Volume
9, No.
1,
March 2016
Articles 


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. 

Tanveer A. Tarray
Housila P. Singh
JJMS, 2016, 9(1),115

Boundedness of Commutators on Herztype Hardy Spaces with Variable Exponent
In this paper, we obtain the boundedness of some commutators generated by the CalderónZygmund singular integral operator, the LittlewoodPaley operator and BMO functions on Herztype Hardy spaces with variable exponent. 

Wang Hongbin
JJMS, 2016, 9(1),1730

Characterization of the Gelfandshilov Spaces of Beurling Type and its Dual Via Shorttime Fourier Transform We characterize the space GelfandShilov spaces ∑^{β}_{α}of test functions of tempered ultradistribution, in terms of their shorttime Fourier transform using its symmetric characterization via the Fourier transform. Using Riesz representation theorem, we prove structure theorem for functionals in dual space (∑^{β}_{α})'.


Mohd
M.Yasein
Hamed M.
Obiedat
JJMS,
2016,
9(1),
3143

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.


R. Ponraj
S. Sathish
Narayanan
JJMS,
2016, 9(1),4564

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
continuoustime
WSS
random
process
and
autocorrelation
function
of a
continuoustime
WSS
random
process,
using a
form of
the
CauchyBunyakovskySchwarz
inequality.
Our new
inequalities
obey the
general
form
()


Piyush K.
Bhandari
S. K. Bissu
JJMS,
2016, 9(1),6572

