… the error exponent exists, can we design … optimal error exponent among all possible schemes
separates this work from the existing results. For example, [11] derived the error exponents …

… error. However, once this has been accepted, the usual definitions of optimum design … I)
allows just 1 degree of freedom for pure error, whereas the A S -optimum design (design III…

… to make apparent the overall pattern of optimum designs. Our second purpose is to provide
… of optimum design theory, in that the underlying models are linear with independent errors of …

… exponent r in (4.8) from 1 or - I to a positive multiple thereof can only exhibit the G of (2.1 1),
but does not change the optimum designs … -quadratic function of errors may in principle be …

… by this approach for hyperbolic and oneexponential models and Bogumil (11) described …
error, or constant coefficient of variation. Optimal designs will be considered for these two error …

… Optimal Design puts the concept of optimal design on a rigorous foundation and demonstrates
the intimate relationship between the mathematical model that describes a design … design …

… Achieving precise fitting of the optimal nonlinear model is essential, taking into account the
biases inherent in Bayesian optimal design. This study introduces a Bayesian optimal design …

… , the probability of error, and the mean square error achievable with the optimal precoding/decoding
schemes presented so far. As mentioned before, all optimal designs lead invariably …

… design, can be especially significant. In this article, exact Bayes-optimal designs of two- and
… the classical fractional factorial designs for the 2 k experiment are usually optimal, whereas …

… , concentration and shear-rate exponents, statistically affect the design efficiency at the 0.05
… – minimizes the mean squared prediction error and is likewise useful when the minimum …