1-20 OF 437 RESULTS FOR

Akaike's information criterion

Results shown limited to content with bounding coordinates.
Follow your search
Access your saved searches in your account

Would you like to receive an alert when new items match your search?
×Close Modal
Sort by
Image
T able  4. . Model support calculated from <b>Akaike&#x27;s</b> <b>Information</b> <b>Criterion</b> w...
Published: 01 November 2011
T able 4. . Model support calculated from Akaike's Information Criterion weighted for small sample size (AICc) for models of genus survival.
Image
T able  6. . Model support calculated from <b>Akaike&#x27;s</b> <b>Information</b> <b>Criterion</b> w...
Published: 01 November 2011
T able 6. . Model support calculated from Akaike's Information Criterion weighted for small sample size (AICc) for regression models of extinction risk within local collections.
Image
A–F, <b>Akaike</b> <b>information</b> <b>criterion</b> (AIC) scores calculated for each possible...
Published: 01 May 2019
Figure 3. A–F, Akaike information criterion (AIC) scores calculated for each possible arrangement between Homo sapiens , Homo neanderthalensis , and Homo heidelbergensis .
Image
(a) Pick times from the <b>Akaike</b> <b>information</b> <b>criterion</b> (AIC) autopicker overl...
Published: 08 August 2018
Figure 5. (a) Pick times from the Akaike information criterion (AIC) autopicker overlain on the stacked cross‐correlation waveforms plotted by distance from the source. Inverted triangles mark the pick times and circles mark the bounds for making picks. (b) Pick times from the short‐term average
Image
Log-likelihoods and <b>Akaike</b> <b>information</b> <b>criterion</b> values for alternative age...
in > PALAIOS
Published: 01 March 2015
Table 4.— Log-likelihoods and Akaike information criterion values for alternative age distribution models for Copano Bay data.
Image
Standard Deviations and <b>Akaike</b> <b>Information</b> <b>Criterion</b> ( AIC ) Values from Di...
Published: 26 August 2014
Table 7 Standard Deviations and Akaike Information Criterion ( AIC ) Values from Different Phases of Models 1, 2, and 3 Model Phase Variables Description Component Period (s) Interevent Sigma ( τ ) Intraevent Sigma ( ) Total Sigma ( σ ) AIC * 1 1 Only magnitude
Image
The <b>Akaike</b> <b>information</b> <b>criterion</b> ( AIC ) values for the horizontal componen...
Published: 26 August 2014
Figure 7. The Akaike information criterion ( AIC ) values for the horizontal component of SA from different phases of models 1 and 2. The color version of this figure is available only in the electronic edition.
Image
Frequency of data fits with the best <b>Akaike</b> <b>information</b> <b>criterion</b>, sorted a...
Published: 01 November 2011
Fig. 7. Frequency of data fits with the best Akaike information criterion, sorted according to the type of transfer function used for the breakthrough curve deconvolution.
Image
Table 6.  <b>Akaike</b> <b>Information</b> <b>Criterion</b> (AIC) analysis of the improvement in...
Published: 01 February 2008
Table 6.  Akaike Information Criterion (AIC) analysis of the improvement in model fit for the models for the west ern European map quadrat data and COSUNA data. We used the simplified version of AIC based on the residual sum of squares (RSS) of the fit of the predicted model values to observed data
Journal Article
Published: 01 October 2013
Bulletin of the Seismological Society of America (2013) 103 (5): 2752-2766.
... automatically and manually picked using various quality criteria resulting in a disparate set of pick weights. We evaluate pick quality using automated arrival detection and picking algorithm based on the wavelet transform and Akaike information criterion picker. The consistency of the arrival information over...
FIGURES | View All (8)
Journal Article
Journal: Geosphere
Published: 01 April 2013
Geosphere (2013) 9 (2): 287-298.
... of the center age dates and standard likelihood methods, includes the effects of age-dating uncertainty and of open time intervals before the first and after the last event. The likelihood techniques are evaluated using Akaike’s Information Criterion (AIC) and Akaike’s Bayesian Information Criterion (ABIC...
FIGURES | View All (5)
Journal Article
Published: 30 August 2016
Bulletin of the Seismological Society of America (2016) 106 (5): 2409-2413.
.... For example, the number of estimated parameters is not considered in the retrospective testing, which contradicts the classical statistical criteria for model selection such as the Akaike information criterion or the Bayesian information criterion. A criterion (score) of statistical model evaluation...
FIGURES | View All (5)
Journal Article
Journal: Paleobiology
Published: 12 February 2018
Paleobiology (2018) 44 (2): 199-218.
... of these steps in detail. Step 2: Next we compare the values of MLE 1 … MLE T to determine which number of extinction pulses is best supported by the data. To do so, we calculate the Akaike information criterion (AIC) and Bayesian information criterion (BIC) for each of the MLEs. We then apply a k...
FIGURES | View All (11)
Journal Article
Published: 06 November 2018
Bulletin of the Seismological Society of America (2018) 109 (1): 482-486.
..., and performed a model selection using the Akaike information criterion over 15,000 subcatalogs spanning different sizes and covering different areas of the world. Results showed that the FMD proposed by Ogata and Katsura (1993) usually performs better than the others even if, in general, it would be appropriate...
FIGURES | View All (5)
Journal Article
Journal: Geophysics
Published: 30 June 2009
Geophysics (2009) 74 (4): J35-J48.
... on the Akaike information criterion(AIC) and continuous wavelet transform (CWT). It is not tied to the restrictive criterion of waveform similarity that underlies crosscorrelation approaches, which is not guaranteed for traces sorted in common ray-angle gathers. It has the advantage of being automated fully...
FIGURES | View All (11)
Journal Article
Journal: PALAIOS
Published: 01 October 2009
PALAIOS (2009) 24 (10): 638-649.
... on Akaike's Information Criterion, an information-theoretic measure of fit that penalizes likelihood of fitting the data with the number of parameters needed to attain the fit. CS is the model in which the underlying probabilities for each sample are constant across different samples. In other words, the most...
FIGURES | View All (7)
Journal Article
Published: 03 April 2019
Seismological Research Letters (2019) 90 (3): 1336-1345.
... using the Akaike information criterion (AIC) algorithm, named PWT‐AIC (in which PWT is polarization wavelet transform). This study aims to address the problem that the AR‐AIC picker selects the global least point as the first arrival; it will cause a questionable arrival identification while being...
FIGURES | View All (7)
Journal Article
Journal: Geophysics
Published: 02 May 2012
Geophysics (2012) 77 (3): B147-B166.
... and for each model parameterization, we performed an extensive surface-wave inversion (200,100 models for five seeds) using the conditional neighborhood algorithm. We addressed the model evaluation following the corrected Akaike’s information criterion (AICc) that combines the concept of misfit to the number...
FIGURES | View All (11)
Journal Article
Published: 02 January 2019
Bulletin of the Seismological Society of America (2019) 109 (1): 413-423.
.... Consequently, the P ‐wave arrival times can be accurately derived from the peaks and valleys of the seismic signal. A comparison of the proposed algorithm with the common short‐term average/long‐term average (STA/LTA) method and the Akaike information criterion (AIC) method is conducted using real data...
FIGURES | View All (9)
Journal Article
Published: 28 November 2017
Bulletin of the Seismological Society of America (2017) 108 (1): 230-237.
... algorithm and STA/LTA+AIC (Akaike information criterion) algorithm. The results from the study show that when dealing with seismic waveforms with high signal level, the STAFD/LTAFD algorithm has similar accuracy as the STA/LTA+AIC algorithm; however, for waveforms with lower SNR the STAFD/LTAFD algorithm...
FIGURES | View All (7)