AbstractWe study the extremes of a sequence of random variables (Rn) defined by the recurrence Rn=MnRn−1+q, n≥1, where R0 is arbitrary, (Mn) are iid copies of a non-degenerate random variable M, 0≤M≤1, and q>0 is a constant. We show that under mild and natural conditions on M the suitably normalized extremes of (Rn) converge in distribution to a double-exponential random variable. This partially complements a result of de Haan, Resnick, Rootzén, and de Vries who considered extremes of the sequence (Rn) under the assumption that P(M>1)>0
We investigate extreme value theory of a class of random sequences defined by the all-time suprema o...
We study the limit distribution of upper extreme values of i.i.d. exponential samples {e^(tX_i), i=1...
Let (Xn)n[epsilon] be a sequence of real, independent, not necessarily identically distributed rando...
AbstractWe study the extremes of a sequence of random variables (Rn) defined by the recurrence Rn=Mn...
Abstract Let { X n , n ≥ 1 } $\{X_{n},n\geq1\}$ be an independent and identically distributed random...
In this thesis, we introduce asymptotic distribution and statistical theories of extreme values (max...
Let $\{X_n, n\geq1\}$ be a sequence of independent and identically distributed random variables with...
Abstract: This paper deals with the limiting distribution of the maximum, under linear normalization...
AbstractLet {Zn} be an iid sequence of random variables with common distribution F which belongs to ...
In the article the outline of asymptotic theory of extreme values has been intro-duced for the appli...
the date of receipt and acceptance should be inserted later Abstract It is well known that under lin...
AbstractLet {Xi, i⩾0} be a sequence of independent identically distributed random variables with fin...
Any exponential rate of convergence can be obtained for maxima of i.i.d. random variables, while fas...
We investigate extreme value theory of a class of random sequences defined by the all-time suprema o...
AbstractLet Xn1*,…,Xnn* be independent random variables with the common negative binomial distributi...
We investigate extreme value theory of a class of random sequences defined by the all-time suprema o...
We study the limit distribution of upper extreme values of i.i.d. exponential samples {e^(tX_i), i=1...
Let (Xn)n[epsilon] be a sequence of real, independent, not necessarily identically distributed rando...
AbstractWe study the extremes of a sequence of random variables (Rn) defined by the recurrence Rn=Mn...
Abstract Let { X n , n ≥ 1 } $\{X_{n},n\geq1\}$ be an independent and identically distributed random...
In this thesis, we introduce asymptotic distribution and statistical theories of extreme values (max...
Let $\{X_n, n\geq1\}$ be a sequence of independent and identically distributed random variables with...
Abstract: This paper deals with the limiting distribution of the maximum, under linear normalization...
AbstractLet {Zn} be an iid sequence of random variables with common distribution F which belongs to ...
In the article the outline of asymptotic theory of extreme values has been intro-duced for the appli...
the date of receipt and acceptance should be inserted later Abstract It is well known that under lin...
AbstractLet {Xi, i⩾0} be a sequence of independent identically distributed random variables with fin...
Any exponential rate of convergence can be obtained for maxima of i.i.d. random variables, while fas...
We investigate extreme value theory of a class of random sequences defined by the all-time suprema o...
AbstractLet Xn1*,…,Xnn* be independent random variables with the common negative binomial distributi...
We investigate extreme value theory of a class of random sequences defined by the all-time suprema o...
We study the limit distribution of upper extreme values of i.i.d. exponential samples {e^(tX_i), i=1...
Let (Xn)n[epsilon] be a sequence of real, independent, not necessarily identically distributed rando...