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A mutual information-based K-sample test for discrete distribution
(Journal of Applied Statistics, 2014)
The two-sample problem and its extension to the k-sample problem are well known in the statistical literature. However, the discrete version of the k-sample problem is relatively less explored. Here in this work we suggest ...
Auto-association measures for stationary time series of categorical data
(TEST, 2014)
For stationary time series of nominal categorical data or ordinal categorical data (with arbitrary ordered numberings of the categories), autocorrelation does not make much sense. Biswas and Guha (J Stat Plan Infer ...
Some analysis of the interaction among local field potentials and neuronal discharges in a mouse using mutual information
(Journal of the Indian Society of Agricultural Statistics, 2014)
Constructing models for neuroscience data is a challenging task, more so when the data sets are of hybrid nature, and there exists very little work. As a first step, here we introduce a technique based on mutual information ...
Modelling and coherent forecasting of zero-inflated count time series
(SAGE Publications, 2014)
In this article, a new kind of stationary zero-inflated Pegram’s operator based integer-valued time series process of order p with Poisson marginal or ZIPPAR(p) process is constructed for modelling count time series ...
Modelling and coherent forecasting of zero-inflated count time series
(Statistical Modelling: An International Journal, 2014)
In this article, a new kind of stationary zero-inflated Pegram’s operator based integervalued
time series process of order p with Poisson marginal or ZIPPAR(p) process is constructed for
modelling count time series ...
Meta-analysis of test accuracy studies with multiple and missing thresholds: a multivariate-normal model
(Journal of Biometrics and Biostatistics, 2014-01)
When meta-analysing studies examining the diagnostic/predictive accuracy of classifications based on a continuous test, each study may provide results for one or more thresholds, which can vary across studies. Researchers ...
A two sample test based on mutual information
(Calcutta Statistical Association Bulletin, 2014-06)
For two independently drawn samples from continuous
distributions, a permutation test based on the mutual information statistic is proposed for the null hypothesis that both the samples originate
from the same population. ...