Overview
Measurements through quantitative experiments are one of the most f- damental tasks in all areas of science and technology. Astronomers a- lyze data from asteroid sightings to predict orbits. Computer scientists - velop models for recognizing spam mail. Physicists measure properties of materials at low temperatures to understand superconductivity. Materials engineers study the reaction of materials to varying load levels to develop methods for prediction of failure. Chemical engineers consider reactions as functions of temperature and pressure. The list is endless. From the very small-scale work on DNA to the huge-scale study of black holes, quantitative experiments are performed and the data must be analyzed. Probably the most popular method of analysis of the data associated with quantitative experiments is least squares. It has been said that the method of least squares was to statistics what calculus was to mathematics. - though the method is hardly mentioned in most engineering and science undergraduate curricula, many graduate students end up using the method to analyze the data gathered as part of f their research. There is not a lot of available literature on the subject. Very few books deal with least squares at the level of detail that the subject deserves. Many books on statistics - clude a chapter on least squares but the treatment is usually limited to the simplest cases of linear least squares.
Full Product Details
Author: John Wolberg
Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition: 2006 ed.
Dimensions:
Width: 15.20cm
, Height: 1.60cm
, Length: 22.90cm
Weight: 0.454kg
ISBN: 9783540256748
ISBN 10: 3540256741
Pages: 250
Publication Date: 16 December 2005
Audience:
Professional and scholarly
,
Professional & Vocational
Format: Paperback
Publisher's Status: Active
Availability: In Print
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Reviews
Aus den Rezensionen: ! Die ! Methode der kleinsten Quadrate ! ist ! eines der am haufigsten angewendeten statistischen Verfahren zur Aus- und Bewertung der Daten. John Wolberg ! bedauert, dass dieser Methode noch langst nicht die ihr zustehende Aufmerksamkeit ! gewidmet wird ! Die publizistische Lucke ! mochte der Autor mit diesem Buch schliessen. ! Das Buch vermittelt das Wissen fur eine hochst effiziente Methode zur Datenanalyse. Der Autor erlautert die Thematik in dem ! Buch abstrakt konzentriert und untermauert sie durch einfache, uberwiegend hypothetische Beispiele, die zum ! Verstandnis der Methode beitragen ... (Dr. Norbert Hofert, in: Gefahrstoffe - Reinhaltung der Luft, 2007, Vol. 67, Issue 4, S. 136)
