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Statistics in Spectroscopy de Howard Mark

Statistics in Spectroscopy

Autor Howard Mark, Jerry Workman Jr.
en Limba Engleză Hardback – 4 noi 2003
Statistics in Spectroscopy, Second Edition, is an expanded and updated version of the original title. The aim of the book is to bridge the gap between the average chemist/spectroscopist and the study of statistics. The book introduces the novice reader to the ideas and concepts of statistics and uses spectroscopic examples to show how these concepts are applied. Several key statistical concepts are introduced through the use of computer programs.

Serves as a primer for all chemists who
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Specificații

ISBN-13: 9780124725317
ISBN-10: 0124725317
Pagini: 342
Dimensiuni: 152 x 229 x 19 mm
Greutate: 0.66 kg
Ediția:Revised.
Editura: ELSEVIER SCIENCE

Public țintă

All spectroscopists and those involved in statistics and analysis of data, both chemical and biological, especially those in chemistry, statistics, computer science and biology departments. Also relevant to the manufacturing, pharmaceutical, agricultural and textile industries, and all large corporations with analytical chemistry and chemical engineering departments.

Cuprins

1. Introduction: Why this Book?2. Important Concepts from Probability Theory3. Populations and Samples: The Meaning of "Statistics"4. Degrees of Freedom5. Introduction to Distributors and Probability Sampling6. The Normal Distribution7. Alternative Ways to Calculate Standard Deviation8. The Central Limit Theorem 9. Synthesis of Variance10. Where are we and Where are we Going? 11. More and Different Statistics12. The T Statistic 13. Distribution of Means14. One-and Two-Tailed Tests15. Philosophical Interlude16. Biased and Unbiased Estimators17. The Variance of Variance18. Hypothesis Testing of Chi-Square19. More Hypothesis Testing20. Statistical Inferences21. How to Count22. And Still Counting23. Contingency Tables24. What do you Mean: Random?25. The F Statistics 26. Precision and Accuracy: Introduction to Analysis of Variance27. Analysis of Variance and Statistical Design of Experiments28. Crossed and Nested Experiments29. Miscellaneous Considerations Regarding Analysis of Variance30. Pitfalls of Statistic31. Pitfalls of Statistic Continued32. Calibration in Spectroscopy33. Calibration: Linear Regression as a Statistical Technique34. Calibration: Error Sources in Calibration 35. Calibration: Selecting the Calibration Samples36. Calibration: Developing the Calibration Model37. Calibration: Auxiliary Statistics for the Calibration Model38. The Beginning