This new edition reflects recent advances in time-series econometrics, such as out-of-sample forecasting techniques, non-linear time-series models, Monte Carlo analysis, and bootstrapping. Numerous examples from fields ranging from agricultural economics to transnational terrorism illustrate...

Maximum likelihood estimation is a general method for estimating the parameters of econometric models from observed data. The principle of maximum likelihood plays a central role in the exposition of this book, since a number of estimators used in econometrics can be derived within this...

Theory of Vector Optimization -- Nonlinear Multiobjective Programming -- Goal Programming in the Period 1990–2000 -- Fuzzy Multiobjective and Multilevel Optimization -- Interactive Nonlinear Multiobjective Procedures -- Evolutionary Algorithms and Multiple Objective Optimization -- Data...