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Evaluating standard error estimators for multilevel models on small samples with heteroscedasticity and unbalanced cluster sizes
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Disease risk estimation from case-control studies with sampling
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Parameter estimation in second-order stochastic differential equations
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Essays on the estimation and inference of heterogeneous treatment effects
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Interim analysis methods based on elapsed information time: strategies for information time estimation
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A comparison of methods for estimating survival probabilities in two stage phase III randomized clinical trials
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Robustness of rank-based and other robust estimators when comparing groups
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Applications of estimation and detection theory in decentralized networks
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Variance estimation in complex cohort problems
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Estimation of dynamic models
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Building energy performance estimation approach: facade visual information-driven benchmark performance model
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Covariance modeling and estimation for distributed parameter systems and their approximations
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Communication and estimation in noisy networks
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Population modeling and Bayesian estimation for the deconvolution of blood alcohol concentration from transdermal alcohol biosensor data
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Body pose estimation and gesture recognition for human-computer interaction system
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Comparison of variance estimators in case -cohort studies
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A fully discrete approach for estimating local volatility in a generalized Black-Scholes setting
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Two-dimensional approximation, model reduction and minimum variance error estimation
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Complexity scalable and robust motion estimation for video compression
Behabioral and neural evidence of state-like variance in intertemporal decisions
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Heterogeneity of variance and multiple comparison procedures
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Stochastic models: simulation and heavy traffic analysis
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Mutual information estimation and its applications to machine learning
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Error-rate and significance based error-rate (SBER) estimation via built-in self-test in support of error-tolerance
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Computational narrative models of character representations to estimate audience perception
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