USGS - science for a changing world

Northern Prairie Wildlife Research Center

  Home About NPWRC Our Science Staff Employment Contacts Common Questions About the Site

Suggestions for Presenting the Results of Data Analyses

Literature Cited


Anderson, D.R., K.P. Burnham, W.R. Gould, and S. Cherry. 2001. Concerns about
     finding effects that are actually spurious. Wildlife Society Bulletin
     29:311-316.
     
_____, _____, and W.L. Thompson. 2000. Null hypothesis testing: problems, 
     prevalence, and an alternative. Journal of Wildlife Management 64:912-923.
     
_____,_____, and G.C. White. 1994. AIC model selection in overdispersed capture-
     recapture data. Ecology 75:1780-1793.
     
Barnett, V. 1999. Comparative statistical inference. John Wiley & Sons, New York,
     USA.
     
Burnham, K.P., and D.R. Anderson. 1998. Model selection and inference: a practical
     information-theoretic approach. Springer-Verlag, New York, USA.
     
_____, and _____. 2001. Kullback-Leibler information as a basis for strong
     inference in ecological studies. Wildlife Research 28:in press.
     
Carlin, B.P., and T.A. Lewis. 1996. Bayes and empirical Bayes methods for data
     analysis. Chapman & Hall, New York, USA.
     
Chamberlin, T.C. 1965 (1890). The method of multiple working hypotheses. Science
     148:754-759. (Reprint of 1890 paper in Science.)

Cherry, S. 1998. Statistical tests in publications of The Wildlife Society. 
     Wildlife Society Bulletin 26:947-953.
     
Ellison, A.M. 1996. An introduction of Bayesian inference for ecological 
     research and environmental decision-making. Ecological Applications
     6:1036-1046.
     
Gelman, A., J.B. Carlin, H.S. Stern, and D.B. Rubin. 1995. Bayesian data analysis.
     Chapman & Hall, New York, USA.
     
_____, and X.-L. Meng. 1996. Model checking and model improvement. Pages 189-201
     in W.R. Gilks, S. Richardson, and D.J. Spiegelhalter, editors. 
     Markov Chain Monte Carlo in practice. Chapman & Hall, New York, USA.
     
Gerard, P.D., D.R. Smith, and G. Weerakkody. 1998. Limits or retrospective power
     analysis. Journal of Wildlife Management 62:801-807.
     
Geyer, C.J. 1992. Practical Markov chain Monte Carlo (with discussion). Statistical
     Science 7:473-503.
     
Goodman, S.N., and J.A. Berlin. 1994. The use of predicted confidence intervals
     when planning experiments and the misuse of power when interpreting results.
     Annals of Internal Medicine 121:200-206.
     
Hedges, L.V., and I. Olkin. 1985. Statistical methods for meta-analysis. Academic
     Press, London, United Kingdom.
     
Hoenig, J.M., and D.M. Heisey. 2001. The abuse of power: the pervasive fallacy
     of power calculation for data analysis. The American Statistician 55:19-24.
     
Johnson, D.H. 1999. the insignificance of statistical significance testing. 
     Journal of Wildlife Management 63:763-772.
     
Kullback, S., and R.A. Leibler. 1951. On information and sufficiency. Annals
     of Mathematical Statistics 22:79-86.
     
Lee, P.M. 1997. Bayesian statistics, an introduction. Second edition. John
     Wiley & Sons, New York, USA.
     
Liang, K-Y., and P. McCullagh. 1993 Case studies in binary dispersion. 
     Biometrics 49:623-630.
     
Lindsey, J.K. 1999a. Some statistical heresies. The Statistician 48:1-40.

_____. 1999b. Revealing statistical principles. Oxford University Press,
     New York, USA.
     
McCullagh, P., and J.A. Nelder. 1989. Generalized linear models. Chapman & Hall,
     London, United Kingdom.
     
O'Connor, R.J. 2000. Why ecology lags behind biology. The Scientist 14(20):35.

Royall, R.M. 1997. Statistical evidence: a likelihood paradigm. Chapman & Hall, 
     London, United Kingdom.
     
Rubin, D.B. 1984. Bayesianly justifiable and relevant frequency calculations
     for the applied statistician. Annals of Statistics 12:1151-1172.
     
Schmitt, S.A. 1969. Measuring uncertainty: an elementary introduction to Bayesian
     statistics. Addison-Wesley, Reading, Massachusetts, USA.
     
Schwarz, G. 1978. Estimating the dimension of a model. Annals of Statistics
     6:461-464.
     
Sellke, T., M.J. Bayarri, and J.O. Berger. 2001. Calibration of p values
     for testing precise null hypotheses. The American Statistician 55:62-71.
     
Tufte, E.R. 1983. The visual display of quantitative information. Graphic Press,
     Cheshire, Connecticut, USA.
     
Wade, P.R. 2000. Bayesian methods in conservation biology. Conservation Biology
     14:1308-1316.
     
White, G.C., D.R. Anderson, K.P. Burnham, and D.L. Otis. 1982. Capture-recapture
     and removal methods for sampling closed populations. Los Alamos National 
     Laboratory Report LA-8787-NERP, Los Alamos, New Mexico, USA.
     
White, H. 2000. A reality check for data snooping. Econometrica 68:1097-1126.

The Wildlife Society. 1995a Journal news. Journal of Wildlife Management
     59:196-198.
     
_____. 1995b. Journal news. Journal of Wildlife Management 59:630.

Yoccoz, N.G. 1991. Use, overuse, and misuse of significance tests in evolutionary
     biology and ecology. Bulletin of the Ecological Society of America 
     72:106-111

Previous Section -- General Considerations Concerning the Presentation of Results
Return to Contents

Accessibility FOIA Privacy Policies and Notices

Take Pride in America logo USA.gov logo U.S. Department of the Interior | U.S. Geological Survey
URL: http://www.npwrc.usgs.gov/resource/methods/pressugg/litcited.htm
Page Contact Information: Webmaster
Page Last Modified: Saturday, 02-Feb-2013 06:03:03 EST
Reston, VA [vaww55]