Academic Journal

Model Testing Based on Regression Spline

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Model Testing Based on Regression Spline
Συγγραφείς: Li, Na
Πηγή: MODID-6d55e02e354:IntechOpen
Στοιχεία εκδότη: IntechOpen
Έτος έκδοσης: 2018
Θεματικοί όροι: Computers / Programming / Algorithms, bisacsh:COM051300
Περιγραφή: Tests based on regression spline are developed in this chapter for testing nonparametric functions in nonparametric, partial linear and varying-coefficient models, respectively. These models are more flexible than linear regression model. However, one important problem is if it is really necessary to use such complex models which contain nonparametric functions. For this purpose, p-values for testing the linearity and constancy of the nonparametric functions are established based on regression spline and fiducial method. In the application of spline-based method, the determination of knots is difficult but plays an important role in inferring regression curve. In order to infer the nonparametric regression at different smoothing levels (scales) and locations, multi-scale smoothing methods based on regression spline are developed to test the structures of the regression curve and compare multiple regression curves. It could sidestep the determination of knots; meanwhile, it could give a more reliable result in using the spline-based method.
Τύπος εγγράφου: article in journal/newspaper
Περιγραφή αρχείου: application/pdf
Γλώσσα: English
ISBN: 978-1-78923-250-9
1-78923-250-3
DOI: 10.5772/intechopen.74858
Διαθεσιμότητα: https://openresearchlibrary.org/viewer/a7235dc2-d16e-4854-9826-ddafe3524afd
https://openresearchlibrary.org/ext/api/media/a7235dc2-d16e-4854-9826-ddafe3524afd/assets/external_content.pdf
https://doi.org/10.5772/intechopen.74858
Rights: https://creativecommons.org/licenses/by/4.0/legalcode
Αριθμός Καταχώρησης: edsbas.127B23C8
Βάση Δεδομένων: BASE
Περιγραφή
ISBN:9781789232509
1789232503
DOI:10.5772/intechopen.74858