Uncertainty propagation in dynamics of structures with correlated damping using a nonlinear statistical model

2016 ◽  
Vol 7 (2) ◽  
pp. 145
Author(s):  
Boualem Tiliouine ◽  
Badreddine Chemali
Keyword(s):  
Statistical Model ◽  
Uncertainty Propagation ◽  
Nonlinear Statistical Model

scholarly journals A Nonlinear Statistical Model for Extracting a Climatic Signal From Glacier Mass Balance Measurements

2018 ◽  
Vol 123 (9) ◽  
pp. 2228-2242 ◽  
Author(s):  
C. Vincent ◽  
A. Soruco ◽  
M. F. Azam ◽  
R. Basantes‐Serrano ◽  
M. Jackson ◽  
...  
Keyword(s):  
Statistical Model ◽  
Mass Balance ◽  
Glacier Mass Balance ◽  
Climatic Signal ◽  
Nonlinear Statistical Model

A new procedure for nonlinear statistical model extraction of GaAs FET-integrated circuits

2003 ◽  
Vol 13 (5) ◽  
pp. 348-356 ◽  
Author(s):  
Francesco Centurelli ◽  
Alberto Di Martino ◽  
Giuseppe Scotti ◽  
Pasquale Tommasino ◽  
Alessandro Trifiletti
Keyword(s):  
Integrated Circuits ◽  
Statistical Model ◽  
Model Extraction ◽  
Nonlinear Statistical Model

Accounting for Observed Cycle Features with a Range of Statistical Models

2016 ◽  
Author(s):  
Don Harding ◽  
Adrian Pagan
Keyword(s):  
United States ◽  
Time Series ◽  
Statistical Model ◽  
Statistical Models ◽  
Linear Models ◽  
Nonlinear Models ◽  
The United States ◽  
Multivariate Methods ◽  
Vector Autoregressions ◽  
Nonlinear Statistical Model

This chapter looks at observed features of the cycle in a variety of time series. It sets out these features for the United States and a number of other countries, and then asks whether these features can be replicated by the use of a particular statistical model—a linear autoregression. For such linear models it is possible to broadly account for the observed features using moments of the series for growth rates, and this strategy is employed in the chapter. It then uses a particular nonlinear statistical model to see if it can match all the features, and further looks at two other nonlinear models first dealt with in Chapter 4. The chapter concludes with an examination of whether the binary indicators summarizing the recurrent states can be used in the context of standard multivariate methods such as vector autoregressions. This turns out not to be straightforward owing to the nature of the binary variables.

Statistical Model Fitting: A State-of-the-Art Review

1978 ◽  
Vol 23 (11) ◽  
pp. 937-938
Author(s):  
JAMES R. KLUEGEL
Keyword(s):  
Statistical Model ◽  
State Of The Art ◽  
Model Fitting

STATISTICAL MODEL FOR DETERMINATION OF PROBABILITY OF LIGHTNING STROKES TO GROUND OBJECTS

2016 ◽  
Vol 2016 (2) ◽  
pp. 11-18 ◽  
Author(s):  
E.I. Sokol ◽  
◽  
М.М. Rezinkina ◽  
О.L. Rezinkin ◽  
O.G. Gryb ◽  
...  
Keyword(s):  
Statistical Model
Sign in / Sign up

Export Citation Format

Share Document