• No se han encontrado resultados

An irregular discrete time series model to identify residuals with autocorrelation in astronomical light curves

N/A
N/A
Protected

Academic year: 2020

Share "An irregular discrete time series model to identify residuals with autocorrelation in astronomical light curves"

Copied!
12
0
0

Texto completo

Loading

Figure

Table 2. Maximum likelihood estimation of simulated IAR series of size n, with exponential distribution mix observation times, λ 1 = 300 and λ 2 = 10
Figure 1. Comparison of standard deviation at each time of a sequence simulated with the IAR model with parameter φ = 0.99 and length 100
Table 5. Implementation of the t-distributed IAR model and the CAR(1) model on simulated Student’s t IAR series
Figure 2. In the first row, the light curves of a Classical Cepheid, EW, and DSCUT are shown in Figs (a)–(c), respectively
+4

Referencias

Documento similar

To illustrate how the proposed job satisfaction model could be used in a real simulation, we incorporate it in the following artificial labour market..

A QVT-R transformation S can be used in enforce mode to create a target model from scratch starting from a source model 7 , or in checkonly mode to check the relation between

The adopted best model from a simultaneous fit to the J- and i-band dilution-corrected light curves is shown by the solid red line (see Section 5.1). The lower panel shows the

Before generating the rules we use the deduction and annotation mechanisms on the initial M2M pattern specification in order to transform N-patterns into negative post-conditions of

To analyse differences in SMR of larval newts associated to skin pigmentation we used a forward stepwise gen- eral regression model (GRM) with microhabitat (‘light’ vs. ‘dark’)

Left-hand panel: two-planet fit (model B2) to the observed data with no quadratic trend removed.. Right-hand panel: periodogram of residuals to

Finally, specifications are independent of the implementation language, and they can be used for testing implementations written in different languages. In particular, the approach

If we apply this specification to an EMF model and a design pattern vocabulary model (instances of the meta-models in Fig. 4), we can identify instances of the patterns in the