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Probability Theory and Statistical Inference

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  • Spanos,Aris

Abstract

Doubt over the trustworthiness of published empirical results is not unwarranted and is often a result of statistical mis-specification: invalid probabilistic assumptions imposed on data. 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. Each chapter has been thoroughly updated, accounting for developments in the field and the author's own research. The comprehensive scope of the textbook has been expanded by the addition of a new chapter on the Linear Regression and related statistical models. 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.

Suggested Citation

  • Spanos,Aris, 2019. "Probability Theory and Statistical Inference," Cambridge Books, Cambridge University Press, number 9781107185142.
    • Handle: RePEc:cup:cbooks:9781107185142
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    Cited by:

    1. Niraj Poudyal & Aris Spanos, 2022. "Model Validation and DSGE Modeling," Econometrics, MDPI, vol. 10(2), pages 1-25, April.
    2. Aris Spanos, 2021. "Yule–Simpson’s paradox: the probabilistic versus the empirical conundrum," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 30(2), pages 605-635, June.
    3. Aris Spanos, 2022. "Frequentist Model-based Statistical Induction and the Replication Crisis," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 20(1), pages 133-159, September.
    4. Léopold Simar & Paul W. Wilson, 2023. "Another look at productivity growth in industrialized countries," Journal of Productivity Analysis, Springer, vol. 60(3), pages 257-272, December.
    5. Michaelides, Michael & Spanos, Aris, 2020. "On modeling heterogeneity in linear models using trend polynomials," Economic Modelling, Elsevier, vol. 85(C), pages 74-86.

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