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A central limit theorem for self-normalized products of random variables

✍ Scribed by M.P Quine


Publisher
Elsevier Science
Year
1999
Tongue
English
Weight
100 KB
Volume
43
Category
Article
ISSN
0167-7152

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✦ Synopsis


We give conditions under which the self-normalized product

of independent and identically distributed (i.i.d) random variables X1; X2; : : :, where * denotes the sum over all n-1-long sequences of integers 16i1Β‘i2Β‘ β€’ β€’ β€’ Β‘in-16n, is asymptotically normally distributed as n β†’ ∞.


πŸ“œ SIMILAR VOLUMES


A Functional Central Limit Theorem for P
✍ T. Birkel πŸ“‚ Article πŸ“… 1993 πŸ› Elsevier Science 🌐 English βš– 196 KB

In this note we prove a functional central limit theorem for LPQD processes, satisfying some assumptions on the covariances and the moment condition \(\sup \_{j \geqslant 1} E\left|X\_{1}\right|^{2+}0\). ' 1943 Academic Press. Inc