Table 4 Comparison among the existing and proposed M-estimators for n = 100.

From: Enhancing performance in the presence of outliers with redescending M-estimators

Method

Case-I

Case-II

Const

X

Const

X

OLS

1.99842

1.00002

7.04260

0.99794

Tukey (4.69)

1.99742

1.00011

1.99586

1.00018

Hample (4)

1.99742

1.00008

1.99586

1.00045

Huber (4)

1.99834

1.00002

1.99760

1.00023

Andrew(3.2)

1.99801

1.00021

2.19465

1.00004

Ullah (4)

2.00924

0.99964

1.99743

0.99764

Ali (4)

2.00303

0.99984

1.99923

1.00011

Khalil (5)

2.02813

0.99846

2.00358

0.999761

Raza (2)

1.99736

1.00009

1.99331

1.00047

Proposed

2.004547

0.99971

2.00341

0.999912