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The Concept of Sub-independence and Its Application in Statistics and Probabilities
Author(s) -
حسین G. Hamedani
Publication year - 2004
Publication title -
journal of statistical research of iran
Language(s) - English
Resource type - Journals
ISSN - 1735-1294
DOI - 10.18869/acadpub.jsri.1.1.13
Subject(s) - independence (probability theory) , mathematics , limit (mathematics) , characterization (materials science) , random variable , statistics , central limit theorem , probability and statistics , econometrics , convergence (economics) , mathematical statistics , convergence of random variables , probability distribution , mathematical economics , mathematical analysis , economics , physics , optics , economic growth
Many limit theorems convergence theorems and characterization theorems in probability and statistics in particular those related to normal distribution are based on the assumption of independence of two or more random variables However the full power of independence is not used in the proofs of these theorems since it is the distribution of summation of the random variables which is needed and not the joint distribution of those variables A concept is re introduced which is quite weak in comparison to independence and can replace the concept of independence in most of the above mentioned theorems Another relatively new concept will also be mentioned and some related results are discussed c Statistical Research Center All rights reserved

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