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Chemometrics in spectroscopy

Author: Howard Mark; Jerry Workman
Publisher: Amsterdam ; Oxford : Academic, 2007.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
Chemometrics in Spectroscopy builds upon the statistical information covered in other books written by these leading authors in the field by providing a broader range of mathematics and progressing into the fundamentals of multivariate and experimental data analysis. Subjects covered in this work include: matrix algebra, analytic geometry, experimental design, calibration regression, linearity, design of  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Mark, Howard.
Chemometrics in spectroscopy.
Amsterdam ; Oxford : Academic, 2007
(OCoLC)85897694
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Howard Mark; Jerry Workman
ISBN: 9780123740243 012374024X
OCLC Number: 162131562
Notes: Includes index.
Description: 1 online resource
Contents: 1. A New Beginning --
--
2. Elementary Matrix Algebra, Part 1 --
--
3. Elementary Matrix Algebra, Part 2 --
--
4. Matrix Algebra and Multiple Linear Regression, Part 1 --
--
5. Matrix Algebra and Multiple Linear Regression, Part 2 --
--
6. Matrix Algebra and Multiple Linear Regression, Part 3 --
--
7. Matrix Algebra and Multiple Linear Regression: Conclusion --
--
8. Experimental Designs --
Part 1 --
--
9. Experimental Designs --
Part 2 --
--
10. Experimental Designs --
Part 3 --
--
11. Analytic Geometry, Part I --
--
12. Analytic Geometry, Part II --
--
13. Analytic Geometry, Part III --
--
14. Analytic Geometry, Part IV --
--
15. Experimental Designs Part IV --
Varying Parameters to Expand the Design --
--
16. Experimental Designs Part V --
One-at-a-time Designs --
--
17. Experimental Designs Part VI --
Sequential Designs --
--
18. Experimental Designs Part VII, The Power of a Test --
--
19. Experimental Designs Part VIII, The Power of a Test (Continued) --
--
20. Experimental Designs Part IX --
Sequential Designs Concluded --
--
21. Calculating the Solution for Regression Techniques --
Part I: Multivariate Regression Made Simple --
--
22. Calculating the Solution for Regression Techniques --
Part II: Principal Component(s) Regression Made Simple --
--
23. Calculating the Solution for Regression Techniques --
Part III: Partial Least Squares Regression Made Simple --
--
24. Looking Ahead and Behind --
--
25. A Simple Question --
--
26. Calculating the Solution for Regression Techniques --
Part IV: Singular Value Decomposition --
--
27. Linearity in Calibration --
--
28. Challenges: Unsolved Problems in Chemometrics --
--
29. Linearity in Calibration --
Act II Scene I --
--
30. Linearity in Calibration --
Act II Scene II --
--
31. Linearity in Calibration --
Act II Scene III --
--
32. Linearity in Calibration --
Act II Scene IV --
--
33. Linearity in Calibration --
Act II Scene V --
--
34. A Blueprint for Collaborative Laboratory Studies --
--
35. Using ANOVA for Collaborative Laboratory Studies, Part Two --
--
36. Testing for Systematic Error in Collaborative Laboratory Studies, Part Three --
--
37. Ranking Test for Collaborative Studies, Part Four --
--
38. Efficient Comparison of Two Methods for Collaborative Laboratory Studies --
--
39. More About Collaborative Laboratory Studies, a Brief Recap and Additional Resources, Part Five --
--
40. Is Noise Brought by the Stork?: Analysis of Noise, Part 1 --
--
41. Analysis of Noise, Part 2 --
--
42. Analysis of Noise, Part 3 --
--
43. Analysis of Noise, Part 4 --
--
44. Analysis of Noise, Part 5 --
--
45. Analysis of Noise, Part 6 --
--
46. Analysis of Noise, Part 7 --
--
47. Analysis of Noise, Part 8 --
--
48. Analysis of Noise, Part 9 --
--
49. Analysis of Noise, Part 10 --
--
50. Analysis of Noise, Part 11 --
--
51. Analysis of Noise, Part 12 --
--
52. Analysis of Noise, Part 13 --
--
53. Analysis of Noise, Part 14 --
--
54. Derivatives in Spectroscopy, Part 1: The Behaviour of Derivatives --
--
55. Derivatives in Spectroscopy, Part 2: The True Derivative --
--
56. Derivatives in Spectroscopy, Part 3: Computing the Derivative --
--
57. Derivatives in Spectroscopy, Part 4: Calibrating with Derivatives --
--
58. Comparison of Goodness of Fit Statistics, Part I --
--
59. Comparison of Goodness of Fit Statistics, Part II --
--
60. Comparison of Goodness of Fit Statistics, Part III --
--
61. Comparison of Goodness of Fit Statistics, Part IV --
--
62. Derivatives in Spectroscopy --
Update --
--
63. Linearity in Calibration, Act III, Scene I: The Importance of Non-Linearity --
--
64. Linearity in Calibration, Act III, Scene II: The Durbin-Watson Statistic --
--
65. Linearity in Calibration, Act III, Scene III: Other Tests for Non-Linearity --
--
66. Linearity in Calibration, Act III Scene IV: How To Test For non-Linearity --
--
67. Linearity in Calibration, Act III Scene V: Quantifying Non-linearity --
--
68. Linearity in Calibration, Act III Scene VI: Quantifying Non-linearity, Part II, and a News Flash --
--
69. Connecting Chemometrics to Statistics --
Part 1, the Chemometrics Side --
--
70. Connecting Chemometrics to Statistics --
Part 2, the Statistics Side --
--
71. Limitations in Analytical Accuracy Part 1 --
--
72. Limitations in Analytical Accuracy Part 2 --
--
73. Limitations in Analytical Accuracy Part 3 --
--
74. The Statistics of Spectral Searches --
--
75. The Chemometrics of Imaging Spectroscopy.
Responsibility: Howard Mark, Jerry Workman.

Abstract:

Demonstrates the basic principles underlying the use of common experimental, chemometric, and statistical tools. This work emphasises problem-solving applications and the proper use and  Read more...

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