Name: Chemometrics in Analytical Spectroscopy (Rsc Analytical Spectroscopy Series) (en Inglés)
Price: 185210.00 CLP
Availability: InStock
Author: Adams, Mike J. ; Barnett, Neil W.
ISBN: 9780854045952

portada Chemometrics in Analytical Spectroscopy (Rsc Analytical Spectroscopy Series) (en Inglés)

Formato

Libro Físico

Autor

Mike J. Adams

Ilustrado por

Neil W. Barnett

Editorial

Royal Society of Chemistry

Año

2004

Idioma

Inglés

N° páginas

240

Encuadernación

Tapa Dura

Dimensiones

23.7 x 16.8 x 1.9 cm

Peso

0.51 kg.

ISBN

0854045953

ISBN13

9780854045952

N° edición

0002

Categorías

Análisis espectral | espectroquímica

Chemometrics in Analytical Spectroscopy (Rsc Analytical Spectroscopy Series) (en Inglés)

Mike J. Adams (Autor) · Neil W. Barnett (Ilustrado por) · Royal Society of Chemistry · Tapa Dura

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Reseña del libro "Chemometrics in Analytical Spectroscopy (Rsc Analytical Spectroscopy Series) (en Inglés)"

Chemometrics in Analytical Spectroscopy provides students and practising analysts with a tutorial guide to the use and application of the more commonly encountered techniques used in processing and interpreting analytical spectroscopic data. In detail the book covers the basic elements of univariate and multivariate data analysis, the acquisition of digital data and signal enhancement by filtering and smoothing, feature selection and extraction, pattern recognition, exploratory data analysis by clustering, and common algorithms in use for multivariate calibration techniques. An appendix is included which serves as an introduction or refresher in matrix algebra. The extensive use of worked examples throughout gives Chemometrics in Analytical Spectroscopy special relevance in teaching and introducing chemometrics to undergraduates and post-graduates undertaking analytical science courses. It assumes only a very moderate level of mathematics, making the material far more accessible than other publications on chemometrics. The book is also ideal for analysts with little specialist background in statistics or mathematical methods, who wish to appreciate the wealth of material published in chemometrics.