Results 101 to 110 of about 239,805 (285)
Matrix rank/inertia formulas for least-squares solutions with statistical applications
Least-Squares Solution (LSS) of a linear matrix equation and Ordinary Least-Squares Estimator (OLSE) of unknown parameters in a general linear model are two standard algebraical methods in computational mathematics and regression analysis.
Tian Yongge, Jiang Bo
doaj +1 more source
Concentration inequalities form an essential toolkit in the study of high dimensional (HD) statistical methods. Most of the relevant statistics literature in this regard is based on sub-Gaussian or sub-exponential tail assumptions.
Chakrabortty, Abhishek +1 more
core
ABSTRACT This paper examines how sustainable human resource management (SHRM) influences employee engagement and performance through distinct cognitive and relational mechanisms. While previous research has demonstrated positive associations between SHRM and employee outcomes, the processes through which these effects occur remain insufficiently ...
Daniel Roque Gomes +4 more
wiley +1 more source
Two Kantorovich-type inequalities and efficiency comparisons between the OLSE and BLUE
We first establish two matrix-determinant Kantorovich-type inequalities. Then we introduce two efficiency criteria and make efficiency comparisons between the ordinary least squares estimator and best linear unbiased estimator in linear models.
King Maxwell L, Liu Shuangzhe
doaj
New methods are developed for the stabilization of a linear system with general time-varying distributed delays existing at the system's states, inputs and outputs.
Feng, Qian +2 more
core
Productivity and Emissions in Italian Agriculture: A Farm‐Level Efficiency Analysis
ABSTRACT Achieving the European Union climate‐neutrality objectives requires metrics that jointly assess farm productivity and greenhouse gas emissions at a granular level. However, harmonized evidence for benchmarking the productivity–emissions nexus of Italian farms remains limited.
Giulio Fusco +3 more
wiley +1 more source
Computing Weighted Analytic Center for Linear Matrix Inequalities Using Infeasible Newton’s Method
We study the problem of computing weighted analytic center for system of linear matrix inequality constraints. The problem can be solved using Standard Newton’s method.
Shafiu Jibrin
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Board Gender Diversity and Environmental Credit Risk in Banking: A Global Study of Bank Governance
ABSTRACT This study investigates the relationship between board gender diversity and environmental credit risk in the global banking sector. Using a panel dataset of 345 publicly listed banks from 75 countries over the period 2018–2022, we find that greater female representation on bank boards is significantly associated with lower environmental credit
Kenza Mouti +2 more
wiley +1 more source
An Offline Formulation of MPC for LPV Systems Using Linear Matrix Inequalities
An offline model predictive control (MPC) algorithm for linear parameter varying (LPV) systems is presented. The main contribution is to develop an offline MPC algorithm for LPV systems that can deal with both time-varying scheduling parameter and ...
P. Bumroongsri
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ESG Decoupling Phenomenon: A Systematic and Bibliometric Analysis
ABSTRACT ESG decoupling, defined as the gap between a firm's ESG disclosures and its actual practices, poses a critical challenge to corporate sustainability. Using the PRISMA protocol, 451 articles were selected for a comprehensive bibliometric and systematic literature review to map the intellectual structure and thematic evolution of the research on
Maryam Laeeq +2 more
wiley +1 more source

