Statistics in Spectroscopy book cover

Statistics in Spectroscopy

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.

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.

Hardbound, 342 Pages

Published: November 2003

Imprint: Academic Press

ISBN: 978-0-12-472531-7


  • Preface

    Chapter 1 Introduction: Why this Book?

    Chapter 2 Important Concepts from Probability Theory

    Chapter 3 Populations and Samples: The Meaning of "Statistics"

    Chapter 4 Degrees of Freedom

    Chapter 5 Introduction to Distributors and Probability Sampling

    Chapter 6 The Normal Distribution

    Chapter 7 Alternative Ways to Calculate Standard Deviation

    Chapter 8 The Central Limit Theorem

    Chapter 9 Synthesis of Variance

    Chapter 10 Where are we and Where are we Going?

    Chapter 11 More and Different Statistics

    Chapter 12 The T Statistic

    Chapter 13 Distribution of Means

    Chapter 14 One-and Two-Tailed Tests

    Chapter 15 Philosophical Interlude

    Chapter 16 Biased and Unbiased Estimators

    Chapter 17 The Variance of Variance

    Chapter 18 Hypothesis Testing of Chi-Square

    Chapter 19 More Hypothesis Testing

    Chapter 20 Statistical Inferences

    Chapter 21 How to Count

    Chapter 22 And Still Counting

    Chapter 23 Contingency Tables

    Chapter 24 What do you Mean: Random?

    Chapter 25 The F Statistics

    Chapter 26 Precision and Accuracy: Introduction to Analysis of Variance

    Chapter 27 Analysis of Variance and Statistical Design of Experiments

    Chapter 28 Crossed and Nested Experiments

    Chapter 29 Miscellaneous Considerations Regarding Analysis of Variance

    Chapter 30 Pitfalls of Statistic

    Chapter 31 Pitfalls of Statistic Continued

    Chapter 32 Calibration in Spectroscopy

    Chapter 33 Calibration: Linear Regression as a Statistical Technique

    Chapter 34 Calibration: Error Sources in Calibration

    Chapter 35 Calibration: Selecting the Calibration Samples

    Chapter 36 Calibration: Developing the Calibration Model

    Chapter 37 Calibration: Auxiliary Statistics for the Calibration Model

    Chapter 38 The Beginning



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