Synopses & Reviews
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. This second edition differs from the first in that expanded chapters are incorporated to highlight the relationship between elementary statistics and the more advanced concepts of chemometrics.
The book introduces the novice reader to the ideas and concepts of statistics and uses spectroscopic examples to show how these concepts are applied. The advent of instrumentation and methods of data analysis based on multivariate mathematics has created a need to introduce the non-statitician to the ideas, concepts and thought processes of statistics and statisticians. Several key statistical concepts are introduced through the use of computer programs. The new sections on chemometrics include an exercise showing that there is a deep and fundamental connection between the two, supposedly different, disciplines of statistics and chemometrics.
Serves as a primer for all chemists who need to know more about statistical analysis
Written in a readable style with minimal mathematics
Developed from the popular series of the same name first published in Spectroscopy magazine
About the Author
Howard Mark is President of Mark Electronics, Suffern, New York. He was previously affiliated as a Senior Scientist at Technicon Instrument Corp. in Tarry town, New York. He holds a B.S. degree from City College of New York, an M.A. from City University of New York, and a PhD from New York University. His professional interests include instrument development, especially for spectroscopy; statistical and chemometric data analysis; and Custom software development, especially for implementation of data analysis algorithms. He received the 2003 Eastern Analytical Symposium Award for Achievement in Near Infrared Spectroscopy. He holds 6 U.S patents and has published 2 books and numerous book chapters. He has acted as Associate editor for the Handbook of Vibrational Spectroscopy, Wiley (2001). He has served as Past president of Council for Near-Infrared Spectroscopy (CNIRS), Treasurer of the New York section of the Society for Applied Spectroscopy, and as Past Chair of the New York section of the Society for Applied Spectroscopy. In addition he acts as Contributing editor and member of the Editorial Advisory Board of Spectroscopy. He has published over 150 peer-reviewed papers dealing with design and development of scientific instrumentation, new concepts in computerized instrumentation and data analysis.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.
Argose Incorporated, Waltham, MA, U.S.A
Table of Contents
ED 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 OF VARIANCE 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 CALlBRATION MODEL
THE BEGINNING