Bücher von Jati Sengupta

Representing a significant extension to the current theory of innovation, this analysis offers a novel paradigm based on US and Asian data that applies the Schumpeterian model of innovation to today's competitive, managerially challenging business environment.

This monograph provides an integrated view of control theory methods, synthesizing the three phases from feedback control to stochastic control and from stochastic control to adaptive control.

Econometrics as an applied discipline attempts to use information in a most efficient manner, yet the information theory and entropy approach developed by Shannon and others has not played much of a role in applied econometrics.

This book integrates two strands of economic development: the endogenous theory of growth and the extra-market models of evolutionary economics dominated by innovation efficiency. It presents this paradigm in terms of both theory and historical experiences.

New efficiency theory refers to the various parametric and semi-parametric methods of estimating production and cost frontiers, which include data envelopment analysis (DEA) with its diverse applications in management science and operations research.

Methods of ap plied stochastic control using stochastic processes have now reached an exciti~g phase, where several disciplines like systems engineering, operations research and natural reso- ces interact along with the conventional fields such as mathematical economics, finance and control systems.

As a basis for optimization, it is central to all normative hypotheses used in eco- nomics, but in decision-making situations it has stochastic and evolution- ary aspects that are more dynamic and hence more fundamental.

Covers the techniques of data envelopment analysis in dynamic and stochastic fields. This work gives a treatment of productive efficiency analysis in the dynamic environment. It is illustrated by real life applications, and is suitable for students and researchers in operations research, management science and applied econometrics.

Econometrics as an applied discipline attempts to use information in a most efficient manner, yet the information theory and entropy approach developed by Shannon and others has not played much of a role in applied econometrics.

Evolving industries are deemed essential for economic growth, but can also collapse when ill-judged decisions are made on the basis of incomplete information. This extension of the Schumpeterian approach introduces a stochastic model of industry life cycles.