Abstract
This paper will be presented regression models to estimate the assumed income that is of utmost importance to the credit market since the client does not prove your income. The proposed models are lognormal and gamma which is a generalized linear model, both will be compared who perform better will be chosen, where the result of the chosen model will undergo an addition of a noise to get a better estimated. Every analysis and simulation were implemented in [7].
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Silva Júnior, V.E., Souza, R.M.C.R., Amaral, G.J.A., Souza Júnior, H.G. (2013). Estimation Methods of Presumed Income. In: Lee, M., Hirose, A., Hou, ZG., Kil, R.M. (eds) Neural Information Processing. ICONIP 2013. Lecture Notes in Computer Science, vol 8227. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-42042-9_30
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DOI: https://doi.org/10.1007/978-3-642-42042-9_30
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-42041-2
Online ISBN: 978-3-642-42042-9
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