## 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

These simple

about. Parametric methods of ... If you choose to use

, you have to decide on exactly what

do ...

These simple

**transformations**are not usually the type that statisticians writeabout. Parametric methods of ... If you choose to use

**transformations**on your data, you have to decide on exactly what

**transformation**to use. There are two ways todo ...

Page 449

Maximum likelihood occurs at X = -0.29, and this exponent could be used in the

Box-Cox

Maximum likelihood occurs at X = -0.29, and this exponent could be used in the

Box-Cox

**transformation**. This**transform**is preferable to the straight square root**transform**when the observed data are small numbers and include some zero ...Page 450

where the percentages range from 30 to 70%, there is no need for a

arcsine

given value.

where the percentages range from 30 to 70%, there is no need for a

**transformation**, but if any values are nearer to 0 or 100% you should use anarcsine

**transformation**. The term arcsine stands for the angle whose sine is agiven value.

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### Other editions - View all

Ecological Methodology Charles J. Krebs,CHARLES L. KREBS,Professor of Zoology Charles J Krebs No preview available - 1999 |

### Common terms and phrases

abundance aerial analysis aphids Appendix assumptions bias calculations capture Caughley Chapter clumped coefficient of variation confidence interval confidence limits defined density estimate distance ecological ecologists END-OF-FILE equal catchability equation estimate of population estimate population example Figure finite population FORMAT 2X,'ENTER formula frequency distribution index of dispersion level of precision line transect mark-recapture marked animals Morisita 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 probability problem Program proportion quadrat counts random points random sampling ratio READ regression resource sample size sample sizes sampling unit Seber second sample sequential sampling simple random sampling spatial pattern standard error statistical statistical population stratum study area survival rate Table techniques Total number transformation unmarked variable variance voles