Statistics in spectroscopy

Howard Mark, Jerry Jr. Workman

328 pages, parution le 06/05/2004 (2^eme édition)

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Résumé

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.

Sommaire

Why this book?
Important concepts from probability theory
Populations and samples: the meaning of "statistics"
Dgrees 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 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

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Elsevier
Auteur(s)	Howard Mark, Jerry Jr. Workman
Parution	06/05/2004
Édition	2^eme édition
Nb. de pages	328
Format	15,5 x 23,5
Couverture	Relié
Poids	667g
Intérieur	Noir et Blanc
EAN13	9780124725317
ISBN13	978-0-12-472531-7