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ON SMALL SAMPLE PROPERTIES OF PERMUTATION TESTS: By
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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
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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
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On Learning Multicategory Classification with Sample Queries Joel Ratsaby
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on incentive compatible designs of forecasting contracts
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On Importance of Normality Assumption in Using a T
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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
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ON ASYMPTOTICS OF EIGENVECTORS OF LARGE SAMPLE COVARIANCE MATRIX
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ON CONTROLLED SAMPLING SAMPLE SURVEYS
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Least Squares Quantization in PCM
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Learning stochastic timed automata from sample executions Andr´ e de Matos Pedro
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Learning Conditional Latent Structures from Multiple Data Sources
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Learning Compositional Models for Object Categories From Small Sample Sets Jake Porway
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Learnability and the Vapnik
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Learn More, Sample Less: Control of Volume and Variance in Network Measurement
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Learing Guide
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Law of Log Determinant of Sample Covariance Matrix and
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Latent Variable Models for Stochastic Discount Factors
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