Isbn: 9786131612275 - curve fitting: function (mathematics), data, smoothing, statistical inference, interpolation, regression analysis, extrapolation, polynomial, osculating circle (4 resultados)

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  • Idioma: Inglés

    Editorial: Omniscriptum Mär 2026, 2026

    6131612277 / 9786131612275

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    Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.

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    Taschenbuch. Condición: 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.…

  • Idioma: Inglés

    Editorial: Omniscriptum

    6131612277 / 9786131612275

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    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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    EUR 40,28

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    Cantidad disponible: 1 disponible

    Taschenbuch. Condición: 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. …

  • Idioma: Inglés

    Editorial: OmniScriptum, 2026

    6131612277 / 9786131612275

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    Librería: preigu, Osnabrück, Alemaniapreigu

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    EUR 109,85

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    Cantidad disponible: 5 disponibles

    Taschenbuch. Condición: 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.…

  • Idioma: Inglés

    Editorial: Omniscriptum Mär 2026, 2026

    6131612277 / 9786131612275

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    Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000

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    Condición: Nuevo

    EUR 136,00

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    Cantidad disponible: 1 disponible

    Taschenbuch. Condición: 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. …