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 73
Statisticians have employed many different statistical distributions to describe
these three basic spatial patterns in populations. ... 3.2.1 Poisson Distribution The
approach to the statistical analysis of spatial patterns in biological populations is
...
Statisticians have employed many different statistical distributions to describe
these three basic spatial patterns in populations. ... 3.2.1 Poisson Distribution The
approach to the statistical analysis of spatial patterns in biological populations is
...
Page 79
For the goodness of fit of a Poisson distribution we have G = 2 y, (observed
frequency) logJ — ) (3.7) , \expected frequency/ where G = Test statistic for log-
likelihood ratio For the earthworm data G = 7.7 1 with 4 degrees of freedom, and
so ...
For the goodness of fit of a Poisson distribution we have G = 2 y, (observed
frequency) logJ — ) (3.7) , \expected frequency/ where G = Test statistic for log-
likelihood ratio For the earthworm data G = 7.7 1 with 4 degrees of freedom, and
so ...
Page 188
5.2.2 Counts from a Poisson Distribution Sample size estimation is very simple
for any variable which can be described by the Poisson distribution, in which the
variance equals the mean (Chapter 3). From this it follows that CV = S- = ^ = ^
XXX ...
5.2.2 Counts from a Poisson Distribution Sample size estimation is very simple
for any variable which can be described by the Poisson distribution, in which the
variance equals the mean (Chapter 3). From this it follows that CV = S- = ^ = ^
XXX ...
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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