Keyword: least squares

Found 20 papers in total
An algorithm for decomposing a non-negative polynomial as a sum of squares of rational functions
An algorithm for decomposing a non-negative polynomial as a sum of squares of rational functions
2015,
This paper presents an algorithm for computing a decomposition of a...
Antecedents to supplier integration in China: A partial least squares analysis
Antecedents to supplier integration in China: A partial least squares analysis
2013,
The aim of this paper is to identify antecedents to supplier integration in China. A...
Robust least square semidefinite programming with applications
Robust least square semidefinite programming with applications
2014,
In this paper, we consider a least square semidefinite programming problem under...
Finite mixture partial least squares for segmentation and behavioral characterization of auction bidders
Finite mixture partial least squares for segmentation and behavioral characterization of auction bidders
2014,
We demonstrate how to segment, without a priori knowledge, online bidders using real...
On the incomplete oblique projections method for solving box constrained least squares problems
On the incomplete oblique projections method for solving box constrained least squares problems
2014,
The aim of this paper is to extend the applicability of the incomplete oblique...
Using partial least squares in operations management research: A practical guideline and summary of past research
Using partial least squares in operations management research: A practical guideline and summary of past research
2012,
The partial least squares (PLS) approach to structural equation modeling (SEM) has...
Implementing labor flexibility: A missing link between acquired labor flexibility and plant performance
Implementing labor flexibility: A missing link between acquired labor flexibility and plant performance
2013,
The existing studies conceptualize a direct relationship between acquired labor...
A projected semismooth Newton method for problems of calibrating least squares covariance matrix
A projected semismooth Newton method for problems of calibrating least squares covariance matrix
2011,
In this paper we propose a projected semismooth Newton method to solve the problem of...
A fixed point approach to origin–destination matrices estimation using uncertain data and fuzzy programming on congested networks
A fixed point approach to origin–destination matrices estimation using uncertain data and fuzzy programming on congested networks
2013,
This paper proposes a Fuzzy‐GLS estimation method that allows to improve the...
OLIVE: A simple method for estimating betas when factors are measured with error
OLIVE: A simple method for estimating betas when factors are measured with error
2011,
We propose a simple and intuitive method for estimating betas when factors are...
Analysing quadratic effects of formative constructs by means of variance‐based structural equation modelling
Analysing quadratic effects of formative constructs by means of variance‐based structural equation modelling
2012,
Together with the development of information systems research, there has also been...
An incremental least squares algorithm for large scale linear classification
An incremental least squares algorithm for large scale linear classification
2013,
In this work we consider the problem of training a linear classifier by assuming that...
Trading team composition for the intraday multistock market
Trading team composition for the intraday multistock market
2013,
Automated traders operate market shares without human intervention. We propose a...
Combining expert forecasts: Can anything beat the simple average?
Combining expert forecasts: Can anything beat the simple average?
2013,
This paper explores the gains from combining expert forecasts from the ECB Survey of...
A nonlinear weighted least‐squares finite element method for Stokes equations
A nonlinear weighted least‐squares finite element method for Stokes equations
2010,
The paper concerns a nonlinear weighted least‐squares finite element method for...
Detection Procedure for a Single Additive Outlier and Innovational Outlier in a Bilinear Model
Detection Procedure for a Single Additive Outlier and Innovational Outlier in a Bilinear Model
2007,
A single outlier detection procedure for data generated from BL(1,1,1,1) models is...
Kernel logistic regression using truncated Newton method
Kernel logistic regression using truncated Newton method
2011,
Kernel logistic regression (KLR) is a powerful nonlinear classifier. The combination...
Regularization tools and robust optimization for ill‐conditioned least squares problem: A computational comparison
Regularization tools and robust optimization for ill‐conditioned least squares problem: A computational comparison
2011,
Least squares problems arise frequently in many disciplines such as image...
A least‐squares minimum‐cost network flow algorithm
A least‐squares minimum‐cost network flow algorithm
2011,
Node‐arc incidence matrices in network flow problems exhibit several special...
Coal‐rock dynamic disaster assessment model based on electromagnetic emission and least‐squares support vector machine
Coal‐rock dynamic disaster assessment model based on electromagnetic emission and least‐squares support vector machine
2010,
A new non‐linear assessment model for coal‐rock dynamic disasters is...
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