The HT estimators with random effects
Sensitivity of GLS estimators in random effects models
... In Table 1 below we only list names of the other estimators we consider and summarize their properties. Estimators of σ 2 ν and σ µ 2 can be found in [ 6 ], θ is estimated from (2.2) and β from (2.3) . It ...
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Paule Mandel estimators for network meta analysis with random inconsistency effects
... with random inconsistency effects have the dual aim of allowing for inconsistencies and estimating average treatment effects across the whole net- ...with random inconsistency ...
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Paule-Mandel estimators for network meta-analysis with random inconsistency effects
... with random inconsistency effects have the dual aim of allowing for inconsistencies and estimating average treatment effects across the whole net- ...with random inconsistency ...
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A comparison of heterogeneity variance estimators in simulated random-effects meta-analyses
... all random-effects methods fail in terms of all performance ...assumed effects to be normally distributed and although this is a limitation, it has been shown that most of the investigated methods ...
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THE EFFECT OF SOME ESTIMATORS OF BETWEEN-STUDY VARIANCE ON RANDOM-EFFECTS META-ANALYSIS
... Keywords: Meta-analysis; random-effects model; between-study variance; and coverage probability. INTRODUCTION Since the middle of 20th century, there has been considerable increase in the volume of ...
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ON THE ROBUSTNESS OF FIXED EFFECTS AND RELATED ESTIMATORS IN CORRELATED RANDOM COEFFICIENT PANEL DATA MODELS
... unobserved effects model, generalizing a simple example due to Hahn ...fixed effects estimator generally rules out aggregate time effects in index models, I also propose modified estimators ...
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FIXED EFFECTS AND RELATED ESTIMATORS FOR CORRELATED RANDOM COEFFICIENT AND TREATMENT EFFECT PANEL DATA MODELS
... fixed effects estimators have been derived assuming constant coefficients on the individual-specific, time-varying ...in random coefficient models, where the slope coefficients can vary with the ...
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State dependence in work related training participation among British employees: A comparison of different random effects probit estimators
... the random effects dynamic panel data model, under the probit assumption on the distribution of the ...(GMM) estimators of a dynamic linear probability model, namely the Arellano and Bond (1991) and ...
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Bias and Mean Square Error of Reliability Estimators under the One and Two Random Effects Models: The Effect of Non Normality
... way random effects models using the multivariate Taylor’s expansion have been obtained under the assumption of normality of the score (Atenafu et ...
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An efficient monte carlo study of two-step generalized least squares estimators for random-effects panel data models
... (GLS) estimators for the one−way error components models in small samples is ...GLS estimators provided by the programs LIMDEP, RATS and TSP, which mainly differ in the solution of negative variance ...
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On the performance of small-area estimators: fixed vs. random area parameters
... composite estimators derived from design- or model-based ...small-area estimators are usually based on random-effects models, the assumption of fixed effects is at face value more ...
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Random Group Variance Estimators for Survey Data with Random Hot Deck Imputation
... Variance Estimators for Survey Data with Random Hot Deck Imputation Jun Shao 1 and Qi Tang 2 Random hot deck imputation is often applied to survey data with ...the random group method, which ...
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Review of some ratio estimators in stratified random sampling
... stratified random sampling in literature, and variances belonging to these estimators are ...of estimators is explored by making paired comparisons of these ...than estimators developed by ...
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Leverage effects on Robust Regression Estimators
... Leverages, estimators, power of the test, coefficient of determination, root mean square error ...the effects of leverages, which are outliers in the space of the ...
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A Numerical Study of Entropy and Residual Entropy Estimators Based on Smooth Density Estimators for Non-negative Random Variables
... our estimators as ˆ H 12 = ˆ H P lugin−P ois and ˆ H 13 = ˆ H M eanlog−P ois ...spacing estimators is still an opening problem, for each spacing estimator, we compute the sample entropies for all values of ...
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Ratio-Type Estimators in Stratified Random Sampling using Auxiliary Attribute
... ratio-type estimators have been proposed in stratified random sampling using auxiliary ...proposed estimators have been derived up to first order of ...proposed estimators are more efficient ...
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Ratio Estimators in Simple Random Sampling Using Information on Auxiliary Attribute
... ratio estimators for estimating the population mean of the variable under study, which make use of information regarding the population proportion possessing certain attribute, are ...simple random sampling ...
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Separate Ratio-type Estimators of Population Mean in Stratified Random Sampling
... ratio-type estimators for population mean with their properties are ...ratio-type estimators for population mean using known parameters of auxiliary variate are ...proposed estimators are obtained up ...
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Effects of 5-HT-releasing agents on the extracellullar hippocampal 5-HT of rats. Implications for the development of novel
... therapeutic effects of serotonergic antidepressants, we suggest that MTA and MMAI might serve as leads for a novel family of compounds with a short onset of action useful for treating ...
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Effects of aggregation on estimators of long-range dependence
... both estimators, remains essentially unchanged in its most important feature as far as long-range dependence is concerned, that is the slope of the its logarithm as a function of the log ...
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