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Time Series Analysis

Known as: time line method 
There are two main goals of time series analysis: (a) identifying the nature of the phenomenon represented by the sequence of observations, and (b… 
National Institutes of Health

Related topics

Related topics

5 relations
Longitudinal Studies

Narrower (3)

concomitant time series analysispooled time series analysistime series study

Broader (1)

diachronic analysis

Papers overview

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2013
2013
Using microbial fuel cell output metrics and nonlinear modeling techniques for smart biosensing.
2006
2006
Anomaly Detection in Thermal Pulse Combustors Using Symbolic Time Series Analysis
Abstract This paper presents symbolic time series analysis of observable process variables for anomaly detection in thermal pulse… 
2005
2005
Inferring pathogen inactivation from the surface temperatures of compost heaps.
2004
2004
The hot summer 2003 in Germany. Some preliminary results of a statistical time series analysis
A statistical analysis of the summer (June, July, and August) surface air temperature, time series 1761-2003, representative of… 
2004
2004
The impact of guidelines on mild hypertension in pregnancy: time series analysis
Objective  To determine the impact of a national strategy to promote implementation of a guideline on the management of mild, non… 
2003
2003
Statistical Damage Detection Using Time Series Analysis on a Structural Health Monitoring Benchmark Problem
ABSTRACT: A damage diagnosis approach using time series analysis of vibration signals was recently proposed by the Los Alamos… 
2000
2000
Linear combination of restrictions and forecasts in time series analysis
An important tool in time series analysis is that of combining information in an optimal way. Here we establish a basic combining… 
Review
1997
Review
1997
Time Series Analysis and its Relationship with Longitudinal Analysis
This paper discusses the relationship between longitudinal analysis of inter-individual (co-)variation and time series analysis… 
1996
1996
Time series analysis in critical care monitoring.
Time series analysis techniques facilitate statistical analysis of variables in the course of time. Continuous monitoring of the… 
Highly Cited
1981
Highly Cited
1981
Finding causes of seasonal diseases using time series analysis.
The relationship between monthly Ischaemic Heart Disease mortality and mean monthly temperature and rainfall is examined using… 
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