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Complete moment convergence for randomly weighted sums of negatively superadditive dependent random variables.

• Authors : Lu, Chao (AUTHOR); Qi, Jibing (AUTHOR); Wang, Rui (AUTHOR)

Subjects: RANDOM variables; DEPENDENT variables

• Source: Communications in Statistics: Simulation & Computation. 2024, Vol. 53 Issue 6, p2966-2975. 10p.

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Some strong convergence properties for randomly weighted maximum partial sums of END random variables with statistical applications.

• Authors : Wang, Minghui (AUTHOR); Wang, Xuejun (AUTHOR); Zhang, Fei (AUTHOR)

Subjects: RANDOM variables; REGRESSION analysis

• Source: Journal of Statistical Computation & Simulation. Jun2024, Vol. 94 Issue 9, p1898-1941. 44p.

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Applied Science & Technology Full Text (H.W. Wilson)

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Applied Science & Technology Full Text (H.W. Wilson)

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Applied Science & Technology Full Text (H.W. Wilson)

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Applied Science & Technology Full Text (H.W. Wilson)

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Applied Science & Technology Full Text (H.W. Wilson)

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Applied Science & Technology Full Text (H.W. Wilson)

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An example showing that the sum of two normal random variables may not be normal.

• Authors : Fujita, Takahiko; Yoshida, Naohiro

Subjects: RANDOM variables; GENERATING functions; GAUSSIAN distribution

• Source: International Journal of Mathematical Education in Science & Technology. Jul2024, Vol. 55 Issue 7, p1753-1757. 5p.

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Applied Science & Technology Full Text (H.W. Wilson)

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