Bøker utgitt av now publishers Inc

Investigates two sets of assumptions about the nature of opportunities, the nature of entrepreneurs, and the nature of the decision making context within which entrepreneurs operate. This book suggests that these two sets of assumptions constitute logically consistent theories of entrepreneurship.

Explores the applications of information theory concepts in statistics, in the finite alphabet setting. The topics covered include large deviations, hypothesis testing, maximum likelihood estimation in exponential families, analysis of contingency tables, and iterative algorithms with an "information geometry" background.

Offers an introductory, non-technical overview of what economics adds to our understanding of entrepreneurship. The author identifies issues that can be resolved using economic analysis, and presents the theoretical and empirical models that form the intellectual foundations of the economics of entrepreneurship.