On the Condition of Independence of Linear Forms with a Random Number of Summands von Kagan, Abram M., Klebanov, Lev B.

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Calibrating Dependence Between Random Elements von Kagan, Abram M., Székely, Gábor J.

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On the Structure of UMVUEs von Kagan, Abram M., Malinovsky, Yaakov

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On the Nile problem by Sir Ronald Fisher von Kagan, Abram M., Malinovsky, Yaakov

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A geometric property of the sample mean and residuals von Kagan, Abram M., Yu, Tinghui

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An analytic generalization of independence and identical distributiveness von Kagan, Abram M., Székely, Gábor J.

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The least favorable noise von Ernst, Philip A., Kagan, Abram M., Rogers, L.C.G.

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Monotonicity in the sample size of the length of classical confidence intervals von Kagan, Abram M., Malinovsky, Yaakov

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Strong Decomposition of Random Variables von Hoffmann-Jørgensen, Jørgen, Kagan, Abram M., Pitt, Loren D., Shepp, Lawrence A.

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Efficiency requires innovation von Kagan, Abram M

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The KLR-theorem revisited von Kagan, Abram M

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The least favorable noise von Ernst, Philip A, Kagan, Abram M, Rogers, L. C. G

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Statistical Meaning of Mean Functions von Kagan, Abram M, Smith, Paul J

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Calibrating dependence between random elements von Kagan, Abram M, Székely, Gabor J

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The KLR-theorem revisited von Kagan, Abram M

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Efficiency requires innovation von Kagan, Abram M

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Statistical Meaning of Mean Functions: A Novel Matrix Mean Derived from Fisher Information von Kagan, Abram M., Smith, Paul J.

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On the structure of UMVUEs von Kagan, Abram M, Malinovsky, Yaakov

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The least favorable noise von Ernst, Philip A, Kagan, Abram M, Rogers, L C G

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Statistical Meaning of Mean Functions von Kagan, Abram M, Smith, Paul J

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