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분야 : 자연과학 > 통계학
발행기관 : 한국통계학회
간행물정보 : CSAM(Communications for Statistical Applications and Methods), 2012 pp.~7 (총 8pages)
 
 
영문초록
We discuss the strong convergence for weighted sums of linearly negative quadrant dependent (LNQD) random variables under suitable conditions and the central limit theorem for weighted sums of an LNQD case is also considered. In addition, we derive some corollaries in LNQD setting.
 
 
Complete convergence, almost sure convergence, arrays, negative associated random variables, linearly negative quadrant random variables
 
다운로드 02706149.pdf