Ecological MethodologyEcological Methodology, Second Edition provides a balance of material on animal and plant populations, and teaches students of ecology how to design efficient tests in order to obtain maximum precision with minimal work. |
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Page 446
... transformation that can be tailor - made to your specific data . The most widely used general transformation is the Box - Cox transformation . 13.1.1 Standard Transformations The four most commonly used statistical transformations are ...
... transformation that can be tailor - made to your specific data . The most widely used general transformation is the Box - Cox transformation . 13.1.1 Standard Transformations The four most commonly used statistical transformations are ...
Page 449
... transformation . This transform is preferable to the straight square root transform when the observed data are small numbers and include some zero values ( Zar , 1984 ) . If you wish to obtain the mean and confidence limits in the ...
... transformation . This transform is preferable to the straight square root transform when the observed data are small numbers and include some zero values ( Zar , 1984 ) . If you wish to obtain the mean and confidence limits in the ...
Page 450
... transformation is given by = X ' = arcsin Vp where X ' Transformed value ( measured in degrees ) p = Observed proportion ( 13.15 ) Transformed values may also be given in radians rather than degrees . The conversion factor is simply ...
... transformation is given by = X ' = arcsin Vp where X ' Transformed value ( measured in degrees ) p = Observed proportion ( 13.15 ) Transformed values may also be given in radians rather than degrees . The conversion factor is simply ...
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abundance aphids Appendix assumptions bias calculations capture Caughley census zone Chapter chi-square clumped coefficient of variation confidence interval confidence limits defined density estimate distance ecological ecologists END-OF-FILE Enter equal catchability equation estimate of population estimate population example Figure finite population FORMAT 2X formula frequency distribution index of dispersion line transect mark-recapture marked animals method n₁ nearest neighbor negative binomial distribution niche breadth niche overlap normal distribution null hypothesis Number of animals Number of individuals number of quadrats number of samples number of species observed obtained parameters Petersen plot Poisson distribution population density population estimate problem Program proportion quadrat counts random points random sampling ratio READ recaptures regression sample size sample sizes sampling unit Schnabel Seber second sample simple random sampling spatial pattern standard error statistical statistical population stratum study area survival rate Table techniques Total number transformation variable variance