In 1992, Doulas Wiens suggested a problem that considers the optimal design minimizing the variance of the estimator of the parameters of regression function when the fitted model is correct, subject to a bound on the bias term which occurs when the true model is different from the assumed one. The corresponding optimal designs can be called bounded bias optimal designs. Some general results for D-optimality was obtained and published (see Liu and Wiens, 1997). In this paper, we study mainly A-optimal designs. For some special cases of bounded functions, explicitly design measures are given.
Most courses taught in Computer Science still use the traditional lecture plus lab format, usually with one or more required texts as reference. While many instructors now also use the web to augment this, many if not most use it simply as a convenient place to put materials they would normally hand out on paper in class. Some keep all their lecture notes and slides on their laptops or on the web and then display them during class as the basis for their lectures. Students do find it useful to have access to lecture notes and many appreciate being able to print out lecture notes before a class so they can follow along during lectures. Since access to computers and skill in their use is...