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Local Linear Forecasts Using Cubic Smoothing Splines [PDF]
We show how cubic smoothing splines fitted to univariate time series data can be used to obtain local linear forecasts. Our approach is based on a stochastic state space model which allows the use of a likelihood approach for estimating the smoothing ...
Baki Billah +3 more
core
Advanced Engineering Materials, EarlyView.Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
Jurnal Biometrika dan Kependudukan, 2018 Human Immunodeficiency Virus or HIV is still one of the most serious problems especially in developing countries. This study used HIV cases that recorded in Health Departement of Malang City, East Java, as one of the variables to determine the ...
Afrian Eskartya Harjono, Kuntoro Kuntoro
doaj +1 more source
Robust exponential smoothing of multivariate time series. [PDF]
Multivariate time series may contain outliers of different types. In presence of such outliers, applying standard multivariate time series techniques becomes unreliable. A robust version of multivariate exponential smoothing is proposed.
Croux, Christophe +2 more
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Advanced Engineering Materials, EarlyView.The tribological behavior of 100Cr6 steel spheres textured via Vickers microindentation is evaluated under lubricated sliding by varying both dimple size and density. Fine and dense textures significantly reduce friction across all lubrication regimes, while large dimples increase it.
Farideh Davoodi +3 more
wiley +1 more source
Optimal Minimax Rate of Smoothing Parameter in Distributed Nonparametric Specification Test
AxiomsA model specification test is a statistical procedure used to assess whether a given statistical model accurately represents the underlying data-generating process. The smoothing-based nonparametric specification test is widely used due to its efficiency
Peili Liu +3 more
doaj +1 more source
Automatic search intervals for the smoothing parameter in penalized splines. [PDF]
Stat Comput, 2023 Li Z, Cao J.
europepmc +1 more source
On Sparsity by NUV-EM, Gaussian Message Passing, and Kalman Smoothing
, 2016 Normal priors with unknown variance (NUV) have long been known to promote sparsity and to blend well with parameter learning by expectation maximization (EM). In this paper, we advocate this approach for linear state space models for applications such as
Bruderer, Lukas +4 more
core +1 more source
Advanced Engineering Materials, EarlyView.Powder metal processing provides scalable advantages in nanoporous (np) metal development. Mechanical alloying is used to produce unique precursors for hybrid nanopore formation by oxide reduction and dealloying. As demonstrated in np Ag, this approach improves process efficiency while promoting smaller ligaments and larger pores, both of which are ...
Mark A. Atwater, Oliver A. Fowler
wiley +1 more source