This two-volume work aims to present as completely as possible the
methods of statistical inference with special reference to their
economic applications. The reader will find a description not only
of the classical concepts and results of mathematical statistics,
but also of concepts and methods recently developed for the
specific needs of econometrics. The authors have sought to avoid an
overly technical presentation and go to some lengths to encourage
an intuitive understanding of the results by providing numerous
examples throughout. The breadth of approaches and the extensive
coverage of the two volumes provide for a thorough and entirely
self-contained course in modern econometrics. Volume 1 provides an
introduction to general concepts and methods in statistics and
econometrics, and goes on to cover estimation and prediction.
Volume 2 focuses on testing, confidence regions, model selection,
and asymptotic theory.
General
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