Statistics in Spectroscopy
This tutorial offers a basic hands-on approach to statistical analysis for chemists and spectroscopists. Without involving complicated mathematics, this book is designed to provide the reader with the basic principles underlying the use of common mathematical and statistical tools. Particular emphasis has been given to problem-solving applications and the proper use and interpretation of spectroscopic data. With exercises throughout, this book is also suitable for use as a textbook in analytical chemistry, instrumental analysis, and statistics in chemistry courses.
- Hardback | 336 pages
- 160 x 232 x 20mm | 557.93g
- 17 Apr 1991
- Elsevier Science Publishing Co Inc
- Academic Press Inc
- San Diego, United States
About Howard Mark
Jerry Workman, Jr. is Chief Technical Officer and Vice President of Research & Engineering at Argose Inc., Waltham, MA. In his career, Workman has focused on molecular and electronic spectroscopy and chemometrics. He has published over 200 scientific papers, 7 text volumes, and over 20 patents, patents pending, and trade secrets. He received the B. A. degree in natural sciences and M. A. degree in biological sciences and genetics from Saint Mary's University of Minnesota, and the Ph.D. degree in biological chemistry from Columbia Pacific University. He has completed technical management certificates from Columbia University and MIT. He is a Fellow of the American Institute of Chemists, the American Society for Testing and Materials International, and the Royal Society of Chemistry. In 2002 he was the recipient of the ASTM International Award of Merit; IBC International Scientist of the Year; and the Eastern Analytical Symposium Award for Outstanding Achievements in the Field of Near Infrared Spectroscopy.
Table of contents
Important concepts from probability theory; populations and samples - the meaning of "statistics"; degrees of freedom; introduction to distributions and probability sampling; the normal distribution; alternative ways to calculate standard deviation; the central limit theorem; synthesis of variance; where are we and where are we going?; more and different statistics; the T statistic; distribution of means; one- and two-tailed tests; philosophical interlude; biased and unbiased estimators; the variance of variance; hypothesis testing of Chi-square; more hypothesis testing; statistical inferences; how to count; and still counting; contingency tables; what do you mean, random?; the F statistic; precision and accuracy - introduction to analysis of variance analysis and statistical design of experiments; crossed and nested experiments; miscellaneous considerations regarding analysis of variance; pitfalls of statistics; pitfalls of statistics continued; calibration in spectroscopy; calibration - linear regression as a statistical technique; calibration - error sources in calibration; calibration - selecting the calibration samples; calibration - developing the calibration model; calibration - auxiliary statistics for the calibration model; the beginning.
"...The authors should be congratulated for providing spectroscopists who do not have a mathematical background with an introduction to important statistical issues." -Edward V. Thomas, SANDIA NATIONAL LABORATORIES, Albuquerque, New Mexico (ANALYTICAL CHEMISTRY) "This column continues to serve a vital educational role for those spectroscopists with an interest but little background in the statistical underpinnings of the new chemometric methods that now come on their instruments." -ANALYTICAL CHEMISTRY.