Consistency Via Type 2 Inequalities: A Generalization of Wu's Theorem
Keyword(s):
Wu introduced a new technique for proving consistency of least-squares estimators in nonlinear regression. This paper extends his results in three directions. First, we consider the minimization of arbitrary functions (M-estimators instead of least squares). Second, we use an improved type 2 inequality. Third, an extension of Kronecker's lemma yields a more powerful result.
1987 ◽
Vol 34
(1)
◽
pp. 379-383
◽
2008 ◽
Vol 216
(2)
◽
pp. 509-513
◽
2012 ◽
Vol 25
(2 (C))
◽
pp. 105-110
1989 ◽
Vol 5
(3)
◽
pp. 269-278
1993 ◽
Vol 47
(2)
◽
pp. 345-352
◽
Keyword(s):
1961 ◽
Vol 40
(3)
◽
pp. 821-840
◽
Keyword(s):
2010 ◽
Vol 100
(2)
◽
pp. 127-135
◽
Keyword(s):
2007 ◽
Vol 119
(856)
◽
pp. 643-660
◽