Modal Analysis of Multiple Eigenvalue Systems by Data Dependent Systems

1991 ◽  
Vol 113 (3) ◽  
pp. 416-417 ◽  
Author(s):  
N. P. Mehta ◽  
S. M. Pandit
Keyword(s):  
System Theory ◽  
Time Series ◽  
Modal Analysis ◽  
System Analysis ◽  
Real Life ◽  
Life Data ◽  
Real Life Data ◽  
Time Series Approach ◽  
Modeling Strategy

This note outlines an extension of the Data Dependent Systems (DDS) methodology to the modal analysis of vibratory systems with eigenvalues of arbitrary multiplicity. DDS [1, 2] is a time-series approach to system analysis that combines a rational modeling strategy with elements of linear system theory. The use of an appropriate state-space setting makes it a powerful tool for system identification, and the approach has been successfully applied to the modal characterization of mechanical systems in references [2–4], which provide many examples with real life data.

scholarly journals Estimation Methods for a Flexible INAR(1) COM-Poisson Time Series Model

2018 ◽  
Vol 14 (1) ◽  
pp. 57-82 ◽  
Author(s):  
Y. Sunecher ◽  
N. Mamode Khan ◽  
V. Jowaheer
Keyword(s):  
Time Series ◽  
Real Life ◽  
Estimation Methods ◽  
Unknown Parameters ◽  
Simulation Experiments ◽  
Time Series Of Counts ◽  
First Order ◽  
Life Data ◽  
Data Application ◽  
Real Life Data

Abstract Time series of counts occur in many real-life situations where they exhibit various forms of dispersion. To facilitate the modeling of such time series, this paper introduces a flexible first-order integer-valued non-stationary autoregressive (INAR(1)) process where the innovation terms follow a Conway-Maxwell Poisson distribution (COM-Poisson). To estimate the unknown parameters in this model, different estimation approaches based on likelihood and quasi-likelihood formulations are considered. From simulation experiments and a real-life data application, the Generalized Quasi-Likelihood (GQL) approach yields estimates with lower bias than the other estimation approaches.

scholarly journals Detecting breakpoints in artificially modified- and real-life time series using three state-of-the-art methods

2016 ◽  
Vol 8 (1) ◽  
pp. 78-98 ◽  
Author(s):  
Dániel Topál ◽  
István Matyasovszkyt ◽  
Zoltán Kern ◽  
István Gábor Hatvani
Keyword(s):  
Time Series ◽  
State Of The Art ◽  
Real Life ◽  
Life Time ◽  
Detection Methods ◽  
Data Sets ◽  
Life Data ◽  
Real Life Data ◽  
Breakpoint Detection ◽  
Insight Into

AbstractTime series often contain breakpoints of different origin, i.e. breakpoints, caused by (i) shifts in trend, (ii) other changes in trend and/or, (iii) changes in variance. In the present study, artificially generated time series with white and red noise structures are analyzed using three recently developed breakpoint detection methods. The time series are modified so that the exact “locations” of the artificial breakpoints are prescribed, making it possible to evaluate the methods exactly. Hence, the study provides a deeper insight into the behaviour of the three different breakpoint detection methods. Utilizing this experience can help solving breakpoint detection problems in real-life data sets, as is demonstrated with two examples taken from the fields of paleoclimate research and petrology.

Neuropsychology in the Real World

2014 ◽  
Vol 25 (4) ◽  
pp. 233-238 ◽  
Author(s):  
Martin Peper ◽  
Simone N. Loeffler
Keyword(s):  
Neuropsychological Assessment ◽  
Real World ◽  
Ecological Validity ◽  
Real Life ◽  
Emotional States ◽  
Context Sensitive ◽  
Traditional Assessment ◽  
Life Data ◽  
Real Life Data ◽  
Assessment And Treatment

Current ambulatory technologies are highly relevant for neuropsychological assessment and treatment as they provide a gateway to real life data. Ambulatory assessment of cognitive complaints, skills and emotional states in natural contexts provides information that has a greater ecological validity than traditional assessment approaches. This issue presents an overview of current technological and methodological innovations, opportunities, problems and limitations of these methods designed for the context-sensitive measurement of cognitive, emotional and behavioral function. The usefulness of selected ambulatory approaches is demonstrated and their relevance for an ecologically valid neuropsychology is highlighted.

The epidemiology of thyroid cancer within a center of excellence in Athens: Real life data

2017 ◽  
Author(s):  
Eleni Pantazi ◽  
Alexios Travlos ◽  
Evaggelia Vogiatzi ◽  
Ifigenia Kostoglou-Athanassiou
Keyword(s):  
Thyroid Cancer ◽  
Real Life ◽  
Life Data ◽  
Center Of Excellence ◽  
Real Life Data
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