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Auto-Havra Charvat entropic measures for stationary time series of categorical data
(2013-05)
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. One can alternatively think of using some ...
Some auto-power divergence measures for stationary time series of categorical data
(IIM-A Publication, 2013-05-05)
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 (2009) used mutual information ...
On estimation of number of species and biodiversity
(IIM-A publication, 2013-05-03)
Suppose S is the unknown number of species in a community, and the sample consists of m distinct species, fj species are represented j times in the sample, j = 1; 2; ... ; k. Let f0 be the number of missing species in the ...
Modelling and analysis of multivariate ordinal categorical data in longitudinal set up
(IIM-A publication, 2013-05-04)
In recent years, there has been a tremendous continuing attention to- wards the modelling and analysis of longitudinal data, although not much attention is paid to the ordinal categorical data. The problem becomes more ...