Search Results - subject:"Multiple regression"

A novel robust multivariate regression approach to optimize multiple surfaces

Moslemi, Amir; Seyyed-Esfahani, Mirmehdi - In: RAIRO / Operations research 52 (2018) 4/5, pp. 1233-1243

Persistent link: https://www.econbiz.de/10011987290

Earnings and capital management in European banks : combining a multivariate regression with a qualitative comparative analysis

Pinto, Inês; Picoto, Winnie Ng - In: Journal of business research : JBR 89 (2018), pp. 258-264

Persistent link: https://www.econbiz.de/10011881783

Multicollinearity : how common factors cause Type 1 errors in multivariate regression

Kalnins, Arturs - In: Strategic management journal 39 (2018) 8, pp. 2362-2385

Persistent link: https://www.econbiz.de/10011973507

On standard-error-decreasing complementarity : why collinearity is not the whole story

Hayo, Bernd - In: Journal of quantitative economics 16 (2018) 1, pp. 289-307

Persistent link: https://www.econbiz.de/10012418339

Computer assisted mass appraisal : an international review

McCluskey, William J. (ed.); Adair, Alastair S. (ed.) - 2018

Persistent link: https://www.econbiz.de/10012165266

The macroeconomic determinants of Nifty : a quantitative approach based on causal factoring

Subathra, R.; Mohideen, A. Kachi - In: International journal of economics and business research 10 (2015) 3, pp. 247-257

Persistent link: https://www.econbiz.de/10011499989

Do stock markets discipline US bank holding companies : just monitoring, or also influencing?

Baele, Lieven; De Bruyckere, Valerie; De Jonghe, Olivier; … - 2012

Persistent link: https://www.econbiz.de/10009713359

Forecasting SET50 index with multiple regression based on principal component analysis

Sopipan, N.; Kanjanavajee, W.; Pairote Sattayatham - In: Journal of applied finance & banking 2 (2012) 3, pp. 271-294

Thailand) by using multiple regression. At the same time, we examine/ consider/describe? the existence of a high correlation … principal component analysis (PCA). In this study, we employ principal component scores (PC) in a multiple regression analysis … explained by all PCs have a minimum of all loss function. -- forecasting ; SET50 index ; multiple regression analysis …

Persistent link: https://www.econbiz.de/10009565254

Restructuring strategies and post-bankruptcy performance

2012

Persistent link: https://www.econbiz.de/10009580954

Multivariate Regression Shrinkage and Selection by Canonical Correlation Analysis

An, Baiguo - 2012

The problem of regression shrinkage and selection for multivariate regression is considered. The goal is to consistently identify those variables relevant for regression. This is done not only for predictors but also for responses. To this end, a novel relationship between multivariate...

Persistent link: https://www.econbiz.de/10013096103