Date of Award
8-2012
Document Type
Thesis
Degree Name
Master of Science (MS)
Legacy Department
Mathematics
Committee Chair/Advisor
Lund, Robert B
Committee Member
Kulasekera , Karunarathna B
Committee Member
Gallagher , Colin
Committee Member
Kiessler , Peter
Abstract
Our problem involves methods for determining the times of a maximum or minimum for a general mean function in time series data. The methods explored here involve polynomial smoothing. In theory, the methods calculate a general number of derivatives of the estimated polynomial. Using these techniques, we wish to find a balance between error, variance, and complexity and apply it to a time series of sea surface temperatures. We will first explore the theory behind the method and then find a way to optimally apply it to our data.
Recommended Citation
Finney, Michael, "Local Polynomial Regression with Application to Sea Surface Temperatures" (2012). All Theses. 1473.
https://tigerprints.clemson.edu/all_theses/1473