A homework question, occurring in several oft cited best-selling introductory texts covering calculus-based simple linear regression, goes something like this: Suppose we are to collect data and fit a ...

A homework question, occurring in several oft cited best-selling introductory texts covering calculus-based simple linear regression, goes something like this: Suppose we are to collect data and fit a ...

Minimization of the equation error is a well-known and powerful tool, which has been introduced to the reduction of time-invariant linear systems independently ...

Abstract: In this paper, a multisensor linear dynamic system with model uncertainty and bounded noises is considered. Based on previously developed set-valued estimation methods in terms of convex ...

Linear regression with errors in both variables is a common modeling problem with a 100-year literature, yet we have still not achieved the widespread use of a complete and correct solution.

In this task a linear equation is used to model a set of data. By modifying the data points, explore how each of three methods—distance squared, absolute value, and shortest distance—measures how well ...

Systematic Errors in Fitting Linear Transformations of the Michaelis-Menten Equation https://www.jstor.org Read and download Log in through your school or library Alternate access options For ...

VANJA NIKOLIĆ, BARBARA WOHLMUTH, A PRIORI ERROR ESTIMATES FOR THE FINITE ELEMENT APPROXIMATION OF WESTERVELT'S QUASI-LINEAR ACOUSTIC WAVE EQUATION, SIAM Journal on Numerical Analysis, Vol. 57, No. 4 ...