A quasi Poisson-Aradhana distribution

In this study, a QPAD (quasi Poisson-Aradhana distribution) by compounding a PD (Poisson distribution) with a QAD (quasi Aradhana distribution) is proposed that includes PAD (Poisson-Aradhana distribution) as a particular case. Expressions for its coefficient of variation, coefficient of skewness, coefficient of kurtosis, and index of dispersion are provided and their behaviours are studied for varying values of the parameters. The QPAD is shown to be unimodal and always over-dispersed. The estimation of its parameters using the method of maximum likelihood is discussed. Finally, the goodness of fit of the QPAD is assessed for two real count datasets from ecology and the fit is compared with that of the PD, PLD (Poisson-Lindley distribution), and PAD

Screening for exopolysaccharide production from basidiomycetes of chhattisgarh

Polysaccharides extracted from mushrooms have wide applications. Seven species of mushrooms  i.e. Grifola frondosa, Polyporus species 1, Polyporus species 2, Pleurotus sajorcaju, Pleurotus florida, Schizophyllum commune and Jelly species were collected and each species was tested for their polysaccharide producing ability. Among all seven species, Pleurotus sajorcaju produces maximum exopolysaccharide & minimum was produced by Pleurotus florida 1. Polysaccharide production was checked by incubating all seven species in shaking and static conditions. Although 28°C at 150 rpm for 7 and 14 days is the best condition  for exopolysaccharide production from mushroom species. Total biomass (dry weight and wet weight) was also recorded. Maximum biomass was found to be of Schizophyllum commune. Total free glucose produced was also determined and was found to be highest in Pleurotus florida. Natural polysaccharides can play a relevant role in biomedical and pharmaceutical applications, particularly in the field of drug delivery, for their intrinsic biocompatibility and potential low cost

A Generalized Poisson-Akash Distribution:Properties and Applications

A generalized Poisson- Akash distribution which includes Poisson-Akash distribution has been proposed. Its factorial moments, raw moments and central moments have been derived and studied. Some statistical properties including generating functions, hazard rate function and unimodality have been discussed. Method of moments and the method of maximum likelihood have been discussed for estimating parameters of the distribution. Applications of the proposed distribution have been explained through two count datasets and compared with other discrete distributions

A Two-Parameter Poisson-Akash Distribution with Properties and Applications

This paper proposes a two-parameter Poisson- Akash distribution which includes Poisson-Akash distribution as a special case. Its moments and moments based measures have been derived and studied. Statistical properties including hazard rate function, unimodality and generating functions have been discussed. Method of moments and the method of maximum likelihood have been discussed for estimating the parameters of the distribution. Finally, applications of the proposed distribution have been explained through two count datasets from biological sciences and compared with other discrete distributions