" says Genton. "We showed through our simulation study that when spatial data are non-Gaussian, the Gaussian likelihood estimator of covariance parameters still performs better than an alternative weighted least-squares estimator for data that are not heavily skewed."...
Good–Turing estimatorSmoothing techniqueTwo parameter Poisson-Dirichlet priorThe problem of estimating discovery probabilities originated in the context of statistical ecology, and in recent years it has become popular due to its frequent appearance in challenging applications arising in genetics, ...
and at the end when approaching the reward, while during the middle phase of the task, as the mice were crossing the runway, DLS neurons were mostly silent [13]. This pattern of “task-bracketing” activity of the MSNs is coordinated by fast-spiking interneurons and was not observed in th...
Some remarks on a ridge-type-estimator and good prior means. Communications in Statistics - Theory and Methods 17 (12), 4251-4256.Trenkler,G.Some remarks on a ridge-type estimator and good prior means. Communications in Statistics-Theory and Method . 1988...
Then, by decomposing the mean squared error of a ridge estimator into components parallel to and orthogonal to the unknown true regression coefficient vector, new insight is gained about definitions for optimal factors. Estimators of certain unknown quantities are displayed which are maximum likelihood ...
“corrected” quantile estimator can be used to estimate the quantile probability of the deterministic frontier, given a distributional assumption. We examine the quantile estimator in the benchmark case of independence between the regressors and the error term, but also when “predictors of ...
Communications in Statistics - Theory and MethodsA ridge-type estimator and good prior means - Pliskin - 1987Pliskin, J. L. (1987). A ridge type estimator and good prior means. Commun. Statist. Theor. Meth. 12:3429-3437.PLISKIN,J.L. A Ridge-type Estimator and Good Prior Means[J]....
Mann, "A good simple percentile estimator of the Weibull shape parameter for use when all three parameters are unknown", Naval Research Logistics Quaterly, Vol. 29, n. 3, pp. 419-428, September 1982.Zanakis, S.H., Mann, N.R.: A good simple percentile estimator of the Weibull shape ...
AHabitis a rapidly activated specific response in a specific context, which has been repeatedly performed previously, it is in itself inflexible and shows some resistance to change (in context, outcome, motivation). The term “habits” is used on different levels of description, ranging from self...
(Liu et al.,2021; Wooldridge,2010) and apply the Heckman-2SLS approach to mitigate both types of endogeneity concerns. The Heckman-2SLS approach combines the Heckman selection model with a 2SLS estimator that can solve the sample selection bias in the selection model, while simultaneously ...