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ON SMALL SAMPLE PROPERTIES OF PERMUTATION TESTS: By

ON SMALL SAMPLE PROPERTIES OF PERMUTATION TESTS: By

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On Sensitivity of the MAP Bayesian Network Structure to the

On Sensitivity of the MAP Bayesian Network Structure to the

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On Sample Size Control in Sample Average Programs Johannes O. Royset

On Sample Size Control in Sample Average Programs Johannes O. Royset

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ON REGRESSION MODELS WITH AUTOCORRELATED ERROR: SMALL SAMPLE PROPERTIES Hisashi Tanizaki

ON REGRESSION MODELS WITH AUTOCORRELATED ERROR: SMALL SAMPLE PROPERTIES Hisashi Tanizaki

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On optimal threshold and structure in threshold system based detector

On optimal threshold and structure in threshold system based detector

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On Learning Multicategory Classification with Sample Queries Joel Ratsaby

On Learning Multicategory Classification with Sample Queries Joel Ratsaby

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on incentive compatible designs of forecasting contracts

on incentive compatible designs of forecasting contracts

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On Importance of Normality Assumption in Using a T

On Importance of Normality Assumption in Using a T

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On Estimation of the Exponentiated Pareto Distribution Under Different Sample Schemes

On Estimation of the Exponentiated Pareto Distribution Under Different Sample Schemes

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ON ESTIMATION OF A LOGNORMAL MEAN USING A RANKED SET SAMPLE By

ON ESTIMATION OF A LOGNORMAL MEAN USING A RANKED SET SAMPLE By

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ON ASYMPTOTICS OF EIGENVECTORS OF LARGE SAMPLE COVARIANCE MATRIX

ON ASYMPTOTICS OF EIGENVECTORS OF LARGE SAMPLE COVARIANCE MATRIX

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ON CONTROLLED SAMPLING SAMPLE SURVEYS

ON CONTROLLED SAMPLING SAMPLE SURVEYS

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Least Squares Quantization in PCM

Least Squares Quantization in PCM

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Learning stochastic timed automata from sample executions Andr´ e de Matos Pedro

Learning stochastic timed automata from sample executions Andr´ e de Matos Pedro

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Learning Conditional Latent Structures from Multiple Data Sources

Learning Conditional Latent Structures from Multiple Data Sources

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Learning Compositional Models for Object Categories From Small Sample Sets Jake Porway

Learning Compositional Models for Object Categories From Small Sample Sets Jake Porway

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Learnability and the Vapnik

Learnability and the Vapnik

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Learn More, Sample Less: Control of Volume and Variance in Network Measurement

Learn More, Sample Less: Control of Volume and Variance in Network Measurement

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Learing Guide

Learing Guide

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Law of Log Determinant of Sample Covariance Matrix and

Law of Log Determinant of Sample Covariance Matrix and

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Latent Variable Models for Stochastic Discount Factors

Latent Variable Models for Stochastic Discount Factors

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