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Covariance inflation in the ensemble Kalman filter: a residual nudging perspective and some implications
Covariance inflation ensemble Kalman filter residual nudging perspective some implications
2013/6/17
This note examines the influence of covariance inflation on the distance between the measured observation and the simulated (or predicted) observation with respect to the state estimate. In order for ...
Analytic Loss Distributional Approach Model for Operational Risk from the alpha-Stable Doubly Stochastic Compound Processes and Implications for Capital Allocation
Operational Risk Loss Distributional Approach Doubly stochastic Poisson Process -Stable Basel II Solvency II
2011/3/25
Under the Basel II standards, the Operational Risk (OpRisk) advanced measurement approach is not prescriptive regarding the class of statistical model utilised to undertake capital estimation. It has ...
Misinformation in the conjugate prior for the linear model with implications for free-knot spline modelling
Bayes factor BIC model selection nonparametric regression unit information prior
2009/9/21
Intheconjugate priorforthenormallinear model, theprior variancefor
the coecients is a multiple of the error variance parameter. However, if the prior
mean for the coecients is poorly chosen, the pos...
On Grade Transformation and its Implications for Copulas
Grade Transformation Implications Copulas
2009/9/17
On Grade Transformation and its Implications for Copulas。
New model helps explore patterns of urban sprawl and the implications for quality of life
New model statistics Population
2007/3/5