Detection of switching time

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Title: Detection of switching time
Author: Sanghvi, Palak
Abstract: In this thesis , we talk about detecting switches and jumps in the data . Every dataset has a certain hidden pattern in it . These patterns are sometimes irregular and abnormal because of the jumps and switches in the datasets or sometimes because of outliers in the datasets . At the point of out lier , data changes it's pattern and it looks irregular . Generally people use control limiting to detect those changes or outliers , but using control limiting one can not detect the minor changes . So , we use change point analysis along with splines and Gibbs phenomenon to detect minor shifts or changes in the dataset . But , we can not use change point analysis in stead of control charting , both methods are used in complementary fashion . Control charting is useful to detect single outliers , and change point analysis detects bunch of outliers at a time . Here our dataset is a mixture of two data sets , in which one dataset is a set of outliers . We are trying to separate these two datasets using change point analysis , and trying to find the change point in between these two datasets , This change point is called the shift or jump .
URI: http : / /hdl .handle .net /2346 /21570
Date: 2008-08


Detection of switching time. Master's thesis, Texas Tech University. Available electronically from http : / /hdl .handle .net /2346 /21570 .

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