REFERENCES
- Asquith, W.H. (2011), Distributional Analysis With L-Moment Statistics Using the R Environment for Statistical Computing, Lubbock, TX: CreateSpace Independent Publishing Platform.
- Faraway, J.J. (2005), Linear Models With R, Boca Raton, FL: Chapman and Hall/CRC.
- Helsel, D.R. (2012), Statistics for Censored Environmental Data Using Minitab and R (2nd ed.), New York: Wiley.
- Karian, Z.A., and Dudewicz, E.J. (2000), Fitting Statistical Distributions—The Generalized Lambda Distribution and Generalized Bootstrap Methods, Boca Raton, FL: CRC Press.
- Mercy, J., Kumaran, M. (2010), Estimation of the Generalized Lambda Distribution from Censored Data, Brazilian Journal of Probability and Statistics, 24, 42–56.
- Su, S. (2012), GLDEX—Fitting Single and Mixture Generalized Lambda Distributions (RS and FMKL) using Various Methods, R package version 1.0.4.4. Available at http://www.cran.r-project.org/package=GLDEX.
- Wang, D., Hutson, A.D., Miecznikowski, J.C. (2010), L-Moment Estimation for Parametric Survival Models Given Censored Data, Statistical Methodology, 7, 655–667.
REFERENCES
- Atkinson, A. C., Donev, A., and Tobias, R. (2007), Optimum Experimental Designs, with SAS, New York: Oxford University Press.
- Goos, P., and Jones, B. (2011), Optimal Design of Experiments: A Case Study Approach, New York: Wiley.
REFERENCES
- Amstrup, S.C., Caswell, H., DeWeaver, E., Stirling, I., Douglas, D.C., Marcot, B.G., Hunter, C.M. (2009), Rebuttal of “Polar Bear Population Forecasts: A Public-Policy Forecasting Audit,” Interfaces, 39, 35–369.
- Armstrong, J.S., Green, K.C., Soon, W. (2008), “Polar Bear Population Forecasts: A Public-Policy,” Interfaces, 38, 382–405.
- Winkler, R.L., Makridakis, S. (1983), “The Combination of Forecasts,” Journal of the Royal Statistical Society, Series A, 146, 150–157.
REFERENCES
- Casella, G., and Berger, R.L. (2002), Statistical Inference (2nd ed.), Belmont, CA: Duxbury Press.
- Hogg, R.V., McKean, J., and Craig, A.T. (2012), Introduction to Mathematical Statistics (7th ed.), Boston, MA: Pearson.
- Hogg, R.V., and Tanis, E.A. (2010), Probability and Statistical Inference (8th ed.), New Jersey: Prentice Hall.
- Lehmann, E.L., and Casella, G. (1998), Theory of Point Estimation (2nd ed.), New York: Springer.
- Navidi, D. (2010), Statistics for Engineers and Scientists, New York: McGraw-Hill.
- Stuart, A., and Ord, J.K. (1999), Kendall's Advanced Theory of Statistics (6th ed.), New York: Wiley.
REFERENCES
- De Veaux, R., Velleman, P., and Bock, D. (2012), Stats Data and Models (3rd ed.), Boston, MA: Addison-Wesley.
- Rice, J. (2007), Mathematical Statistics and Data Analysis (3rd ed.), Stamford: Cengage.
REFERENCES
- Dillman, D.A., Smith, J.D., and Christian, L.M. (2009), Internet, Mail, and Mixed-Mode Surveys: The Tailored Design Methods, New York: Wiley.
- Groves, R.M., Fowler, F.J. , Jr., Couper, M.P., Lepkowski, J.M., Singer, E., and Tourangeau, R. (2009), Survey Methodology ( 2nd ed.), New York: Wiley.
- Mishler, E.G. (1986), Research Interviewing: Context and Narrative, Cambridge, MA: Harvard University Press.
- Shadish, W.R., Cook, T.D., and Campbell, D. (2002), Experimental and Quasi-Experimental Designs for Generalized Causal Inference, New York: Houghton Mifflin.
- Spradley, J.P. (1979), The Ethnographic Interview, Fort Worth, TX: Harcourt Brace.