Date of Award
1-1-2018
Language
English
Document Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
College/School/Department
Department of Epidemiology and Biostatistics
Program
Biostatistics
Content Description
1 online resource (ii, xvi, 127 pages) : illustrations (some color)
Dissertation/Thesis Chair
Igor Zurbenko
Committee Members
Recai Yucel, Beth Feingold
Keywords
Frequency Domain, Kolmogorov-Zurbenko Filter, Melanoma Skin Cancer, Signal Reconstruction, Spatio-Temporal Scale Separation, Time Series, Melanoma, Frequency curves, Time-series analysis, Time-domain analysis, Signal processing, Solar radiation, Continuous-time filters
Subject Categories
Biostatistics | Epidemiology | Statistics and Probability
Abstract
Time Series Analysis is the observation of variables recorded across time. Observations are visualized and analysis often performed in the native time domain. It is common for a time series to be the dependent variable of more than one factor. Several factors can have concurrent and combined effects. The time domain presents an obstacle due to constructive and destructive interference of factors at each time point. Unless effects are clearly pronounced and separable, the entanglement of factors along with the presence and intensity of random variation can obscure true relationships.
Recommended Citation
Valachovic, Edward, "Spatio-temporal frequency separation with application of Kolmogorov-Zurbenko filters to the multivariate analysis of melanoma prevalence" (2018). Legacy Theses & Dissertations (2009 - 2024). 2183.
https://scholarsarchive.library.albany.edu/legacy-etd/2183