Results 41 to 50 of about 39,022 (281)

Testing regression monotonicity in econometric models [PDF]

Econometric Theory, 2012
Monotonicity is a key qualitative prediction of a wide array of economic models derived via robust comparative statics. It is therefore important to design effective and practical econometric methods for testing this prediction in empirical analysis.
openaire   +6 more sources

On estimation for accelerated failure time models with small or rare event survival data

BMC Medical Research Methodology, 2022
Background Separation or monotone likelihood may exist in fitting process of the accelerated failure time (AFT) model using maximum likelihood approach when sample size is small and/or rate of censoring is high (rare event) or there is at least one ...
Tasneem Fatima Alam, M. Shafiqur Rahman, Wasimul Bari   +2 more
doaj   +1 more source

Regression games [PDF]

, 2011
The solution of a TU cooperative game can be a distribution of the value of the grand coalition, i.e. it can be a distribution of the payo (utility) all the players together achieve.
A. Chevan, H. Moulin, H. P. Young, J. Stufken, L. S. Shapley, M. C. K. Powaga, M. Grabisch, M. Grabisch, Miklós Pintér, R. Babat, S. Lipovetsky, S. Lipovetsky, S. Lipovetsky, S. Lipovetsky, S. Lipovetsky, U. Grömping, U. Grömping, W. Conklin   +17 more
core   +1 more source

Forward stagewise regression and the monotone lasso

, 2006
We consider the least angle regression and forward stagewise algorithms for solving penalized least squares regression problems. In Efron, Hastie, Johnstone & Tibshirani (2004) it is proved that the least angle regression algorithm, with a small ...
Hastie, Trevor, Taylor, Jonathan, Tibshirani, Robert, Walther, Guenther   +3 more
core   +7 more sources

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

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, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Improving Point and Interval Estimates of Monotone Functions by Rearrangement [PDF]

, 2008
Suppose that a target function is monotonic, namely, weakly increasing, and an available original estimate of this target function is not weakly increasing.
Chernozhukov, Victor, Fernandez-Val, Ivan, Galichon, Alfred   +2 more
core   +6 more sources

Multifunctional Crushing and Piezoresistive Self‐Sensing in Conductive Epoxy/CNT‐Coated Polyetherimide TPMS Lattices

Advanced Engineering Materials, EarlyView.
This study reports lightweight polyetherimide triply periodic minimal surfaces lattices coated with carbon nanotube‐reinforced epoxy that combine mechanical robustness with self‐sensing. The conformal coating enhances stiffness, strength and energy absorption while enabling reliable strain monitoring.
A. Triay, J. Schneider, P. Harrison, S. Kumar   +3 more
wiley   +1 more source

Multi-quantile systemic financial risk based on a monotone composite quantile regression neural network

Frontiers in Physics
This study proposes a novel perspective to calibrate the conditional value at risk (CoVaR) of countries based on the monotone composite quantile regression neural network (MCQRNN).
Chao Ren, Ziyan Zhu, Donghai Zhou
doaj   +1 more source

Penalized wavelet monotone regression

Statistics & Probability Letters, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Antoniadis, Anestis, Bigot, Jérémie, Gijbels, Irène   +2 more
openaire   +3 more sources

High‐Temperature Nanoindentation of Metals: Assessing Thermal Drift, Frame Compliance, and Chemical Composition Effects on the Reported Mechanical Properties

Advanced Engineering Materials, EarlyView.
Do not let thermal drift and instrument artifacts deceive high‐temperature nanoindentation results. We compare classical Oliver–Pharr and automatic image recognition analyses across steels and a Ni alloy to quantify these effects. Accounting for artifacts reveals systematic softening with temperature, while Cr and Ni additions boost resistance ...
Velislava Yonkova, Steffen Brinckmann, Ruth Schwaiger   +2 more
wiley   +1 more source