Reference
- Van der Vaart, A. W. (2000), Asymptotic Statistics, Cambridge, UK: Cambridge University Press.
Reference
- Kirchner, J. W., and Weil, A. (2000), “Delayed Biological Recovery From Extinctions Throughout the Fossil Record,” Nature, 404, 177–180.
References
- Berger, M. P. F., and Wong, W. K. (2009), An Introduction to Optimal Designs for Social and Biomedical Research, Chichester, UK: Wiley.
- Bloom, H. S. (1995), “Minimum Detectable Effects: A Simple Way to Report the Statistical Power of Experimental Designs,” Evaluation Review, 19, 547–556.
- Donner, A., and Klar, N. (2000), Design and Analysis of Cluster Randomization Trials in Health Research, London: Edward Arnold.
- Schochet, P.Z. (2013), “Statistical Power for School Based RCTs with Binary Outcomes,” Journal of Research on Educational Effectiveness, 6, 263–294.
- Spybrook, J., Bloom, H., Congdon, R., Hill, C., Martinez, A., and Raudenbush, S. (2011), Optimal Design Plus Empirical Evidence: Documentation for the Optimal Design Software. Available at http://hlmsoft.net/od/od-manual-20111016-v300.pdf
References
- Berliner, M. (1996), “Hierarchical Bayesian Time Series Models,” in Maximum Entropy and Bayesian Methods, eds. K. Hanson and R. Silver, Boston, MA: Kluwer Academic Publishers, pp. 15–22.
- Wasserstein, R. L., and Lazar, N. A. (2016), “The ASA's Statement on p-Values: Context, Process, and Purpose,” The American Statistician, 70, 129–133.
- Wikle, C. K. (2003), “Hierarchical Models in Environmental Science,” International Statistical Review, 71, 181–199.
References
- Hastie, T., Tibshirani, R., and Friedman, J. (2009), The Elements of Statistical Learning, New York: Springer.
- James, G., Witten, D., Hastie, T., and Tibshirani, R. (2014), An Introduction to Statistical Learning: With Applications in R, New York: Springer.
References
- Commandeur, J. J. F, and Koopman, S. J. (2007), An Introduction to State Space Time Series Analysis, Oxford, UK: Oxford University Press.
- Durbin, J., and Koopman, S. J. (2012), Time Series Analysis by State Space Methods, Oxford, UK: Oxford University Press.
- Harvey, A. C. (1989), Forecasting, Structural Time Series Models and the Kalman Filter, Cambridge, UK: Cambridge University Press.