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Curve fitting with linear programming

ACM SIGMAP Bulletin, 1975
The classical problem of "fitting" a curve to a set of data is as follows: given a set of N data points (x j , y j ) j = l,..., N, find a value for "m" (slope) and "b" (Y-intercept) such that the curve y = mx+b "best" fits the data. If each of the N data points lies on the curve y = mx+b (i.e.
H. Swanson, R. E. D. Woolsey
openaire   +1 more source

Optimal Curve Fitting With Piecewise Linear Functions

IEEE Transactions on Computers, 1971
A method is described for determining an optimal straight-line segment approximation to specified functions for constrained and unconstrained endpoints.
openaire   +2 more sources

Fitting Linear Hierarchical Models

2011
We now shift to the analysis of hierarchical data using mixed-effects models. These models are a natural match for many problems that occur commonly in natural resources. A number of the tools that we discuss in this chapter are extensively documented in Pinheiro and Bates (2000), and our goal is to complement that resource, not replace it. Although we
Andrew P. Robinson, Jeff D. Hamann
openaire   +1 more source

Linear Regression and Curve Fitting

2010
The chapter starts from the description of Java classes designed for a linear-regression analysis and then describes a non-linear case, when a relationship between variables cannot be explained by a linear behavior. This chapter covers how to fit data using arbitrary mathematical functions in one and two dimensions using Java numerical libraries.
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Curve Fitting with Linear Regression

1992
With test data it is often necessary to determine a relationship between the two sets of numbers, for interpolation and extrapolation. It is possible to graph the data as linear, semi-log or log plots to determine the equation and constants. The XY line then is a visual estimate of the average point positions. A more accurate method is to determine the
openaire   +1 more source

Fitting linear functions:theory and practice

2022
James Sneyd   +2 more
openaire   +1 more source

M-Smoother with local Linear Fit

Journal of Nonparametric Statistics, 2002
Fred Godtliebsen, Håvard Rue
exaly  

Alternative Goodness-of-Fit Tests for Linear Models

Journal of the American Statistical Association, 2010
Ronald Christensen
exaly  

Goodness-of-fit Testing in High Dimensional Generalized Linear Models

Journal of the Royal Statistical Society Series B: Statistical Methodology, 2020
Jana Jankova   +2 more
exaly  

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