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Topics in Multivariate Time Series Analysis: Statistical Control, Dimension Reduction Visualization and Thir Business Applications
Topics in Multivariate Time Series Analysis Statistical Control Dimension Reduction Visualization Their Business Applications
2014/10/28
Most business processes are, by nature, multivariate and autocorrelated. Highdimensionality is rooted in processes where more than one variable is considered simultaneously to provide a more comprehen...
Feasibility Study of Parameter Identification Method Based on Symbolic Time Series Analysis and Adaptive Immune Clonal Selection Algorithm
Structural Health Monitoring Clonal Selection Algorithm Symbolic Time Series Analysis Adaptive Immune Building Structures
2013/1/31
The feasibility of a parameter identification method based on symbolic time series analysis (STSA) and the adaptive immune clonal selection algorithm (AICSA) is studied. Data symbolization by using ST...
Using nurses to identify HAART eligible patients in the Republic of Mozambique: results of a time series analysis
HAART eligible patients the Republic of Mozambique time series analysis
2009/9/27
The CD4 nurse intervention, when implemented correctly, was associated with a more rational use of higher-level clinical providers, which may improve overall clinic flow and efficient use of the limit...
A note on the estimation of degree of differencing in long memory time series analysis
the estimation of degree long memory time series analysis
2009/9/23
In this paper we investigate the properties of the
estimator of degree of differencing the fractional d in long memory
time series analysis via consistent spectral density estimation. It is
shown t...
VIBRATION-BASED DAMAGE DETECTION IN FLEXIBLE RISERS USING TIME SERIES ANALYSIS
flexible riser damage detection time series analysis AR-ARX prediction model
2008/12/19
In this paper, a statistical pattern recognition method based on time series analysis is implemented in flexible risers. This method uses a combination of Auto-Regressive (AR) and Auto-Regressive with...
Cowles commission structural equation approach in light of nonstationary time series analysis
Cowles commission structural equation approach nonstationary time series analysis
2010/4/27
We review the advancement of nonstationary time series analysis
from the perspective of Cowles Commission structural equation approach.
We argue that despite the rich repertoire nonstationary time s...
Combining domain knowledge and statistical models in time series analysis
time series analysis domain knowledge empirical models mechanisticmodels combined substantive-empirical approach basis function
2010/4/27
This paper describes a new approach to time series modeling that
combines subject-matter knowledge of the system dynamics with statistical
techniques in time series analysis and regression. Applicat...