Results 41 to 50 of about 1,514,703 (285)
Total Least Squares Approach to Modeling: A Matlab Toolbox [PDF]
This paper deals with a mathematical method known as total least squares or orthogonal regression or error-in-variables method.The mentioned method can be used for modeling of static and also dynamic processes.
Ivo Petráš, Dagmar Bednárová
doaj
Comparison of straight line curve fit approaches for determining parameter variances and covariances
Pressure balances are known to have a linear straight line equation of the form y = ax + b that relates the applied pressure x to the effective area y, and recent work has investigated the use of Ordinary Least Squares (OLS), Weighted Least Squares (WLS),
Ramnath Vishal
doaj +1 more source
Position and Orientation Estimation of a Rigid Body: Rigid Body Localization [PDF]
Rigid body localization refers to a problem of estimating the position of a rigid body along with its orientation using anchors. We consider a setup in which a few sensors are mounted on a rigid body. The absolute position of the rigid body is not known,
Chepuri, Sundeep Prabhakar +2 more
core +2 more sources
ABSTRACT Purpose Retinoblastoma (RB) is the most common pediatric ocular cancer, yet population‐based data on survival and risk factors remain limited. This study aimed to describe survival in a large national RB cohort and identify predictors of death and complications.
Samuel Sassine +14 more
wiley +1 more source
Regularization Total Least Squares and Randomized Algorithms
In order to achieve an effective approximation solution for solving discrete ill-conditioned problems, Golub, Hansen, and O’Leary used Tikhonov regularization and the total least squares (TRTLS) method, where the bidiagonal technique is considered to ...
Zhanshan Yang, Xilan Liu, Tiexiang Li
doaj +1 more source
ABSTRACT Background Families of children with cancer experience significant financial strain, even with universal healthcare. Indirect costs, such as productivity losses and non‐medical expenses, are rarely included in economic evaluations, and little is known about how effectively financial aid programmes alleviate this burden. Childhood brain tumours
Megumi Lim +8 more
wiley +1 more source
Scaled weighted total least-squares adjustment for partial errors-in-variables model
Scaled total least-squares (STLS) unify LS, Data LS, and TLS with a different choice of scaled parameter. The function of the scaled parameter is to balance the effect of random error of coefficient matrix and observation vector for the estimate of ...
Zhao J.
doaj +1 more source
Better Nonlinear Models from Noisy Data: Attractors with Maximum Likelihood
A new approach to nonlinear modelling is presented which, by incorporating the global behaviour of the model, lifts shortcomings of both least squares and total least squares parameter estimates.
E. Baake +24 more
core +2 more sources
ABSTRACT Background The management of clinically apparent single lesions or oligofocal nephroblastomatosis, a facultative precursor of nephroblastoma, remains debated. Methods We retrospectively analyzed 37 patients with clinically apparent single or oligofocal nephroblastomatosis (two to three lesions per kidney) among 2347 patients registered between
Nils Welter +17 more
wiley +1 more source
A Contribution to the Conditioning of the Total Least-Squares Problem [PDF]
We derive closed formulas for the condition number of a linear function of the total least squares solution. Given an over determined linear system Ax=b, we show that this condition number can be computed using the singular values and the right singular vectors of [A,b] and A.
Baboulin, Marc, Gratton, Serge
openaire +4 more sources

