Tail Behaviour of Distributions in the Domain of Partial

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roots of nbxx~aL(x). = 1 and nb.,x~aL(x) = 1. Then by the properties of regularly varying functions, one gets Bin = b^n1!2^) i = 1, 2, where I is s.v. at oo. Relation.
Indian Statistical Institute

Tail Behaviour of Distributions in the Domain of Partial Attraction and Some Related Iterated Logarithm Laws Author(s): G. Divanji and R. Vasudeva Source: Sankhyā: The Indian Journal of Statistics, Series A (1961-2002), Vol. 51, No. 2 (Jun., 1989), pp. 196-204 Published by: Springer on behalf of the Indian Statistical Institute Stable URL: http://www.jstor.org/stable/25050737 . Accessed: 08/08/2013 06:58 Your use of the JSTOR archive indicates your acceptance of the Terms & Conditions of Use, available at . http://www.jstor.org/page/info/about/policies/terms.jsp

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: The Sankhy? 1989, Volume

Indian Journal of Statistics Series A, Pt. 2, pp. 196-204.

51,

TAIL BEHAVIOUROF DISTRIBUTIONSINTHE DOMAIN OF PARTIAL ATTRACTION AND SOME RELATED ITERATED LOGARITHM LAWS and R. VASUDEVA

By G. DIVANJI*

SUMMARY. i.i.d.

random

iff there

attraction to

a non

the

an

exists

a distribution

be

common

the

with

variable.

of F

tail

and

(nj) such

iterated

obtain

1.

F

F.

Under

sum sequence of (Sn) be a partial is said to be in the domain of partial

let

and

function

distribution

sequence

integer

random

degenerate

characterize

F

Let

variables

India

of Mysore,

University

that

certain

(Sn,),

on

assumptions laws

logarithm

for

normalized,

properly

(Sn) and

converges

sequence (nj) we max !?&!).

the (

Introduction

distributed of independent (i.i.d.) (Xn) be a sequence identically a over common variables defined space (?Q,&, P) (r.v.) probability n 2 Xj, n > 1. Let F denote the distribution let Sn ? function (d.f.)

Let random and

i=i

of

(nj) be an integer

Let

of Xv

(B? ?? oo as

constants

and

subsequence

j -?

Setj ZM =

oo).i

cides with

the sequence of natural if (Zn) converges weakly,

numbers then

and (an )

be sequences (Bn ) . When

B~1SM n. ?aM

nj

nj

and

let

x(nA J'

coin

nj

nj

selection of (n), for proper it is wellknown that the limit

(an) law

(Bn), is stable (or possibly For some subsequence (nj) and for proper degenerate). the limit law is if then selection of (a ) and (Zn 1 ) converges weakly, (B%3 ), j and Kolmo law (see, ex. Gnedenko to be an infinitely known divisible (i) nj < (1972) considered sequences (nj) satisfying Kruglov = the class It r( > 1), and characterized J 5* 15 and (ii) lim or Uj+1jnj

gorov

(1954)).

nj+i> of

j?

all

found

infinitely that

the

be

noted

It may

if

particular, Research C.S.I.R.S.R. AMS Key varying

members that

lim nj+Juj supported

have

of U

the

by

class =

of

all

1, Kruglov

University

are

which

distributions

divisible

of

many stable

laws of

(Zn ).

He

of stable laws. properties laws is included in ??. In

(1972) Mysore

limit

established Junior

Research

that

(i)

Fellowship

the and

Fellowship. subject

(1980) words

and

phrases

classification: : Domain

Primary of partial

60F15, attraction,

Secondary Iterated

60E99. logarithm

functions.

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laws,

Slowly

197

ITERATED LOGARITHM LAWS limit

is a stable (Zn )

law of

law and

(ii) the

sequence

norma

(Zn), properly

to the same stable law. the sub converge Consequently, our are of under interest those sequences Kruglov's setup subsequences (uj) 1. Here Km Uj+1fnj = r, r > with limit has characterized the Kruglov itself

will

lized,

G as either

distribution the

characteristic

normal

or as an

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