A Dimensionality-Robust Test in Multiple Predictive Regression

2019 ◽  
Author(s):  
Ke-Li Xu ◽  
Junjie Guo
Keyword(s):  
Robust Test ◽  
Predictive Regression

A robust test of Merton's structural model for credit risk

2003 ◽  
Vol 6 (1) ◽  
pp. 39-58 ◽  
Author(s):  
Robert Jarrow ◽  
Donald van Deventer ◽  
Xiaoming Wang
Keyword(s):  
Credit Risk ◽  
Structural Model ◽  
Robust Test

Predictive Regression with p-Lags and Order-q Autoregressive Predictors

2020 ◽  
Author(s):  
Harshanie L. Jayetileke ◽  
You-Gan Wang ◽  
Min Zhu
Keyword(s):  
Predictive Regression

scholarly journals Semiparametric Single-Index Predictive Regression

2018 ◽  
Author(s):  
Weilun Zhou ◽  
Jiti Gao ◽  
Hsein Kew ◽  
David Harris
Keyword(s):  
Single Index ◽  
Predictive Regression

Influence of alloying systems on the properties of single crystal nickel-based superalloys

2021 ◽  
Vol 112 (10) ◽  
pp. 794-799
Author(s):  
Alexander Glotka ◽  
Vadim Ol’shanetskii
Keyword(s):  
Single Crystal ◽  
Regression Models ◽  
Strength Properties ◽  
Term Limits ◽  
Alloying Elements ◽  
Structure Stability ◽  
Plastic Properties ◽  
Crystal Lattices ◽  
Predictive Regression ◽  
First Time

Abstract The purpose of the investigation was to obtain the predictive regression models that help correct the calculation of the mechanical properties of single crystal nickel-based superalloys without conducting prior experiments. The paper considers the influence of alloying elements on their tendency to form phases in foundry nickel-based superalloys. Using the elements influence on the phase formation, the coefficient Kc’ of the ratio of alloying elements for this class of alloys was set for the first time. We have revealed the short correlation of the ratio Kc’ with the dimensional misfit of γ and γ’ crystal lattices. Also, a high probability to predict the misfit for multicomponent nickel systems is shown, which significantly affected the strength properties. The regression models of correlation dependencies on the dimensional γ/γ’- misfit were offered to predict the short-term and long-term limits of the strength of alloys. We determined the operating temperature at which the misfit value should decrease to zero. The structure stability should increase because of the structural stresses minimizing. This has a positive effect on strength and plastic properties.

Development of Tooling Cost Model for High Speed Hard Turning

2011 ◽  
Vol 418-420 ◽  
pp. 1482-1485 ◽  
Author(s):  
Erry Yulian Triblas Adesta ◽  
Muataz Al Hazza ◽  
Delvis Agusman ◽  
Agus Geter Edy Sutjipto
Keyword(s):  
Feed Rate ◽  
High Speed ◽  
Hard Turning ◽  
Cost Model ◽  
Cutting Tools ◽  
Cutting Speed ◽  
Rake Angle ◽  
Depth Of Cut ◽  
Predictive Regression ◽  
Aisi 4340

The current work presents the development of cost model for tooling during high speed hard turning of AISI 4340 hardened steel using regression analysis. A set of experimental data using ceramic cutting tools, composed approximately of Al2O3 (70%) and TiC (30%) on AISI 4340 heat treated to a hardness of 60 HRC was obtained in the following design boundary: cutting speeds (175-325 m/min), feed rate (0.075-0.125 m/rev), negative rake angle (0 to -12) and depth of cut of (0.1-0.15) mm. The output data is used to develop a new model in predicting the tooling cost using in terms of cutting speed, feed rate, depth of cut and rake angle. Box Behnken Design was used in developing the model. Predictive regression model was found to be capable of good predictions the tooling cost within the boundary design.

scholarly journals Predictive Regression Equations of Flowmetric and Spirometric Peak Expiratory Flow in Healthy Moroccan Adults

2017 ◽  
Vol 2017 ◽  
pp. 1-7
Author(s):  
Khalid Bouti ◽  
Iliass Maouni ◽  
Jouda Benamor ◽  
Jamal Eddine Bourkadi
Keyword(s):  
Peak Flow ◽  
Adult Population ◽  
Cross Sectional Study ◽  
Regression Equations ◽  
Anthropometric Parameters ◽  
Cross Sectional ◽  
Flow Measurements ◽  
Predictive Regression ◽  
Final Sample ◽  
Main Determinants

Introduction. PEF has never been characterized among healthy Moroccan adults. The objective of this study is to describe the values of PEF among healthy Moroccan adults, to study its relationship with anthropometric parameters (gender, age, height, and weight), to compare spirometric and flowmetric PEF, to establish the prediction equations for PEF, and to study the correlation between PEF and FEV1. Methods. Cross-sectional study conducted between May and June 2016. It involved healthy nonsmoking volunteers living in Tetouan, Morocco, gathered through a mobile stand realization of spirometry and peak flow measurements. Results. Our final sample concerned 313 adults (143 men and 170 women). For both men and women, age and height were the main determinants of PEF, and a positive correlation was found between PEF and FEV1. Conclusion. Our study has established the PEF predictive equations in the Moroccan adult population. Our results allow us to conclude that the PEF can be a reliable alternative of FEV1 in centers not equipped with spirometry.

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