Abstract
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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Notes
- 1.
Note that for a small number of events, the binning can result in a loss of information and larger statistical errors for the parameter estimates [1]. On the other hand, a benefit of the binning is that it allows for a goodness-of-fit test.
References
Eidelman, S., et al.: Review of particle physics. Phys. Lett. B 592, 1 (2004)
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Chekanov, S.V. (2010). Linear Regression and Curve Fitting. In: Scientific Data Analysis using Jython Scripting and Java. Advanced Information and Knowledge Processing. Springer, London. https://doi.org/10.1007/978-1-84996-287-2_15
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DOI: https://doi.org/10.1007/978-1-84996-287-2_15
Publisher Name: Springer, London
Print ISBN: 978-1-84996-286-5
Online ISBN: 978-1-84996-287-2
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