Table 11 Estimated MSE and coefficient of GPMLE and GPRRE for the dataset.

From: A bias-reduced estimator for generalized Poisson regression with application to carbon dioxide emission in Canada

Estimator

\(\beta _0\)

\(\beta _1\)

\(\beta _2\)

\(\beta _3\)

\(\beta _4\)

\(\beta _5\)

\(\beta _6\)

MSE

GPMLE

–

3.1606

− 0.0034

− 0.0161

− 0.0147

0.0864

0.1021

0.0128

29.2930

GPRRE

\(\hat{k}^*_{1 }\)

3.0143

− 0.0034

− 0.0273

0.0007

0.0528

0.1127

0.0487

2.7943

\(\hat{k}^*_{2 }\)

2.9869

− 0.0034

− 0.0292

0.0035

0.0491

0.1167

0.0508

2.3287

\(\hat{k}^*_{3 }\)

2.9869

− 0.0034

− 0.0292

0.0035

0.0491

0.1167

0.0508

2.3287

\(\hat{k}^*_{4 }\)

3.1597

− 0.0034

− 0.0162

− 0.0146

0.0859

0.1019

0.0136

28.4057

\(\hat{k}^*_{5 }\)

3.1080

− 0.0034

− 0.0202

− 0.0092

0.0687

0.1014

0.0359

8.0755

\(\hat{k}^*_{6 }\)

3.1073

− 0.0034

− 0.0203

− 0.0091

0.0686

0.1014

0.0360

7.9869

\(\hat{k}^*_{7 }\)

3.1576

− 0.0034

− 0.0163

− 0.0144

0.0848

0.1015

0.0152

26.3976

\(\hat{k}^*_{8 }\)

3.0658

− 0.0034

− 0.0235

− 0.0047

0.0606

0.1057

0.0433

4.4871

\(\hat{k}^*_{9 }\)

3.0900

− 0.0034

− 0.0216

− 0.0073

0.0650

0.1030

0.0396

6.0952

\(\hat{k}^*_{10}\)

3.1605

− 0.0034

− 0.0161

− 0.0147

0.0863

0.1020

0.0129

29.1616

\(\hat{k}^*_{11}\)

3.1432

− 0.0034

− 0.0175

− 0.0129

0.0786

0.1003

0.0240

17.1243

\(\hat{k}^*_{12}\)

2.8888

− 0.0034

− 0.0360

0.0136

0.0370

0.1319

0.0563

1.5296

\(\hat{k}^*_{13}\)

2.9429

− 0.0034

− 0.0323

0.0081

0.0435

0.1234

0.0535

1.8580

\(\hat{k}^*_{14}\)

2.8458

− 0.0034

− 0.0387

0.0179

0.0320

0.1388

0.0581

1.3728

\(\hat{k}^*_{15}\)

2.9580

− 0.0034

− 0.0313

0.0065

0.0454

0.1211

0.0527

1.9912