Results 71 to 80 of about 177,430,963 (194)
Gamma Kernel Estimators for Density and Hazard Rate of Right-Censored Data
The nonparametric estimation for the density and hazard rate functions for right-censored data using the kernel smoothing techniques is considered. The “classical” fixed symmetric kernel type estimator of these functions performs well in the interior ...
T. Bouezmarni, A. El Ghouch, M. Mesfioui
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A law of the iterated logarithm for general lacunary series [PDF]
Doctor of PhilosophyDepartment of MathematicsCharles N ...
Zhang, Xiaojing
core
Law of the iterated logarithm for empirical cumulative quantile regression functions [PDF]
Under some mild conditions we establish Strassen's law of the iterated logarithm for the empirical cumulative quantile regression ...
Rao, C. R., Zhao, L. C.
core
Number theory, borderline dimension and extensive entropy in distributions of ranked data. [PDF]
Velarde C, Robledo A.
europepmc +1 more source
The Law of the Iterated Logarithm for U-Processes
Sufficient conditions for the law of the iterated logarithm for non-degenerate U-processes are presented. The law of the iterated logarithm for V-C subgraph classes of functions is obtained under second moment of the envelope.
Arcones, M. A.
core
Functional iterated logarithm law for a Wiener process
The functional iterated logarithm law for a Wiener process in the Bulinskii form for great and small times is ...
Makhno, S.Ya., Budkov, D.S.
core
One moment estimate for the supremum of normalized sums in the law of the iterated logarithm
Для послідовності незалежних випадкових елементів банахового простору знайдено оцінку зверху моментів супремуму нормованих сум у законі повторного логарифма через оцінку моментів у законі великих чисел.
Мацак, І.К., Плічко, А.М.
core
Multivariate spatial conditional U-quantiles: a Bahadur–Kiefer representation
Quantiles constitute a core concept in probability theory and theoretical statistics, providing an indispensable instrument in a wide array of applications.
Salim Bouzebda, Nourelhouda Taachouche
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On the Law of the Iterated Logarithm [PDF]
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The Law of the Iterated Logarithm for Empirical Distribution
A law of the iterated logarithm is derived for the empirical distribution functions of a sequence of independent identically distributed random variables. Convergence is in the uniform topology on the space of functions on the reals with discontinuities of the first kind only.
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