SEARCH

SEARCH BY CITATION

References

  • Bailey, L.L., Hines, J.E., Nichols, J.D. & MacKenzie, D.I. (2007) Sampling design trade-offs in occupancy studies with imperfect detection: examples and software. Ecological Applications, 17, 281290.
  • Bristol, D.R. (1989) Sample sizes for constructing confidence intervals and testing hypotheses. Statistics in Medicine, 8, 803811.
  • Casagrande, J.T., Pike, M.C. & Smith, P.G. (1978) An improved approximate formula for calculating sample sizes for comparing two binomial distributions. Biometrics, 34, 483486.
  • Cherry, S. (1998) Statistical tests in publications of The Wildlife Society. Wildlife Society Bulletin, 26, 947953.
  • Cochran, W.G. & Cox, G.M. (1957) Experimental Designs, 2nd edn. Wiley & Sons, Oxford.
  • Cohen, J. (1988) Statistical Power Analysis for the Behavioural Sciences, 2nd edn. Lawrence Erlbaum Associates, Hilldale, New Jersey, USA.
  • Cohen, J. (1990) Things i have learned (so far). American Psychologist, 45, 13041312.
  • Daly, L. (1991) Confidence intervals and sample sizes: don’t throw out all your old sample size tables. BMJ, 302, 333336.
  • Di Stefano, J. (2001) Power analysis and sustainable forest management. Forest Ecology and Management, 154, 141153.
  • Di Stefano, J. (2003) How much power is enough? Against the development of an arbitrary convention for statistical power calculations Functional Ecology, 17, 707709.
  • Di Stefano, J. (2004) A confidence interval approach to data analysis. Forest Ecology and Management, 187, 173183.
  • Dobson, A.J. & Gebski, V.J. (1986) Sample sizes for comparing two independent proportions using the continuity-corrected ArcSine transformation. Journal of the Royal Statistical Society (series D), 35, 5153.
  • Donner, A. (1984) Approaches to sample size estimation in the design of clinical trials – a review. Statistics in Medicine, 3, 199214.
  • Field, S.A., Tyre, A.J. & Possingham, H.P. (2005) Optimizing allocation of monitoring effort under economic and observational constraints. Journal of Wildlife Management, 69, 473482.
  • Field, S.A., Tyre, A.J., Jonzén, N., Rhodes, J.R. & Possingham, H.P. (2004) Minimizing the cost of environmental management decisions by optimizing statistical threholds. Ecology Letters, 7, 669675.
  • Fleiss, J.L. (1973) Statistical Methods for Rates and Proportions. Wiley & Sons, New York.
  • Fleiss, J.L., Tytun, A. & Ury, H.K. (1980) A simple approximation for calculating sample sizes for comparing independent proportions. Biometrics, 36, 343346.
  • Goodman, S.N. & Berlin, J.A. (1994) The use of predicted confidence intervals when planning experiments and the misuse of power when interpreting results. Annals of Internal Medicine, 121, 200206.
  • Gordon, I. & Watson, R. (1996) The myth of continuity-corrected sample size formulae. Biometrics, 52, 7176.
  • Greenland, S. (1988) On sample-size and power calculations for studies using confidence intervals. American Journal of Epidemiology, 128, 231237.
  • Guillera-Arroita, G., Ridout, M.S. & Morgan, B.J.T. (2010) Design of occupancy studies with imperfect detection. Methods in ecology and evolution, 1, 131139.
  • Hauck, W.W. & Donner, A. (1977) Wald’s test as applied to hypotheses in logit analysis. Journal of the American Statistical Association, 72, 851853.
  • IUCN (2001) Red List Categories and Criteria: Version 3.1. IUCN Species Survival Commission, Gland.
  • Johnson, D.H. (1999) The Insignificance of Statistical Significance Test. Journal of Wildlife Management, 63, 763772.
  • Legg, C.J. & Nagy, L. (2006) Why most conservation monitoring is, but need not be, a waste of time. Journal of Environmental Management, 78, 194199.
  • MacKenzie, D.I. (2005) What are the issues with presence absence data for wildlife managers? Journal of Wildlife Management, 69, 849860.
  • MacKenzie, D.I. & Royle, J.A. (2005) Designing occupancy studies: general advice and allocating survey effort. Journal of Applied Ecology, 42, 11051114.
  • MacKenzie, D.I., Nichols, J.D., Lachman, G.B., Droege, S., Royle, J.A. & Langtimm, C.A. (2002) Estimating site occupancy rates when detection probabilities are less than one. Ecology, 83, 22482255.
  • MacKenzie, D.I., Nichols, J.D., Hines, J.E., Knutson, M.G. & Franklin, A.B. (2003) Estimating site occupancy, colonization, and local extinction when a species is detected imperfectly. Ecology, 84, 22002207.
  • MacKenzie, D.I., Nichols, J.D., Royle, J.A., Pollock, K.H., Bailey, L.L. & Hines, J.E. (2006) Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence. Academic Press, New York.
  • Mapstone, B.D. (1995) Scalable decision rules for environmental impact studies: effect size, type I, and type II errors. Ecological Applications, 5, 401410.
  • McCarthy, M.A. & Possingham, H.P. (2007) Active adaptive management for conservation. Conservation Biology, 21, 956963.
  • Miller, D.A., Nichols, J.D., McClintock, B.T., Campbell Grant, E.H., Bailey, L.L. & Weir, L.A. (2011) Improving occupancy estimation when two types of observation error occur: non-detection and species misidentification. Ecology, 92, 14221428.
  • Morgan, B.J.T. (2008) Applied Stochastic Modelling, 2nd edn. Chapman & Hall, London.
  • Nickerson, R.S. (2000) Null hypothesis significance testing: a review of an old and continuing controversy. Psychological Methods, 5, 241301.
  • Shea, K. & Possingham, H.P. (2000) Optimal release strategies for biological control agents: an application of stochastic dynamic programming to population management. Journal of Applied Ecology, 37, 7786.
  • Shrader-Frechette, K.S. & McCoy, E.D. (1992) Statistics, costs and rationality in ecological inference. Trends in Ecology & Evolution, 7, 9699.
  • Steidl, R.J., Hayes, J.P. & Schauber, E. (1997) Statistical power analysis in wildlife research. Journal of Wildlife Management, 61, 270279.
  • Thomas, L. & Juanes, F. (1996) The importance of statistical power analysis: an example from Animal Behaviour. Animal Behaviour, 52, 856859.
  • Toft, C.A. & Shea, P.J. (1983) Detecting community-wide patterns: estimating power strengthens statistical inference. The American Naturalist, 122, 618625.
  • Tyre, A.J., Tenhumberg, B., Field, S.A., Niejalke, D., Parris, K. & Possingham, H.P. (2003) Improving precision and reducing bias in biological surveys: estimating false-negative error rates. Ecological Applications, 13, 17901801.
  • Ury, H.K. & Fleiss, J.L. (1980) On approximate sample sizes for comparing two independent proportions with the use of Yates’ correction. Biometrics, 36, 347351.
  • Vaeth, M. (1985) On the use of Wald’s test in exponential families. International statistical review, 53, 199214.
  • Vorburger, M. & Munoz, B. (2006) Simple power calculations: how do we know we are doing them the right way? Proceedings of the Survey Research Methods Section of the American Statistical Association, pp. 38093812. American Statistical Association, Alexandria, VA. http://www.amstat.org/sections/srms/Proceedings/ .
  • Walters, D.E. (1979) In defence of the ArcSine approximation. Journal of the Royal Statistical Society (series D), 28, 219222.
  • Yoccoz, N.G. (1991) Use, overuse, and misuse of significance test in evolutionary biology and ecology. Bulletin of the Ecological Society of America, 72, 106111.
  • Yoccoz, N.G., Nichols, J.D. & Boulinier, T. (2001) Monitoring of biological diversity in space and time. Trends in Ecology & Evolution, 16, 446453.