By George G. Judge,Ron C. Mittelhammer

ISBN-10: 0521689732

ISBN-13: 9780521689731

ISBN-10: 0521869595

ISBN-13: 9780521869591

This booklet is meant to supply the reader with a company conceptual and empirical figuring out of easy information-theoretic econometric types and strategies. simply because such a lot information are observational, practitioners paintings with oblique noisy observations and ill-posed econometric versions within the kind of stochastic inverse difficulties. therefore, conventional econometric tools in lots of circumstances should not appropriate for answering a few of the quantitative questions that analysts desire to ask. After preliminary chapters care for parametric and semiparametric linear chance versions, the focal point turns to fixing nonparametric stochastic inverse difficulties. In succeeding chapters, a kinfolk of energy divergence measure-likelihood capabilities are brought for quite a number conventional and nontraditional econometric-model difficulties. ultimately, inside of both an empirical greatest probability or loss context, Ron C. Mittelhammer and George G. pass judgement on recommend a foundation for selecting a member of the divergence family.

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An Information Theoretic Approach to Econometrics by George G. Judge,Ron C. Mittelhammer


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