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Curve Fitting
Print on DemandSeller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -High Quality Content by WIKIPEDIA articles! Curve fitting is the process of constructing a curve, or mathematical function, that has the best fit to a series of data points, possibly subject to constraints. Curve fitting can involve either interpolation, where an exact fit to the data is required, or smoothing, in which a 'smooth' function is constructed that approximately fits the data. A related topic is regression analysis, which focuses more on questions of statistical inference such as how much uncertainty is present in a curve that is fit to data observed with random errors. Fitted curves can be used as an aid for data visualization, to infer values of a function where no data are available, and to summarize the relationships among two or more variables. Extrapolation refers to the use of a fitted curve beyond the range of the observed data, and is subject to a greater degree of uncertainty since it may reflect the method used to construct the curve as much as it reflects the observed data. 100 pp. Englisch. Seller Inventory # 9786131612275
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Curve Fitting : Function (mathematics), Data, Smoothing, Statistical inference, Interpolation, Regression analysis, Extrapolation, Polynomial, Osculating circle
Print on DemandSeller: AHA-BUCH GmbH, Einbeck, Germany
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - High Quality Content by WIKIPEDIA articles! Curve fitting is the process of constructing a curve, or mathematical function, that has the best fit to a series of data points, possibly subject to constraints. Curve fitting can involve either interpolation, where an exact fit to the data is required, or smoothing, in which a 'smooth' function is constructed that approximately fits the data. A related topic is regression analysis, which focuses more on questions of statistical inference such as how much uncertainty is present in a curve that is fit to data observed with random errors. Fitted curves can be used as an aid for data visualization, to infer values of a function where no data are available, and to summarize the relationships among two or more variables. Extrapolation refers to the use of a fitted curve beyond the range of the observed data, and is subject to a greater degree of uncertainty since it may reflect the method used to construct the curve as much as it reflects the observed data. Seller Inventory # 9786131612275
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Curve Fitting | Function (mathematics), Data, Smoothing, Statistical inference, Interpolation, Regression analysis, Extrapolation, Polynomial, Osculating circle
Print on DemandSeller: preigu, Osnabrück, Germany
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Taschenbuch. Condition: Neu. Curve Fitting | Function (mathematics), Data, Smoothing, Statistical inference, Interpolation, Regression analysis, Extrapolation, Polynomial, Osculating circle | Frederic P. Miller (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786131612275 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 113311786
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Curve Fitting
Print on DemandSeller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Please note that the content of this book primarily consists of articlesavailable from Wikipedia or other free sources online. Curve fitting isthe process of constructing a curve, or mathematical function, that hasthe best fit to a series of data points, possibly subject toconstraints. Curve fitting can involve either interpolation, where anexact fit to the data is required, or smoothing, in which a 'smooth'function is constructed that approximately fits the data. A relatedtopic is regression analysis, which focuses more on questions ofstatistical inference such as how much uncertainty is present in a curvethat is fit to data observed with random errors. Fitted curves can beused as an aid for data visualization, to infer values of a functionwhere no data are available, and to summarize the relationships amongtwo or more variables. Extrapolation refers to the use of a fitted curvebeyond the range of the observed data, and is subject to a greaterdegree of uncertainty since it may reflect the method used to constructthe curve as much as it reflects the observed data.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 100 pp. Englisch. Seller Inventory # 9786131612275
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