Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn to assess risk and potential gains.

In this paper, we consider a skew-generalized inverse Weibull probability distribution for repetitive acceptance sampling plans based on truncated life tests with known shape parameter. The design ...

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Abstract: With the preferable efficiency in storage and computation, hashing has shown potential application in large-scale multimedia retrieval. Compared with traditional hashing algorithms using ...

Objective: People often have their decisions influenced by rare outcomes, such as buying a lottery and believing they will win, or not buying a product because of a few negative reviews. Previous ...

Abstract: In classical learning methods, sampling is a process of acquiring training data, which can select the representative samples from the original data and offer a solution to some intractable ...

Sampling from probability distributions with known density functions (up to normalization) is a fundamental challenge across various scientific domains. From Bayesian uncertainty quantification to ...

PEPFAR’s computer systems also are being taken offline, a sign that the program may not return, as Republican critics had hoped. By Apoorva Mandavilli The Trump administration has instructed ...