Results 41 to 50 of about 1,508,834 (285)
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
Weighted total least squares formulated by standard least squares theory [PDF]
Weighted total least squares formulated by standard least squares theoryThis contribution presents a simple, attractive, and flexible formulation for the weighted total least squares (WTLS) problem. It is simple because it is based on the well-known standard least squares theory; it is attractive because it allows one to directly use the existing body ...
A. Amiri-Simkooei, S. Jazaeri
openaire +1 more source
Efficient Total Least Squares State and Parameter Estimation for Differentially Flat Systems [PDF]
This paper proposes an efficient framework for the total least squares (TLS) estimation of differentially flat system states and parameters. Classical ordinary least squares (OLS) estimation assumes: (i) that only the dependent (i.e., output) signals are
Fathy, H +4 more
core +1 more source
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
Parent‐to‐Child Information Disclosure in Pediatric Oncology
ABSTRACT Background Despite professional consensus regarding the importance of open communication with pediatric cancer patients about their disease, actual practice patterns of disclosure are understudied. Extant literature suggests a significant proportion of children are not told about their diagnosis/prognosis, which is purported to negatively ...
Rachel A. Kentor +12 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
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
ABSTRACT Background Chronic kidney disease is a growing public health problem worldwide, and the number of patients requiring renal replacement therapy is steadily increasing. Türkiye has experienced a similar rise in both the incidence and prevalence of renal replacement therapy over the past decades; however, national‐level projections of future ...
Arzu Akgül +2 more
wiley +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

