Results 1 to 10 of about 25 (25)

On estimator efficiency in stochastic processes

It is shown, under mild regularity conditions on the random information matrix, that the maximum likelihood estimator is efficient in the sense of having asymptotically maximum probability of concentration about the true parameter value. In the case of a
Sweeting, Trevor
core  

Nonparametric estimation of multivariate scale mixtures of uniform densities. [PDF]

J Multivar Anal, 2012
Pavlides MG, Wellner JA.
europepmc   +1 more source

Estimation of a discrete monotone distribution. [PDF]

Electron J Stat, 2009
Jankowski HK, Wellner JA.
europepmc   +1 more source

Internuclear effects on prototroph frequencies of some crosses in Neurospora crassa. [PDF]

Genetics, 1966
Griffiths AJ, Threlkeld SF.
europepmc   +1 more source

An unusual presentation of dialysis-related amyloidosis: a large tumor extending from the gingiva to the palate. [PDF]

CEN Case Rep
Iwanari S, Tanaka M, Akimune T, Suzuki Y, Morita A, Matsuyama Y, Takayoshi M, Yamamoto H, Nishiyama Y, Iwamoto S, Murata A, Ishida Y, Teragaki M, Ikeda M, Takeoka H.   +14 more
europepmc   +1 more source

On Adaptive Estimation

Annals of Statistics, 1982
P J Bickel
exaly  

Lower Bounds for Nonparametric Density Estimation Rates

Annals of Statistics, 1978
J Michael Steele
exaly  

Asymptotics for $M$-Estimators Defined by Convex Minimization

Annals of Statistics, 1992
Wojciech Niemiro
exaly  

Asymptotic Lognormality of $P$-Values

Annals of Statistics, 1982
Diane Lambert, W J Hall
exaly  

Estimating a Distribution Function with Truncated Data

Annals of Statistics, 1985
Michael Woodroofe
exaly