A bias-corrected nonparametric estimator of daily quadratic variations is proposed. The estimator is a convex combination of two realized kernels with different bandwidths. It converges to the true quadratic variation at the best parametric rate in the presence of a serially dependent noise. Its asymptotic distribution is correctly centered, thus facilitating the feasible inference of an es…

This handbook focuses on the thinking processes necessary for learning by providing descriptions and evaluations of 42 major frameworks--including Bloom's taxonomy, de Bono's lateral and parallel thinking tools, Gardner's theory of multiple intelligences and Paul's model of critical thinking. Unique in its comprehensive coverage and interdisciplinary approach, it offers easy-to-grasp summary ta…