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2.
Hybrid Model for Interpretable Time Series Analysis
by Rosales, Ruben, M.S.  California State University, Long Beach. 2020: 28 pages; 27835218.
3.
Exact Primitives for Time Series Data Mining
by Mueen, Abdullah Al, Ph.D.  University of California, Riverside. 2012: 184 pages; 3503286.
5.
Second time parenting: Grandparents as parents seminar series
by Spencer, Clairessa, M.S.W.  California State University, Long Beach. 2009: 60 pages; 1466350.
6.
Three essays on investments and time series econometrics
by Brooks, Joshua Andrew, Ph.D.  The University of Alabama. 2015: 143 pages; 3711188.
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Invariance principles in functional time series analysis with applications
by Rice, Gregory, Ph.D.  The University of Utah. 2015: 110 pages; 3746458.
8.
A Time Series Study of Rigel, a B8Ia Supergiant
by Rother, Sara, M.S.  The University of Toledo. 2009: 81 pages; 10835863.
9.
Time Series Evaluation of Childhood Diarrhea in Abu Homos, Egypt
by Porter, Chad Kiser, Ph.D.  The George Washington University. 2011: 242 pages; 3443342.
10.
Deep Learning Applications for Medical Imaging and Time-Series Data
by Martinez, Anthony, M.S.  California State University, Long Beach. 2019: 60 pages; 27545665.
11.
Online Management and Mining of Heteregenous and Dynamic Time Series
by Altiparmak, Fatih, Ph.D.  The Ohio State University. 2008: 176 pages; 10630894.
12.
A Novel Distance Measure and Semantic Segmentation for Time Series Data
by Gharghabi, Shagahyegh, Ph.D.  University of California, Riverside. 2020: 131 pages; 28093634.
13.
Disaggregating time series data for energy consumption by aggregate and individual customer
by Vitullo, Steven R., Ph.D.  Marquette University. 2011: 150 pages; 3487305.
16.
Ordinal time series analysis for Air Quality Index (AQI) in San Bernardino County
by Chitakasempornkul, Kessinee, M.S.  California State University, Long Beach. 2012: 130 pages; 1517602.
17.
The Portrayal of Risk-taking Behaviors in Traffic on the Prime-time Television Series
by Ren, Wenshuo, M.S.  Southern Illinois University at Edwardsville. 2013: 97 pages; 1545650.
19.
Learning from time series in the presence of noise: Unsupervised and semi-supervised approaches
by Yankov, Dragomir Dimitrov, Ph.D.  University of California, Riverside. 2008: 165 pages; 3305676.
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Statistics for Time-Series Spatial Data: Applying Survival Analysis to Study Land-Use Change
by Wang, Ninghua Nathan, Ph.D.  University of California, Santa Barbara. 2013: 199 pages; 3612050.
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Broken Windows in a Gentrifying City? An Interrupted Time Series Analysis of OMP in Inglewood, California
by Taboada, Diego, M.S.  California State University, Long Beach. 2020: 130 pages; 27963436.
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Blood Glucose Regulation System for Type 1 Diabetic Rats by using Time Series Neural Network Based Model Predictive Control
by Kirilmaz, Omer Batuhan, M.S.  Southern Illinois University at Edwardsville. 2020: 55 pages; 28030990.
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