We consider the estimation of the slope function in functional linear regression, where a scalar response Y is modelled in dependence of a random function X, when Y and only a panel Z <Subscript>1</Subscript>,…,Z <Subscript> L </Subscript> of noisy measurements of X are observable. Assuming an i.i.d. sample of (Y,Z <Subscript>1</Subscript>,…,Z <Subscript> L </Subscript>) of size n...</subscript></subscript></subscript></subscript>

In the Michaelis-Menten model we determine efficient designs by maximizing a minimum of standardized E-efficiencies. It is shown that in many cases the optimal designs are supported at only two points and the support points and corresponding weights can be characterized explicitly. Moreover, a...

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