Probability and statistics for engineering and the sciences/ Jay L. Devore

By: Devore, Jay LPublication details: New Delhi: Cengage Learning, 2019Edition: 8th edDescription: xvi, 687 p. : ill. ; 24 cmISBN: 9788131518397; 8131518396Subject(s): Probabilities | Mathematical statistics | Engineering--Statistical methods | StatisticsDDC classification: 519.5
Contents:
1. Overview and descriptive statistics -- 2. Probability -- 3. Discrete random variables and probability distributions -- 4. Continuous random variables and probability distributions -- 5. Joint probability distributions and random samples -- 6. Point estimation -- 7. Statistical intervals based on a single sample -- 8. Tests of hypotheses based on single sample -- 9. Inferences based on two samples -- 10. The analysis of variance -- 11. Multifactor analysis of variance -- 12. Simple linear regression and correlation -- 13. Nonlinear and multiple regression -- 14. Goodness-of-fit tests and categorical data analysis -- 15. Distribution-free procedures -- 16. Quality control methods.
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Holdings
Item type Current library Call number Copy number Status Date due Barcode Item holds
General Books General Books Central Library, Sikkim University
General Book Section
519.5 DEV/P (Browse shelf(Opens below)) C1 Available 48049
General Books General Books Central Library, Sikkim University
General Book Section
519.5 DEV/P (Browse shelf(Opens below)) C2 Available 48050
Total holds: 0

1. Overview and descriptive statistics --
2. Probability --
3. Discrete random variables and probability distributions --
4. Continuous random variables and probability distributions --
5. Joint probability distributions and random samples --
6. Point estimation --
7. Statistical intervals based on a single sample --
8. Tests of hypotheses based on single sample --
9. Inferences based on two samples --
10. The analysis of variance --
11. Multifactor analysis of variance --
12. Simple linear regression and correlation --
13. Nonlinear and multiple regression --
14. Goodness-of-fit tests and categorical data analysis --
15. Distribution-free procedures --
16. Quality control methods.

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