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EXCEL Solution of Fitting Function of Reservoir Static Capacity Curve
Renmin Zhujiang, 2010 YANG De-xiang
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This chapter presents an overview of curve fitting methods in Euclidean spaces, with a particular emphasis on R 2 and R 3 . In order to represent linear and nonlinear interactions between numerous variables, a number of methodologies, including linear and nonlinear least squares methods, are being investigated.
Erik Cuevas +4 more
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Erik Cuevas +4 more
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1987
The purpose of this programme is eventually to devise a reliable method for establishing the relationship between two variables, corresponding values of which have been obtained as a result of tests or experimentation. These results in practice are highly likely to include some errors, however small, due to the imperfect materials used, the limitations
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The purpose of this programme is eventually to devise a reliable method for establishing the relationship between two variables, corresponding values of which have been obtained as a result of tests or experimentation. These results in practice are highly likely to include some errors, however small, due to the imperfect materials used, the limitations
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Journal of the Staple Inn Actuarial Society, 1935
For the purposes of this paper the term “curve-fitting” is not synonymous with “graduation.” It is restricted to graduation by means of an explicit algebraic or trigonometrical formula: graphic and summation methods are excluded. Even so the subject is unlimited, and this paper cannot provide more than an explanation of a few general principles, and a ...
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For the purposes of this paper the term “curve-fitting” is not synonymous with “graduation.” It is restricted to graduation by means of an explicit algebraic or trigonometrical formula: graphic and summation methods are excluded. Even so the subject is unlimited, and this paper cannot provide more than an explanation of a few general principles, and a ...
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The Mathematics Teacher, 1960
Given the graph and data, find the equation that would have this graph.
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Given the graph and data, find the equation that would have this graph.
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Computing, 2007
Fitting parameterized curves to a given set of unorganized points -- a point cloud -- belongs to the challenging problems in the present computer aided geometric modelling area. The authors introduce an abstract framework for fitting a member of a given family of planar curves to a given point cloud which obtains unorganized point data.
Aigner, Martin, Jüttler, Bert
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Fitting parameterized curves to a given set of unorganized points -- a point cloud -- belongs to the challenging problems in the present computer aided geometric modelling area. The authors introduce an abstract framework for fitting a member of a given family of planar curves to a given point cloud which obtains unorganized point data.
Aigner, Martin, Jüttler, Bert
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IMA Journal of Applied Mathematics, 1979
A technique for fitting a linear expression to data with errors in all or any of the variables is described. The form of the errors is restricted to the product of a row (data set) and a column (variable) error value. This form covers many practical cases and allows the development of an efficient algorithm.
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A technique for fitting a linear expression to data with errors in all or any of the variables is described. The form of the errors is restricted to the product of a row (data set) and a column (variable) error value. This form covers many practical cases and allows the development of an efficient algorithm.
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Journal of the Operational Research Society, 1994
In this paper, a simple Gompertz curve-fitting procedure is proposed. Its advantages include the facts that the stability of the saturation level over the sample period can be checked, and that no knowledge of its value is necessary for forecasting. An application to forecasting the stock of cars in the Netherlands illustrates its merits.
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In this paper, a simple Gompertz curve-fitting procedure is proposed. Its advantages include the facts that the stability of the saturation level over the sample period can be checked, and that no knowledge of its value is necessary for forecasting. An application to forecasting the stock of cars in the Netherlands illustrates its merits.
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