On the functional relationship between entropy and variance with related applications

The functional relationship between entropy and variance is investigated for some well-known distributions. The distributions considered here are the reparameterized versions of the original forms. Such a reparameterization is necessary as in each case we have a common variance. The related graphs of entropy as a function of variance are used for certain comparisons. Further, within the class of distributions having a common variance, a measure of affinity between these distributions is proposed using entropy. A few aspects of the sampling distributions of an estimator of entropy, when the samples are either from the normal or from the exponential distributions, are discussed with a view to possible applications in the testing of hypotheses for related parameters     

Professionalization and Hybridization Dynamics of Social Enterprises

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations - Most of the extant studies on social enterprises have taken a static view of institutional complexity and assumed conflict...