کیمومتریکس در طیف‌سنجی ۲۰۱۰
Chemometrics in Spectroscopy 2010

1. Cover image

2. Title page

3. Table of Contents

4. Preface

5. Note to Readers

6. Chapter 1: A New Beginning. . .

7. Chapter 2: Elementary Matrix Algebra: Part 1

8. Chapter 3: Elementary Matrix Algebra: Part 2

9. Chapter 4: Matrix Algebra and Multiple Linear Regression: Part 1

10. Chapter 5: Matrix Algebra and Multiple Linear Regression: Part 2

11. Chapter 6: Matrix Algebra and Multiple Linear Regression: Part 3 – The Concept of Determinants

12. Chapter 7: Matrix Algebra and Multiple Linear Regression: Part 4 – Concluding Remarks

13. Chapter 8: Experimental Designs: Part 1

14. Chapter 9: Experimental Designs: Part 2

15. Chapter 10: Experimental Designs: Part 3

16. Chapter 11: Analytic Geometry: Part 1 – The Basics in Two and Three Dimensions

17. Chapter 12: Analytic Geometry: Part 2 – Geometric Representation of Vectors and Algebraic Operations

18. Chapter 13: Analytic Geometry: Part 3 – Reducing Dimensionality

19. Chapter 14: Analytic Geometry: Part 4 – The Geometry of Vectors and Matrices

20. Chapter 15: Experimental Designs: Part 4 – Varying Parameters to Expand the Design

21. Chapter 16: Experimental Designs: Part 5 – One-at-a-time Designs

22. Chapter 17: Experimental Designs: Part 6 – Sequential Designs

23. Chapter 18: Experimental Designs: Part 7 – β, the Power of a Test

24. Chapter 19: Experimental Designs: Part 8 – β, the Power of a Test (Continued)

25. Chapter 20: Experimental Designs: Part 9 – Sequential Designs Concluded

26. Chapter 21: Calculating the Solution for Regression Techniques: Part 1 – Multivariate Regression Made Simple

27. Chapter 22: Calculating the Solution for Regression Techniques: Part 2 – Principal Component(s) Regression Made Simple

28. Chapter 23: Calculating the Solution for Regression Techniques: Part 3 – Partial Least Squares Regression Made Simple

29. Chapter 24: Looking Behind and Ahead: Interlude

30. Chapter 25: A Simple Question: The Meaning of Chemometrics Pondered

31. Chapter 26: Calculating the Solution for Regression Techniques: Part 4 – Singular Value Decomposition

32. Chapter 27: Linearity in Calibration

33. Chapter 28: Challenges: Unsolved Problems in Chemometrics

34. Chapter 29: Linearity in Calibration: Act II Scene I

35. Chapter 30: Linearity in Calibration: Act II Scene II – Reader’s Comments …

36. Chapter 31: Linearity in Calibration: Act II Scene III

37. Chapter 32: Linearity in Calibration: Act II Scene IV

38. Chapter 33: Linearity in Calibration: Act II Scene V

39. Chapter 34: Collaborative Laboratory Studies: Part 1 – A Blueprint

40. Chapter 35: Collaborative Laboratory Studies: Part 2 – using ANOVA

41. Chapter 36: Collaborative Laboratory Studies: Part 3 – Testing for Systematic Error

42. Chapter 37: Collaborative Laboratory Studies: Part 4 – Ranking Test

43. Chapter 38: Collaborative Laboratory Studies: Part 5 – Efficient Comparison of Two Methods

44. Chapter 39: Collaborative Laboratory Studies: Part 6 – MathCad Worksheet Text

45. Chapter 40: Is Noise Brought by the Stork? Analysis of Noise: Part 1

46. Chapter 41: Analysis of Noise: Part 2

47. Chapter 42: Analysis of Noise: Part 3

48. Chapter 43: Analysis of Noise: Part 4

49. Chapter 44: Analysis of Noise: Part 5

50. Chapter 45: Analysis of Noise: Part 6

51. Chapter 46: Analysis of Noise: Part 7

52. Chapter 47: Analysis of Noise: Part 8

53. Chapter 48: Analysis of Noise: Part 9

54. Chapter 49: Analysis of Noise: Part 10

55. Chapter 50: Analysis of Noise: Part 11

56. Chapter 51: Analysis of Noise: Part 12

57. Chapter 52: Analysis of Noise: Part 13

58. Chapter 53: Analysis of Noise: Part 14

59. Chapter 54: Derivatives in Spectroscopy: Part 1 – The Behavior of the Derivative

60. Chapter 55: Derivatives in Spectroscopy: Part 2 – The “True” Derivative

61. Chapter 56: Derivatives in Spectroscopy: Part 3 – Computing the Derivative

62. Chapter 57: Derivatives in Spectroscopy: Part 4 – Calibrating with Derivatives

63. Chapter 58: Comparison of Goodness of Fit Statistics for Linear Regression: Part 1 – Introduction

64. Chapter 59: Comparison of Goodness of Fit Statistics for Linear Regression: Part 2 – The Correlation Coefficient

65. Chapter 60: Comparison of Goodness of Fit Statistics for Linear Regression: Part 3 – Computing Confidence Limits for the Correlation Coefficient

66. Chapter 61: Comparison of Goodness of Fit Statistics for Linear Regression: Part 4 – Confidence Limits for Slope and Intercept

67. Chapter 62: Correction and Discussion Regarding Derivatives

68. Chapter 63: Linearity in Calibration: Act III Scene I – Importance of Nonlinearity

69. Chapter 64: Linearity in Calibration: Act III Scene II – A Discussion of the Durbin-Watson Statistic, a Step in the Right Direction

70. Chapter 65: Linearity in Calibration: Act III Scene III – Other Tests for Nonlinearity

71. Chapter 66: Linearity in Calibration: Act III Scene IV – How to Test for Nonlinearity

72. Chapter 67: Linearity in Calibration: Act III Scene V – Quantifying Nonlinearity

73. Chapter 68: Linearity in Calibration: Act III Scene VI – Quantifying Nonlinearity, Part II, and a News Flash

74. Chapter 69: Connecting Chemometrics to Statistics: Part 1 – The Chemometrics Side

75. Chapter 70: Connecting Chemometrics to Statistics: Part 2 – The Statistics Side

76. Chapter 71: Limitations in Analytical Accuracy: Part 1 – Horwitz’s Trumpet

77. Chapter 72: Limitations in Analytical Accuracy: Part 2 – Theories to Describe the Limits in Analytical Accuracy

78. Chapter 73: Limitations in Analytical Accuracy: Part 3 – Comparing Test Results for Analytical Uncertainty

79. Chapter 74: The Statistics of Spectral Searches

80. Chapter 75: The Chemometrics of Imaging Spectroscopy

81. Glossary of Terms

82. Index