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Statistics for Environmental Engineers (2002) / Mac Berthouex ، Paul، نویسنده
نوع مدرک:برنامه‌ها و فایلهای کامپیوتری
سرشناسهMac Berthouex ، Paul، نویسنده
عنوان :Statistics for Environmental Engineers
تکرار نام مولف :Linfield C. Brown
ناشر:بیجا : CRC Press LLC
سال نشر :2002
صفحه شمار:463
مندرجات1. Environmental Problems and Statistics
2. A Brief Review of Statistics
3. Plotting Data
4. Smoothing Data
5. Seeing the Shape of a Distribution
6. External Reference Distributions
7. Using Transformations
8. Estimating Percentiles
9. Accuracy, Bias, and Precision of Measurements
10. Precision of Calculated Values
11. Laboratory Quality Assurance
12. Fundamentals of Process Control Charts
13. Specialized Control Charts
14. Limit of Detection
15. Analyzing Censored Data
16. Comparing a Mean with a Standard
17. Paired t-Test for Assessing the Average of Differences
18. Independent t-Test for Assessing the Difference of Two Averages
19. Assessing the Difference of Proportions
20. Multiple Paired Comparisons of k Averages © 2002 By CRC Press LLC
21. Tolerance Intervals and Prediction Intervals
22. Experimental Design
23. Sizing the Experiment
24. Analysis of Variance to Compare k Averages
25. Components of Variance
26. Multiple Factor Analysis of Variance
27. Factorial Experimental Designs
28. Fractional Factorial Experimental Designs
29. Screening of Important Variables
30. Analyzing Factorial Experiments by Regression
31. Correlation
32. Serial Correlation
33.The Method of Least Squares
34. Precision of Parameter Estimates in Linear Models
35. Precision of Parameter Estimates in Nonlinear Models
36. Calibration
37. Weighted Least Squares
38. Empirical Model Building by Linear Regression
39. The Coefficient of Determination,R
40. Regression Analysis with Categorical Variables
41. The Effect of Autocorrelation on Regression
42. The Iterative Approach to Experimentation
43. Seeking Optimum Conditions by Response Surface Methodology © 2002 By CRC Press LLC
44. Designing Experiments for Nonlinear Parameter Estimation
45. Why Linearization Can Bias Parameter Estimates
46. Fitting Models to Multiresponse Data
47. A Problem in Model Discrimination
48. Data Adjustment for Process Rationalization
49. How Measurement Errors Are Transmitted into Calculated Values
50. Using Simulation to Study Statistical Problems
51. Introduction to Time Series Modeling
52. Transfer Function Models
53. Forecasting Time Series
54. Intervention Analysis
Appendix A. Statistical Tables
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زبان مدرک :English

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