COMPARISON OF RELATEDNESS ESTIMATORS

a simulation comparison of Ridge regression estimators with Lars

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Comparison of imputation variance estimators

Appropriate imputation inference requires both an unbiased imputation estimator and an unbiased variance estimator. The commonly used variance estimator, proposed by Rubin, can be biased when the imputation and analysis models are misspecified and/or incompatible. Robins and Wang proposed an alternative approach, which allows for such misspecification and incompatibility, but it is considerably...

Comparison of Optimal Location Estimators

A Comparison of Estimators for 1=f Noise a Comparison of Estimators for 1=f Noise

We use a Monte-Carlo approach to investigate the performance of ve diierent time-series estimators of the exponent in 1=f noise. We nd that a maximum-likelihood estimator is markedly superior to Fourier regression methods and Hurst exponent methods. The results indicate that useful estimates of can be made from time series that are much shorter than generally presumed.

A Comparison of Simple Galaxy Mass Estimators

Owing to their complex stellar dynamics, determining the mass profiles and mass-to-light ratios of elliptical galaxies is difficult. Now, however, kinematic data, once limited to less than an effective radius, are available out to several Reff and may include higher-order moments of the velocity profile (e.g. Carollo et al. 1995, Sembach & Tonry 1996). Because mean rotational velocities and vel...