Observation-Informed Generalized Hybrid Error Covariance Models

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Generalized Partially Linear Measurement Error Models

We consider generalized partially linear measurement error models when the linear covariate is measured with additive errors. Estimators of parameter and nonparametric function obtained by local liner regression with kernel weight, the SIMEX technique, and generalized estimating equation are proposed. The asymptotic normality of the estimate of the parameter and the asymptotics of the estimate ...

متن کامل

Bayesian covariance selection in generalized linear mixed models.

The generalized linear mixed model (GLMM), which extends the generalized linear model (GLM) to incorporate random effects characterizing heterogeneity among subjects, is widely used in analyzing correlated and longitudinal data. Although there is often interest in identifying the subset of predictors that have random effects, random effects selection can be challenging, particularly when outcom...

متن کامل

Forecast sensitivity to the observation error covariance in variational data assimilation

The development of the adjoint of the forecast model and of the adjoint of the data assimilation system (adjointDAS) make feasible the evaluation of the derivative-based forecast sensitivity to DAS input parameters in numerical weather prediction (NWP). The adjoint estimation of the forecast sensitivity to the observation error covariance in the DAS is considered as a practical approach to prov...

متن کامل

Identifiability of Dynamic Stochastic General Equilibrium Models with Covariance Restrictions

This article is concerned with identification problem of parameters of Dynamic Stochastic General Equilibrium Models with emphasis on structural constraints, so that the number of observable variables is equal to the number of exogenous variables. We derived a set of identifiability conditions and suggested a procedure for a thorough analysis of identification at each point in the parameters sp...

متن کامل

Small Area Modeling for Survey Data with Smoothed Error Covariance Structure via Generalized Design Effects

We consider the problem of specifying the design-based error covariance structure in small area modeling with survey data because of too many unknown design parameters. As a compromise, it is customary to treat the estimated covariance as known although undesirable because of its instability, i.e., relative variance of this estimate could be high, and as a result, it could cause serious underes...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Monthly Weather Review

سال: 2018

ISSN: 0027-0644,1520-0493

DOI: 10.1175/mwr-d-18-0016.1