This technique makes it possible to model beams of any shape more efficiently than with existing methods. In fact, cubic splines are shown to be more generally applicable than the assumed-mode approach. Moreover, they are computationally less costly than finite-element methods, and hence. are ...
However, parametric utility models cannot describe data deviating from their assumed functional form. We propose a novel method using cubic Bezier splines (CBS) to flexibly model smooth and monotonic utility functions that can be fit to any dataset. CBS shows higher descriptive and predictive ...
There are various types of flexible regression models, each with its own strengths and characteristics: a) Polynomial regression: This approach allows for the inclusion of higher-order polynomial terms to capture nonlinear relationships. By adding squared, cubic, or higher-order terms of the independ...
models (FPMs) [Royston and Parmar, 2002] • Models and more accurately captures complex shapes of the (log-cumulative) baseline hazard function • A generalisation of the Weibull distribution is used with restricted cubic splines (RCS) that allows for more exibility Cause-specific log-...
the authors proceed by demonstrating that Cox models may instead be expressed as Poisson models by splitting the time scale at the observed failures. The Poisson-model expression allows for extension by changing how the time scale is split and by introducing restricted cubic splines and fractional ...
flexphreg(): parametric proportional hazards regression with elastic net regularization; flexphcr(): parametric proportional hazards regression for competing risk data. We have five kinds of parametric baseline hazard functions: exponential, Weibull, natural cubic splines, log-logistic and integra...
Flexible parametric survival models using cubic splines become popular in survival data analysis. The property of allowing converging hazard functions leads them to be the alternatives to Cox proportional hazards model and parametric sur... NA Tutkun,M Yeldan,H İlhan - 《International Journal of ...
A flexible parametric procedure is given to model the hazard function as a linear combination of cubic B-splines and to obtain maximum likelihood estimates... Rosenberg,S Philip - 《Biometrics》 被引量: 241发表: 1995年 The Proportional Hazard Model for Purchase Timing duration modelexpo-power spe...
To derive the finite-dimensional model, the structural member is discretized using the two different spatial discretization methods, namely, the normal mode approach andthe finite element method based on cubic splines. The robustness of the resulting control systems is examined in terms of the ...
(MFEP) between these two endpoints33. The spline-based string method improves upon the original string method by interpolating the MFEP using cubic-splines. In this method, the intermediate points of the path are moved according to the recorded mean forces acting on them, but only in the ...