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Bücher Wissen & Bildung Englische Bücher Naturwissenschaft, Medizin, Informatik, Technik Mathematik Wahrscheinlichkeitstheorie & Statistik Data Analysis Using the Method of Least Squares
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Data Analysis Using the Method of Least Squares
John Wolberg (Taschenbuch, Englisch)
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Beschreibung
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. 53,49 €
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Technische Daten
Erscheinungsdatum
16.12.2005
Sprache
Englisch
EAN
9783540256748, 9783540256748
Herausgeber
Springer Berlin
Sonderedition
Nein
Autor
John Wolberg
Seitenanzahl
250
Einbandart
Taschenbuch
Buch Untertitel
Extracting the Most Information from Experiments
Schlagwörter
Curve Fitting, Experiment, Least Squares, Nonlinear Models, Parametric Models, Regression, calculus, data analysis, kernel, linear optimization, model
Thema-Inhalt
PBT - Wahrscheinlichkeitsrechnung und Statistik
K - Wirtschaftswissenschaft, Finanzen, Betriebswirtschaft und Management
UYQ - Künstliche Intelligenz
PDD - Wissenschaftliche Standards, Normung usw.
Höhe
229 mm
Breite
15.2 cm
Transparenz & Sicherheit
Hersteller: Springer, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com, Springer Nature Customer Service Center GmbH
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