Research Article

Influence Diagnostic Methods in the Poisson Regression Model with the Liu Estimator

Table 1

Influence diagnostics detections (%) with and .


250.7579.247.547.596.191.87776.991.8
0.8577.642.442.495.191.175.775.890.9
0.9579.544.944.995.190.277.177.190.2
0.9975.6404094.590.372.272.290.3

500.7580.937.137.19791.97171.191.9
0.858135.935.997.69170.770.591
0.9579.332.632.697.390.868.868.790.8
0.9978.533.233.296.191.268.268.191.2

1000.7589.542.242.298.695.973.973.795.9
0.8587.537.937.99994.472.872.794.4
0.9586.335.735.797.994.870.170.194.8
0.9986.939.139.198.495.474.274.495.4

1500.7591454599.296.176.876.996.1
0.8589.139.339.398.795.372.672.695.3
0.9590.838.338.399.2967372.996
0.9988.239.739.79994.971.871.894.9

2000.7591.647.447.499.396.575.475.596.5
0.8591.442.742.799.196.773.573.596.7
0.9590.741.141.199.995.372.572.595.3
0.9993.841.341.399.396.875.675.596.8