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Table 1 Summary of ML estimation of the regression model for the simulated data

From: Estimation of a linear model with two-parameter symmetric platykurtic distributed errors

Sample size ( n)

Parameter

Estimate

Standard error

Wald 95% confidence limits

Chi-square

Pr > chi-square

Lower

Upper

100

β 0

4.0747

0.2515

3.5817

4.5677

262.46

<.0001

β 1

1.9914

0.0216

1.9491

2.0337

8,510.03

<.0001

β 2

2.9998

0.0010

2.9978

3.0019

8,263,598

<.0001

σ

1.0668

0.0754

0.9288

1.2254

  

1,000

β 0

3.8958

0.0696

3.7593

4.0323

3,129.59

<.0001

β 1

2.0062

0.0065

1.9935

2.0189

96,198.0

<.0001

β 2

2.9999

0.0001

2.9997

3.0000

1.408E9

<.0001

σ

1.0242

0.0229

0.9803

1.0701

  

3,000

β 0

4.0504

0.0407

3.9707

4.1301

9,916.51

<.0001

β 1

1.9938

0.0036

1.9867

2.0009

303,055

<.0001

β 2

2.9999

0.0000

2.9999

3.0000

3.731E9

<.0001

σ

1.0037

0.0130

0.9786

1.0294

  

5,000

β 0

4.0012

0.0315

3.9394

4.0630

16,095.1

<.0001

β 1

2.0013

0.0028

1.9957

2.0068

506,637

<.0001

β 2

3.0000

0.0000

3.0000

3.0000

6.34E10

<.0001

σ

0.9988

0.0100

0.9794

1.0186

  

10,000

β 0

4.0052

0.0220

3.9620

4.0483

33,060.4

<.0001

β 1

1.9981

0.0020

1.9942

2.0019

1,031,236

<.0001

β 2

3.0000

0.0000

3.0000

3.0000

9.55E11

<.0001

σ

0.9850

0.0070

0.9714

0.9987

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