Main Article Content
Over the last two decades P-Splines have become a popular modeling tool in a wide class of statistical contexts. Fundamentally, semiparametric regression methods combine the leads of parametric and nonparametric approaches to regression analysis, while in precise, penalized spline regression uses the knowledge of nonparametric spline smoothing as a generalization of smoothing splines that let more suppleness in a choice of model with respect to the basis functions and the penalty. The present article compares two significant approaches of penalized spline regression models named as p-splines based on different basis functions with numerous knot selections and various types of penalties. These model fits have been applied on Wood Strength data to compare by calculating nonlinear least square method; also approaches are compared on several aspects: numerical immovability, quality of fit, derivative estimation and smoothing. This comparison will help us to fit best suitable model for conforming best suitable conditions and scenarios.
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).