A central limit theorem for fuzzy random variables
β Scribed by Steven B. Boswell; Malcolm S. Taylor
- Publisher
- Elsevier Science
- Year
- 1987
- Tongue
- English
- Weight
- 724 KB
- Volume
- 24
- Category
- Article
- ISSN
- 0165-0114
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
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
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 β.
## Abstract The paper provides some central limit theorems for triangular arrays of Markovβconnected random variables. It is assumed the Markov chain to satisfy condition (__D__~1~) which is an generalization of strong Doeblin's condition (__D~o~__). One result represents a central limit theorem wi