Results 231 to 240 of about 6,008 (306)

How estimating nuisance parameters can reduce the variance (with consistent variance estimation). [PDF]

Stat Med
Lok JJ.
europepmc   +1 more source

Multi-Sensor Adaptive Weighted Data Fusion Based on Biased Estimation. [PDF]

Sensors (Basel)
Qiu M, Liu B.
europepmc   +1 more source

Advancing image-based meta-analysis through systematic use of crowdsourced NeuroVault data. [PDF]

Sci Rep
Peraza JA, Kent JD, Blair RW, Poline JB, Nichols TE, de la Vega A, Laird AR.   +6 more
europepmc   +1 more source

MIXED MODELING APPROACH FOR CHARACTERIZING THE GENETIC EFFECTS IN A LONGITUDINAL PHENOTYPE. [PDF]

Ann Appl Stat
Zhang P, Albert PS, Hong HG.
europepmc   +1 more source

The Construction of the Uniformly Minimum Variance Unbiased Estimator

The Construction of the Uniformly Minimum Variance Unbiased Estimator
openaire  

On Minimum Variance Unbiased Estimators

The American Statistician, 1985
Abstract The problem of finding minimum variance unbiased estimators of various parameters for parametric distributions is an important one in statistics. This article gives analytical formulas for the minimum variance unbiased estimators of parametric functions, which are usually used in a classroom, for two types of densities.
K. X. Karakostas
  +4 more sources

Some Easily Found Minimum Variance Unbiased Estimators

The American Statistician, 1978
Abstract Several methods are available for finding minimum variance unbiased estimators for functions of distribution parameters. This paper concentrates on two which are rarely used but simple when applicable. The first, previously discussed by Davis (1951) and Tate (1959), yields estimators by differentiation when the range of nonzero probability for
William C. Guenther
openalex   +2 more sources

Corrections: On Minimum Variance Unbiased Estimators

The American Statistician, 1986

openalex   +2 more sources

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Uniform Minimum Variance Unbiased Estimators (UMVUEs)

2020
In questo capitolo vengono proposti esercizi sugli stimatori ottimi non distorti – Uniform Minimum Variance Unbiased Estimators (UMVUE) a partire da un modello di campionamento casuale parametrico , in particolare: definizione e proprieta degli UMVUE; metodi per la ricerca degli UMVUE; legame tra UMVUE e statistiche sufficienti minimali e complete ...
Francesca Gasperoni, Francesca Ieva, Anna Maria Paganoni   +2 more
openaire   +1 more source

Minimum Variance Unbiased Estimation in the Gamma Distribution

Communications in Statistics - Simulation and Computation, 1975
In this paper a new infinite series UMVU etimator far general functions of the scale parameter in the gamma distribution wita shape parameter known is presented. The formula gives is easy to employ,and also leads to simple approximations to the UMVU. These approximations are shown to perform well is the examples considered.
Woodward, W. A., Gray, H. L.
openaire   +2 more sources