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Table 3 MLEs and −2 logl results for data 1

From: New class of Lindley distributions: properties and applications

 

Estimates (Standard error)

 

Distribution

\(\hat {\theta }\)

\(\hat {\alpha }\)

\(\hat {\beta }\)

\(\hat {\mu }\)

\(\hat {\sigma }\)

−2 logl

W-L{E}

0.01115

1.1022

0.4079

  

1442.4

 

(0.0112)

(0.1673)

(0.5492)

   

E-L{LL}

0.000992

9.5182

1.2670

  

1447.9

 

(0.0019)

(27.5824)

(0.0931)

   

N-L{C}

0.003924

  

-1.2257

2.1814

1411.3

 

(0.0002)

  

(0.2708)

(0.1513)

 

BL

0.03285

3.7594

0.1402

  

1426.1

 

(0.0012)

(0.9457)

(0.0156)

   

GL

0.006546

1.2101

488.66

  

1442.0

 

(0.0009)

(0.2813)

(98.4565)

   

WD

130.7596

0.5323

145.2258

 

1.7667

1416.2

 

(128.7734)

(0.0832)

(126.1961)

 

(0.2007)

 

BD

1.0692

56.9652

1.4673

35.9480

1.3783

1424.8

 

(33.1823)

(1499.3341)

(1.4326)

(1085.1941)

(0.8115)