Benjamin/Cummings, 1999 - Science - 620 pages
This coherent text translates the methods of statisticians into "ecological English" so that students may readily apply these methods to the real world. Ecological Methodology, Second Edition provides a balance of material on animal and plant populations. It teaches students of ecology how to design the most efficient tests in order to obtain maximum precision with minimal work. The first part of the text focuses on biological and technical issues in statistical methodology. Students learn about advances that have been made in designing better sampling devices, along with the techniques and equipment used for sampling. The second part deals with creating solid statistical design, and presents all methods that are well-known to statisticians in a language and context that students will easily understand.
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Estimate approximate k by Method 1 above (equation [4.11]). 2. Try to use the
maximum-likelihood estimator (eq. [4.14]). If it will not work on your data continue
on to (3). 3. Locate your sample on Figure 4.10, given the observed mean and
If sample size is above 20, we can use the normal approximation to the
confidence interval: p it tas; (7.13) where p = Observed proportion ta = Value of
Student's t-distribution for n – 1 degrees of freedom ss = Standard error of p =
Vpá/n p Thus ...
... If the total number of recaptures exceeds 30, an approximate 95% confidence
interval for No is given by this equation (Seber 1982, 188): 2(X, Y)? 2(X, Y)? (1.96
+ VAL FT)2 < No. 3 (–1.96 + VAL - 1)2 (9,39) where all terms are as defined ...