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Table 6 Mean, variance, skewness, kurtosis and the p-value of the SW normality test for the Pearson residual, deviance residual, MQR and RQR in the real data analysis

From: A comparison of residual diagnosis tools for diagnosing regression models for count data

 

Model

Pearson

Deviance

MQR

RQR

Mean

Poisson

0.000

-0.292

0.043

-0.016

 

NB

0.000

-0.311

0.066

-0.022

 

ZIP

0.002

-0.004

0.236

0.153

 

ZINB

0.000

-0.311

0.066

0.001

Variance

Poisson

1.495

0.789

0.555

1.000

 

NB

1.040

0.466

0.425

1.000

 

ZIP

1.145

0.927

0.657

1.000

 

ZINB

1.040

0.466

0.425

1.000

Skewness

Poisson

3.507

2.179

2.467

0.508

 

NB

3.524

1.980

2.058

0.029

 

ZIP

3.546

2.009

2.290

0.361

 

ZINB

3.524

1.980

2.058

0.019

Kurtosis

Poisson

18.225

5.189

7.500

1.259

 

NB

17.649

3.273

3.504

-0.025

 

ZIP

18.306

3.412

5.417

0.512

 

ZINB

17.649

3.272

3.504

0.033

SW test

Poisson

0.000

0.000

0.000

0.000

 

NB

0.000

0.000

0.000

0.452

 

ZIP

0.000

0.000

0.000

0.000

 

ZINB

0.000

0.000

0.000

0.459

  1. Note that for the SW normality test of the RQRs, the average of SW p-values based on 1000 replicated RQRs was presented