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Data Fitting in the Chemical Sciences (Hardcover) Loot Price: R9,764
Discovery Miles 97 640
Data Fitting in the Chemical Sciences (Hardcover): P. Gans

Data Fitting in the Chemical Sciences (Hardcover)

P. Gans

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Loot Price R9,764 Discovery Miles 97 640 | Repayment Terms: R915 pm x 12*

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Data Fitting in the Chemical Sciences Peter Gans, School of Chemistry, The University of Leeds, Leeds, UK Data fitting is a technique of central importance in modern experimental science. It is the means by which data is tested against a model of the experimental system, be it a theoretical or empirical model. In this book an all-round approach is adopted in which the first stage of data-fitting is seen as data collection, the second is numerical processing and the third a critical evaluation of the 'goodness' of fit in both statistical and common sense terms. Each stage is considered in detail: the sources and nature of experimental errors; the theory of least-squares fitting; probability theory; hypothesis testing, and the application of scientific criteria. The theory is complemented by three chapters on a wide range of applications. The emphasis of this book is on methodology: why certain procedures are preferred rather than how any one procedure is implemented. The author aims to assist people in extracting from their data its full information content, i.e. to use their data, not abuse it.

General

Imprint: John Wiley & Sons
Country of origin: United States
Release date: May 1992
First published: July 1992
Authors: P. Gans
Dimensions: 236 x 153 x 22mm (L x W x T)
Format: Hardcover
Pages: 270
ISBN-13: 978-0-471-93412-7
Categories: Books > Science & Mathematics > Chemistry > General
Books > Computing & IT > General theory of computing > Mathematical theory of computation
Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
Books > Science & Mathematics > Science: general issues > Scientific equipment & techniques, laboratory equipment > General
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LSN: 0-471-93412-7
Barcode: 9780471934127

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