Probability Theory and Statistical Inference Empirical Modeling with Observational Data Second EditionĪris Spanos Virginia Tech (Virginia Polytechnic Institute & State University)
Mayo, Error and Inference: Recent Exchanges on Experimental Reasoning, Reliability, and the Objectivity and Rationality of Science (Cambridge, 2010). He is the author of Statistical Foundations of Econometric Modelling (Cambridge, 1986) and, with D.
Schmidt Professor of Economics at Virginia Polytechnic Institute and State University. This new edition is now more accessible to students of disciplines beyond economics and includes more pedagogical features, with an increased number of examples as well as review questions and exercises at the end of each chapter. The comprehensive scope of the textbook has been expanded by the addition of a new chapter on the Linear Regression and related statistical models. Each chapter has been thoroughly updated, accounting for developments in the field and the author’s own research. Now in its second edition, this bestselling textbook offers a comprehensive course in empirical research methods, teaching the probabilistic and statistical foundations that enable the specification and validation of statistical models, providing the basis for an informed implementation of statistical procedure to secure the trustworthiness of evidence. Probability Theory and Statistical Inference Doubt over the trustworthiness of published empirical results is not unwarranted and is often a result of statistical misspecification: invalid probabilistic assumptions imposed on data.
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