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Volume
9, No.
1,
March 2016
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Articles |
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New Scrambling Randomized Response Models In this article, a new randomized response model has been proposed. It is shown that Gupta and Thorntons (2002) and Hussains (2012) randomized response models are particular member of the proposed model. The proposed model is found to be more efficient than the randomized response models studied by Gupta and Thornton (2002) and Hussain (2012) under a realistic condition. The relative efficiency of the proposed model has been studied with respect to the Gupta and Thorntons (2002) and Hussains (2012) models. Numerical illustrations are also given in support of the present study. |
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Tanveer A. Tarray
Housila P. Singh
JJMS, 2016, 9(1),1-15
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Boundedness of Commutators on Herz-type Hardy Spaces with Variable Exponent
In this paper, we obtain the boundedness of some commutators generated by the Calderón-Zygmund singular integral operator, the Littlewood-Paley operator and BMO functions on Herz-type Hardy spaces with variable exponent. |
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Wang Hongbin
JJMS, 2016, 9(1),17-30
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Characterization of the Gelfand-shilov Spaces of Beurling Type and its Dual Via Short-time Fourier Transform We characterize the space Gelfand-Shilov spaces ∑βαof test functions of tempered ultradistribution, in terms of their short-time Fourier transform using its symmetric characterization via the Fourier transform. Using Riesz representation theorem, we prove structure theorem for functionals in dual space (∑βα)'.
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Mohd
M.Yasein
Hamed M.
Obiedat
JJMS,
2016,
9(1),
31-43
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Radio Mean Number of Some Subdivision Graphs
A Radio Mean labeling of a connected graph G is a one to one map f from the vertex set V (G) to the set of natural numbers N such that for each distinct vertices u and v of G, d (u, v) + |(f(u) + f(v)) / 2 | ≥ 1 + diam (G). The radio mean number of f, rmn(f), is the maximum number assigned to any vertex of G.The radio mean number of G, rmn(G) is the minimum value of rmn(f) taken over all radio mean labeling f of G. In this paper we find the radio mean number of subdivision of a star, wheel, bistar.
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R. Ponraj
S. Sathish
Narayanan
JJMS,
2016, 9(1),45-64
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An
Inequality
for Some
Functions
of
Continuous
Random
Variables
We
establish
new
inequalities
for
moment
generating
function
of a
continuous
random
variable;
characteristic
function
of a
continuous
random
variable,
power
spectral
density
(or
power
spectrum)
of a
continuous-time
WSS
random
process
and
autocorrelation
function
of a
continuous-time
WSS
random
process,
using a
form of
the
Cauchy-Bunyakovsky-Schwarz
inequality.
Our new
inequalities
obey the
general
form
( )
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Piyush K.
Bhandari
S. K. Bissu
JJMS,
2016, 9(1),65-72
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