Journal of the Iranian Statistical Society
http://jirss@irstat.ir
Journal of The Iranian Statistical Society - Journal articles for year 2006, Volume 5, Number 1Yektaweb Collection - https://yektaweb.comen2006/11/10A Test for Weibull IFR/DFR Alternatives Based on Type-2 with Replacement Censored Samples
http://jirss.irstat.ir/browse.php?a_id=132&sid=1&slc_lang=en
This article presents a test based on quadratic form using
Type-2 with replacement-censored sample for testing exponentiality
against weibull IFR/DFR alternative. The percentile points and powers
are simulated. The proposed test is compared with that of Bain
and Engelhardt (1986) test. An example based on Type-2 censoring
is also discussed.
K. MuralidharanBayesian Logistic Regression Model Choice via Laplace-Metropolis Algorithm
http://jirss.irstat.ir/browse.php?a_id=133&sid=1&slc_lang=en
Following a Bayesian statistical inference paradigm, we
provide an alternative methodology for analyzing a multivariate logistic
regression. We use a multivariate normal prior in the Bayesian
analysis. We present a unique Bayes estimator associated with a prior
which is admissible. The Bayes estimators of the coefficients of the
model are obtained via MCMC methods. The proposed procedure
is illustrated by analyzing a data set which has previously b"'en analyzed
by various authors. It is shown that our model is more precise
and computationally less taxing.
Farzad EskandariRelations between Renyi Distance and Fisher Information
http://jirss.irstat.ir/browse.php?a_id=134&sid=1&slc_lang=en
In this paper, we first show that Renyi distance between
any member of a parametric family and its perturbations, is proportional
to its Fisher information. We, then, prove some relations
between the Renyi distance of two distributions and the Fisher information
of their exponentially twisted family of densities. Finally, we
show that the partial ordering of families induced by Renyi distance
is the same as that induced by Fisher information.
M. AbbasnejadPotential Statistical Evidence in Experiments and Renyi Information
http://jirss.irstat.ir/browse.php?a_id=135&sid=1&slc_lang=en
Recently Habibi et al. (2006) defined a pre-experimental
criterion for the potential strength of evidence provided by an experiment,
based on Kullback-Leibler distance. In this paper, we investigate
the potential statistical evidence in an experiment in terms
of Renyi distance and compare the potential statistical evidence in
lower (upper) record values with that in the same number of iid observations
from the same parent distribution.
M. AbbasnejadAlmost Sure Convergence Rates for the Estimation of a Covariance Operator for Negatively Associated Samples
http://jirss.irstat.ir/browse.php?a_id=136&sid=1&slc_lang=en
Let {Xn, n >= 1} be a strictly stationary sequence of negatively
associated random variables, with common continuous and
bounded distribution function F. In this paper, we consider the estimation
of the two-dimensional distribution function of (X1,Xk+1)
based on histogram type estimators as well as the estimation of the
covariance function of the limit empirical process induced by the sequence
{Xn, n>= 1}. Then, we derive uniform strong convergence
rates for two-dimensional distribution function of (X1,Xk+1) without
any condition on the covariance structure of the variables. Finally,
assuming a convenient decrease rate of the covariances
Cov(X1,Xn+1), n >= 1,
we introduce uniform strong convergence rate for covariance function
of the limit empirical process.
H. JabbariRosenthalâ€™s Type Inequalities for Negatively Orthant Dependent Random Variables
http://jirss.irstat.ir/browse.php?a_id=137&sid=1&slc_lang=en
In this paper, we obtain some Rosenthalâ€™s type inequalities
for negatively orthant dependent (NOD) random variables.
N. Asadian