[PDF] Top 20 Inference Based on Empirical Likelihood for Varying Coefficient Model with Random Effect
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Inference Based on Empirical Likelihood for Varying Coefficient Model with Random Effect
... the random effect frame- ...the random effect, the random effect is approved at 5% level of significance with p-value ... See full document
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Likelihood-based random-effects meta-analysis with few studies: empirical and simulation studies
... are based on a normal approximation, or on adjustments based on the ...mixed model and two generalized linear mixed models (GLMMs) assuming binomial or Poisson distributed numbers of events per study ... See full document
14
Two-step semiparametric empirical likelihood inference
... semiparametric model in each bootstrap iteration, and thus are computa- tionally very ...the effect of the first-step estimation is ...single-index model, this approach has the additional advantage ... See full document
35
Robust Inference for Time Varying Coefficient Models with Longitudinal Data
... Time-varying coefficient models are useful in longitudinal data ...the coefficient functions, based on the least squares ...the coefficient functions and develop a robustified ... See full document
12
Estimation and inference in mixed fixed and random coefficient panel data models
... the empirical best linear unbiased ...the empirical Bayesian estimator described in Hsiao, Pesaran and Tahmiscioglu ...make inference on the random effects distri- bution while having little ... See full document
55
Statistical inference for the new INAR(2) models with random coefficient
... statistical inference for the INAR(p) model with random coefficient, Zhang et ...using empirical likelihood method, Zhang and Wang [8] obtain some inference for random ... See full document
15
Empirical likelihood inference of parameters in nonlinear EV models with censored data
... a random statistical error. In this model, X is an explanatory variable which cannot be observed directly, and X is the observable substi- tute variable of X, where e is a measurement error, φ(·) is an ... See full document
16
Statistical inference for first order random coefficient integer valued autoregressive processes
... above model to a pth-order ...the model parameters. By employing the cumulative sum (CUSUM) test based on the conditional least-squares and modified quasi-likelihood es- timators, Kang and Lee ... See full document
12
Imputed Empirical Likelihood for Varying Coefficient Models with Missing Covariates
... imputed empirical likelihood procedure is proposed to study model (1) under missing ...proposed empirical log-likelihood ratio function is shown to be standard ...the effect of ... See full document
5
Local Empirical Likelihood Diagnosis of Varying Coefficient Density Ratio Models Based on Case Control Data
... Varying coefficient models are often used as extensions of classical linear models ...the coefficient func- tions has been extensively discussed in the literatures, including the smoothing spline ... See full document
7
Empirical likelihood based inference in Poisson autoregressive model with conditional moment restrictions
... to model the number of cases of campy- lobacterosis infections from January to the end of October in the north of the Province of Québec, Ferland et ... See full document
13
Composite Quantile Generalized Quasi Likelihood Ratio Tests for Varying Coefficient Regression Models
... the varying coe ffi cient regression ...constructed based on the comparison of the composite quantile quasi-likelihood functions under null and alternative ... See full document
5
Efficiency of health systems in sub Sahara Africa: a comparative analysis of time varying stochastic frontier models
... The primary motive of producers is to maximize their output levels subject to available inputs. However, this objective is not always achieved and in most cases, producers operate below their optimal capacity, given the ... See full document
27
Statistical Topics in Disease Gene Mapping
... 103 mutation, six linked loci with 10 SNPs in each locus are simulated with equal possible recombination occurring between loci and no recombination within the locus. One out of 10 SNPs in each locus is selected if its ... See full document
142
Bayesian inference in the time varying cointegration model
... Γιϖεν τηατ ουρ δεσιρε ισ το …νδ α στατε εθυατιον ωηιχη αλλοωσ φορ χονσταντ γραδυαλ εϖολυτιον ιν τηε χοιντεγρατινγ σπαχε ωε αχχορδινγλψ φοχυσ ον ϖαλυεσ οφ ωηιχη αρε νεαρ το ονε.2 2.4 Αν Ι[r] ... See full document
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Estimation for random coefficient integer valued autoregressive model under random environment
... Bernoulli random variable is used in the INAR models based on the binomial thinning ...autoregressive model with geometric ...models based on negative binomial thinning oper- ator have ... See full document
16
A Preliminary Investigation into the Mediating Role of Positive Affect in the Development of Posttraumatic Stress Disorder among African American Female Sexual Assault Survivors
... time model (Zhao, 2011), and continuous scale diagnostic tests in the presence of verification bias (Wang and Qin, 2013), to name only a ...of empirical likelihood, general estimating equations, and ... See full document
43
Credit Risk and Lottery type Stocks: Evidence from Taiwan
... regression coefficient of Δ(DLI), is no longer significant in the lottery-type stocks, but are still negative significant in non lottery-type and others ...risk effect would not give significant impact on ... See full document
7
Inference for the Normal Mean with Known Coefficient of Variation
... estimate based on the modified signed log likelihood ratio statistic is, in general, the second most efficient estimator among the estimators discussed in this paper, and the cor- responding interval ... See full document
7
High Dimensional Generalized Empirical Likelihood for Moment Restrictions with Dependent Data
... The authors are grateful to the co-editor Jianqing Fan, an Associate Editor, two anonymous referees and Qiwei Yao for constructive comments and suggestions. This work is based on part of Jinyuan Chang’s PhD thesis ... See full document
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