Linear location estimators: the dependence of their quality on the shape of the probability density function, and their robustness

Publisher： Cambridge University Press

E-ISSN： 1755-1633|22|2|319-319

ISSN： 0004-9727

Source： Bulletin of the Australian Mathematical Society, Vol.22, Iss.2, 1980-10, pp. : 319-319

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Related content

Robustness Comparisons of Some Classes of Location Parameter Estimators

By Collins J.R.  

Annals of the Institute of Statistical Mathematics, Vol. 52, Iss. 2, 2000-06 ,pp. : 351-366

Springer Publishing Company

Access to resources Recommend Favorite

Asymptotic Normality of Kernel Density Estimators under Dependence

By Lu Z.  

Annals of the Institute of Statistical Mathematics, Vol. 53, Iss. 3, 2001-01 ,pp. : 447-468

Springer Publishing Company

Access to resources Recommend Favorite

Best Attainable Rates of Convergence for Estimators of the Stable Tail Dependence Function

By Drees H.   Huang X.  

Journal of Multivariate Analysis, Vol. 64, Iss. 1, 1998-01 ,pp. : 25-47

Academic Press

Access to resources Recommend Favorite

Probability Density Function Estimation Using Gamma Kernels

By Chen S.X.  

Annals of the Institute of Statistical Mathematics, Vol. 52, Iss. 3, 2000-09 ,pp. : 471-480

Springer Publishing Company

Access to resources Recommend Favorite

Comparison of Spectral and Wavelet Estimators of Transfer Function for Linear Systems

By  

East Asian Journal on Applied Mathematics, Vol. 2, Iss. 3, 2012-08 ,pp. : 214-237

Cambridge University Press

Access to resources Recommend Favorite