Fuzzy statistics and random variables represent a progressive fusion of traditional probability theory with the principles of fuzzy logic, enabling the treatment of imprecision and vagueness inherent ...
Extropy has emerged as a pivotal measure in the quantification of uncertainty, serving as a complementary counterpart to the traditional concept of entropy. Unlike entropy, which is widely used to ...
Journal of Applied Probability, Vol. 13, No. 2 (Jun., 1976), pp. 361-364 (4 pages) We give an expression for the expectation of max (0, S1, ⋯, Sn) where Sk is the kth partial sum of a finite sequence ...
CATALOG DESCRIPTION: Fundamentals of random variables; mean-squared estimation; limit theorems and convergence; definition of random processes; autocorrelation and stationarity; Gaussian and Poisson ...
Yang, Mochen, Edward McFowland III, Gordon Burtch, and Gediminas Adomavicius. "Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach ...
Sankhyā: The Indian Journal of Statistics, Series A (1961-2002), Vol. 60, No. 2 (Jun., 1998), pp. 171-175 (5 pages) ...
Probability Distribution Notes: Probability is a fundamental aspect of mathematics that helps us understand and quantify uncertainty. Mastery of this subject is essential for students, as it has ...
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