Skip to main content

Chapter 13: Extra Problems

  • Chapter
  • First Online:
  • 14k Accesses

Part of the book series: Springer Texts in Statistics ((STS))

Abstract

In previous chapters, problems were supplied relevant to the material in that chapter. In this final chapter, we present a series of problems without the chapter context, and often with less direction for modelling the data.

Practice is the best of all instructors.

Publilius Syrus [ 19 , Number 439]

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   89.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD   119.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Bailey, R.A., Simon, L.J.: Two studies in automobile insurance ratemaking. ASTIN Bulletin I(IV), 192–217 (1960)

    Article  Google Scholar 

  2. Breslow, N.E.: Extra-Poisson variation in log-linear models. Applied Statistics 33(1), 38–44 (1984)

    Article  Google Scholar 

  3. Crossland, N.O.: A method to evaluate effects of toxic chemicals on fish growth. Chemosphere 14(11–12), 1855–1870 (1985)

    Article  Google Scholar 

  4. Davison, A.C., Hinkley, D.V.: Bootstrap Methods and their Application. Cambridge University Press (1997)

    Google Scholar 

  5. Duncan, P.D., Ritter, P.L., Dornbusch, S.M., Gross, R.T., Carlsmith, J.M.: The effects of pubertal timing on body image, school behavior, and deviance. Journal of Youth and Adolescence 14(3), 227–235 (1985)

    Article  Google Scholar 

  6. Dunn, P.K., Smyth, G.K.: Series evaluation of Tweedie exponential dispersion models. Statistics and Computing 15(4), 267–280 (2005)

    Article  MathSciNet  Google Scholar 

  7. Efron, B.: Double exponential families and their use in generalized linear regression. Journal of the American Statistical Association 81(395), 709–721 (1986)

    Article  MathSciNet  Google Scholar 

  8. Geyer, C.J.: Constrained maximum likelihood exemplified by isotonic convex logistic regression. Journal of the American Statistical Association 86(415), 717–724 (1991)

    Article  Google Scholar 

  9. Hand, D.J., Daly, F., Lunn, A.D., McConway, K.Y., Ostrowski, E.: A Handbook of Small Data Sets. Chapman and Hall, London (1996)

    MATH  Google Scholar 

  10. Johnson, M.P., Raven, P.H.: Species number and endemism: The Galápagos Archipelago revisited. Science 179(4076), 893–895 (1973)

    Article  Google Scholar 

  11. Maul, A.: Application of generalized linear models to the analysis of toxicity test data. Environmental Monitoring and Assessment 23(1), 153–163 (1992)

    Google Scholar 

  12. Montgomery, D.C., Peck, E.A.: Introduction to Regression Analysis. Wiley, New York (1992)

    MATH  Google Scholar 

  13. Morrell, C.H.: Simpson’s paradox: An example from a longitudinal study in South Africa. Journal of Statistics Education 7(3) (1999)

    Google Scholar 

  14. O’Hara Hines, R.J., Carter, M.: Improved added variable and partial residual plots for the detection of influential observations in generalized linear models. Applied Statistics 42(1), 3–20 (1993)

    Article  Google Scholar 

  15. Price, J.J., Field, C.J., Field, E.A., Marr, M.C., Myers, C.B., Morrisse, R.E., Schwetz, B.A.: Developmental toxicity of boric acid in mice and rats. Fundamental and Applied Toxicology 18, 266–277 (1992)

    Article  Google Scholar 

  16. de Silva, H.N., Hall, A.J., Tustin, D.S., Gandar, P.W.: Analysis of distribution of root length density of apple trees on different dwarfing rootstocks. Annals of Botany 83, 335–345 (1999)

    Article  Google Scholar 

  17. Slaton, T.L., Piergorsch, W.W., Durham, S.D.: Estimation and testing with overdispersed proportions using the beta-logistic regression model of Heckman and Willis. Biometrics 56(1), 125–133 (2000)

    Article  Google Scholar 

  18. Smyth, G.K.: Australasian data and story library (Ozdasl) (2011). URL http://www.statsci.org/data

  19. Publius Syrus: The Moral Sayings of Publius Syrus, a Roman Slave: from the Latin. L. E. Bernard & co (Translated by Darius Lyman) (1856)

    Google Scholar 

  20. Telford, R.D., Cunningham, R.B.: Sex, sport, and body-size dependency of hematology in highly trained athletes. Medicine and Science in Sports and Exercise 23(7), 788–794 (1991)

    Article  Google Scholar 

  21. Yang, P.J., Pham, J., Choo, J., Hu, D.L.: Duration of urination does not change with body size. Proceedings of the National Academy of Sciences 111(33), 11 932–11 937 (2014)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Science+Business Media, LLC, part of Springer Nature

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Dunn, P.K., Smyth, G.K. (2018). Chapter 13: Extra Problems. In: Generalized Linear Models With Examples in R. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-0118-7_13

Download citation

Publish with us

Policies and ethics