We consider probabilistic models of N identical distinguishable, binary random variables. If these variables are strictly or asymptotically independent, then, for N-N, (i) the attractor in distribution space is, according to the standard central limit theorem, a Gaussian, and (ii) the Boltzmann-Gibb
โฆ LIBER โฆ
Occupancy of phase space, extensivity of , and -generalized central limit theorem
โ Scribed by Constantino Tsallis
- Publisher
- Elsevier Science
- Year
- 2006
- Tongue
- English
- Weight
- 538 KB
- Volume
- 365
- Category
- Article
- ISSN
- 0378-4371
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
Influence of global correlations on cent
โ
John A. Marsh; Miguel A. Fuentes; Luis G. Moyano; Constantino Tsallis
๐
Article
๐
2006
๐
Elsevier Science
๐
English
โ 605 KB
On the convergence of generalized moment
โ
Ildar Ibragimov; Mikhail Lifshits
๐
Article
๐
1998
๐
Elsevier Science
๐
English
โ 338 KB
Let {~k} be the normalized sums corresponding to a sequence of i.i.d, variables with zero mean and unit variance. Define random measures n k=l and let G be the normal distribution. We show that for each continuous function h satisfying f h dG<~ and a mild regularity assumption, one has limfhdO,=fhdG
The central limit theorem on spaces of p
โ
Donald St.P Richards
๐
Article
๐
1989
๐
Elsevier Science
๐
English
โ 292 KB
On Strong Versions of the Central Limit
โ
Peter Schatte
๐
Article
๐
1988
๐
John Wiley and Sons
๐
English
โ 305 KB
๐ 1 views
On the rate of convergence in the centra
โ
WanSoo Rhee
๐
Article
๐
1984
๐
Elsevier Science
๐
English
โ 224 KB
Asymptotics of special functions and the
โ
Audrey Terras
๐
Article
๐
1987
๐
Elsevier Science
๐
English
โ 965 KB