Poor lighting conditions in highway.

Intra-Subject Deviations Walk.

Summary on intra-subject variability in trot. Evaluation by the measures discussed in [11].

Statistics of the A-sets and the S-sets.

Intra-Subject Deviations Trot.

Fit index and LRT false positive rate (of 500 samples) for all models and normal data (skew and kurtosis = 0).

Comparison of detection rate using 3 Methods on KITTI and DETRAC datasets.

Car area variation along with its direction using the 3 methods, IPM, Homography and MIPM.

Selected sequences are in urban area with sunny weather.

Images' sizes.

Variables used for estimation of the Lerner index.

The boldface indicates the best objective values in each subset.

This course focuses on the application of econometric techniques for panel data analysis and the interpretation of panel-data regression estimates. The course will introduce...

Inter-Subject Deviations Trot.

Data on GMM are available from the authors. (XLSX)

Dataset dimension.

System GMM regression estimates of Ln (per capita GDP) on selected variables.

In urban area with snowy weather.

The boldface indicates the best objective values in each subset.

Pearson pair wise correlation matrix of independent variables used in the analysis.