This paper deals with the analysis of words from the text of an Indian author. The text of book is analysed and a frequency of noun words is formed. A suitable statistical model, Sichel distribution is fitted to the data and the fitting is found adequate. We have obtained maximum likelihood (ML) estimators and thereafter using flat prior posterior distribution is obtained. Using Metropolis algorithm we draw the posterior samples from which inference are drawn. In the discussion a European text is also compared and we have found that there is richness in Indian literature.