Applied Sequential Methodologies

The book contains: best component selection for multivariate distributions; Multistate processes Approximations for moving sums of discrete random variables; Interim and terminal analyses of clinical trials; Adaptive designs for longitudinal clinical trials are given; Slope estimation in measurement-error models; Tests for randomization and target tracking; Appropriate count of simulation runs; Stock price models; Orders of genes Size and power control in multiple comparisons. Authored by 33 leading scientists, this volume will greatly benefit sequential analysts, data analysts, applied statisticians, biometricians, clinical trialists, and upper-level undergraduate and graduate students in these disciplines.