Statistical Methods with Applications to Demography and Life Insurance von Khmaladze, Estate V

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Distribution-free testing in linear and parametric regression von Khmaladze, Estate V.

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How to test that a given process is an Ornstein–Uhlenbeck process von Khmaladze, Estate V.

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GOODNESS-OF-FIT PROBLEM FOR ERRORS IN NONPARAMETRIC REGRESSION: DISTRIBUTION FREE APPROACH von Khmaladze, Estate V., Koul, Hira L.

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ASYMPTOTICALLY DISTRIBUTION-FREE GOODNESS-OF-FIT TESTING FOR TAIL COPULAS von Can, Sami Umut, Einmahl, John H. J., Khmaladze, Estate V., Laeven, Roger J. A.

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Martingale Transforms Goodness-of-Fit Tests in Regression Models von Khmaladze, Estate V., Koul, Hira L.

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Testing hypothesis on transition distributions of a Markov sequence von Khmaladze, Estate V.

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Convergence Properties in Certain Occupancy Problems Including the Karlin-Rouault Law von Khmaladze, Estáte V.

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Memoryless Reigns of the "Sons of Heaven" von Khmaladze, Estate V., Brownrigg, Ray, Haywood, John

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Central limit theorems for local empirical processes near boundaries of sets von EINMAHL, JOHN H.J., KHMALADZE, ESTÁTE V.

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Asymptotic hypotheses testing for the colour blind problem von Dumitrescu, Laura, Khmaladze, Estate V.

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On the evolution of set-valued functions: An example von Khmaladze, Estáte V.

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Differentiation of sets in measure von Khmaladze, Estáte V.

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Some new connections between Brownian bridges and Brownian motions von Khmaladze, Estate V

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A Conversation with Estate V. Khmaladze von Khmaladze, Estate V., Koul, Hira L., Koenker, Roger

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When Pearson $\chi^2$ and other divisible statistics are not goodness-of-fit tests von Algeri, Sara, Khmaladze, Estate V

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Differentiation of sets in measure von KHMALADZE, Estate V

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Distribution free testing for linear regression. Extension to general parametric regression von Khmaladze, Estate V

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When Pearson \(\chi^2\) and other divisible statistics are not goodness-of-fit tests von Algeri, Sara, Khmaladze, Estate V

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Lecture 10: Kaplan–Meier estimator (product-limit estimator) for F von Khmaladze, Estate V.

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