Sequential

In many applications, e.g., bioinformatics, web access traces, system u- lization logs, etc., the data is naturally in the form of sequences. It has been of great interests to analyze the sequential data to find their inherent char- teristics. The sequential pattern is one of the most widely studied models to capture such characteristics. Examples of sequential patterns include but are not limited to protein sequence motifs and web page navigation traces. In this book, we focus on sequential pattern mining. To meet different needs of various applications, several models of sequential patterns have been proposed. We do not only study the mathematical definitions and application domains of these models, but also the algorithms on how to effectively and efficiently find these patterns.

A Practical Guide to Optical System Setup, Lens Design, and Surface Properties in Zemax Sequential.

Authors: Hamasaki, T., Asakura, K., Evans, S.R., Ochiai, T.
Describes group sequential methods for clinical trials with multiple endpoints including recently developed approaches not covered in other books
Includes several real clinical trial examples to illustrate the concepts and to help readers apply the methods in practice
Illustrates how to implement the sample size methods using standard statistical software including SAS and R