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Statistical Inference

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Abstract

We use box models to illustrate statistical significance. We use simulation to understand sampling distributions and confidence intervals. We then look at simulation-based methods for statistical inference—the bootstrap and permutation tests.

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References

  • Bruce, P., and A. Bruce. 2017. Practical statistics for data scientists: 50 essential concepts. Sebastopol: O’Reilly Media.

    Google Scholar 

  • Chihara, L., and T. Hesterberg. 2011. Mathematical statistics with resampling and R. Hoboken, New Jersey: Wiley.

    MATH  Google Scholar 

  • Efron, B., and R.J. Tibshirani. 1991. Statistical data analysis in the computer age. Science, New Series 253 (5018): 390–395.

    Google Scholar 

  • Freedman, D., R. Pisani, and R. Purves. 2009. Statistics, 4th ed. New Delhi: Viva Books.

    MATH  Google Scholar 

  • Kahneman, D. 2011. Thinking, fast and slow. India: Penguin Books.

    Google Scholar 

  • Kennedy, P. 2003. A guide to econometrics. Cambridge: The MIT Press.

    Google Scholar 

  • Maindonald, J., and W.J. Braun. 2010. Data analysis and graphics using R: an example-based approach, 3rd ed., Cambridge series in statistical and probabilistic mathematics Cambridge: Cambridge University Press.

    MATH  Google Scholar 

  • Moore, D.S., G.P. McCabe, and B.A. Craig. 2009. Introduction to the practice of statistics. New York: W H Freeman and Company.

    Google Scholar 

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Correspondence to Vikram Dayal .

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Dayal, V. (2020). Statistical Inference. In: Quantitative Economics with R. Springer, Singapore. https://doi.org/10.1007/978-981-15-2035-8_9

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