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 vii
... Normal Distribution 238 7.1.2 Variances from a Normal Distribution 243 7.1.3 Proportions from a Binomial Distribution 246 7.1.4 Counts from a Negative Binomial Distribution 248 7.2 Three Alternative Hypotheses 253 7.3 Stopping Rules 255 ...
... Normal Distribution 238 7.1.2 Variances from a Normal Distribution 243 7.1.3 Proportions from a Binomial Distribution 246 7.1.4 Counts from a Negative Binomial Distribution 248 7.2 Three Alternative Hypotheses 253 7.3 Stopping Rules 255 ...
Page 174
... normal distribution . 5.1.1 Means from a Normal Distribution If you need to measure a sample to estimate the average length of whitefish in a particular lake , you can begin with a very simple statistical assumption that lengths will ...
... normal distribution . 5.1.1 Means from a Normal Distribution If you need to measure a sample to estimate the average length of whitefish in a particular lake , you can begin with a very simple statistical assumption that lengths will ...
Page 448
... normal distribution for the chosen value of c 82 ( c ) = Estimate of kurtosis from a normal distribution for the chosen value of c Estimates of skewness and kurtosis are given in most statistics books ( Sokal and Rohlf , 1981 , p . 116 ) ...
... normal distribution for the chosen value of c 82 ( c ) = Estimate of kurtosis from a normal distribution for the chosen value of c Estimates of skewness and kurtosis are given in most statistics books ( Sokal and Rohlf , 1981 , p . 116 ) ...
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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