Using simulation, I evaluated five regression procedures that are used for analyzing methods comparison data: ordinary least-squares regression analysis, weighted least-squares regression analysis, the Deming method, a weighted modification of the Deming method, and a rank procedure. I recorded the following performance measures: plus or minus bias of the slope estimate, the root mean squared e...

This paper describes various time-domain methods useful for analyzing the experimental data obtained from a circular cylinder force in terms of both wave and current for estimation of the drag and inertia coefficients applicable to the Morison’s equation. An additional approach, weighted least squares method is also introduced. A set of data obtained from experiments on heavily roughened circul...

Summary This work studies an experimental design problem where the values of a predictor variable, denoted by $x$, are to be determined with goal estimating function $m(x)$, which is observed noise. A linear model fitted but it not assumed that correctly specified. It follows quantity interest best approximation $\ell(x)$. shown in this framework ordinary least squares estimator typically leads...

We present and analyze a class of nonsymmetric preconditioners within a normal (weighted least-squares) matrix form for use in GMRES to solve nonsymmetric matrix problems that typically arise in finite element discretizations. An example of the additive Schwarz method applied to nonsymmetric but definite matrices is presented for which the abstract assumptions are verified. A variable precondit...