linear regression―II Chapter 18: Factorial experiment Chapter 19: Analysis of covariance Chapter 20: Review II Chapter 21: Sampling from binomial population Chapter 22: Sampling from multinomial population Chapter 23: Some commonly used transformations Chapter 24: Distribution-free methods Chapter 25: Review III Chapter 26: Miscellaneous methods Appendix
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Revised edition of "Introduction to statistical inference": a non-mathematical exposition of the theory of statistics

Volume I Chapter 1: Introduction Chapter 2: Descriptive statistics Chapter 3: The normal distribution Chapter 4: Sampling experiments Chapter 5: Sample mean Chapter 6: Test of hypothesis Chapter 7: Sample variance―x²-distribution Chapter 8: Student's t-distribution Chapter 9: Variance-ratio―f-distribution Chapter 10: Difference between sample means Chapter 11: Confidence interval Chapter 12: Analysis of variance―one-way classification Chapter 13: Review Chapter 14: Randomized blocks Chapter 15: Tests of specific hypotheses in the analysis of variance Chapter 16: Linear regression―I Chapter 17: Linear regression―II Chapter 18: Factorial experiment Chapter 19: Analysis of covariance Chapter 20: Review II Chapter 21: Sampling from binomial population Chapter 22: Sampling from multinomial population Chapter 23: Some commonly used transformations Chapter 24: Distribution-free methods Chapter 25: Review III Chapter 26: Miscellaneous methods Appendix

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