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 18
... confidence interval is lucky or unlucky . Confidence intervals are an important guide to the precision of your estimates . If a Petersen population estimate has a very wide confidence interval , you should not place too much faith in it ...
... confidence interval is lucky or unlucky . Confidence intervals are an important guide to the precision of your estimates . If a Petersen population estimate has a very wide confidence interval , you should not place too much faith in it ...
Page 20
... confidence interval for ( R / C ) is defined by the formula R + ( 1 −ƒ ) ( R / C ) ( 1 − R / C ) ] C - 1 - + 2C where 1 / 2C = ƒ = Fraction of total ... Confidence Limits 95 % Population proportion .80 .76 20 2 / ESTIMATING ABUNDANCE.
... confidence interval for ( R / C ) is defined by the formula R + ( 1 −ƒ ) ( R / C ) ( 1 − R / C ) ] C - 1 - + 2C where 1 / 2C = ƒ = Fraction of total ... Confidence Limits 95 % Population proportion .80 .76 20 2 / ESTIMATING ABUNDANCE.
Page 473
Charles J. Krebs. APPENDIX 1.3 : CONFIDENCE LIMITS FOR THE MEAN OF A BINOMIAL DISTRIBUTION When x > 100 use the normal approximation : 95 % confidence limits of x : Lower limit = x -0.94–1.96√x - 0.02 Upper limit = x + 1.94 + 1.96Vx + ...
Charles J. Krebs. APPENDIX 1.3 : CONFIDENCE LIMITS FOR THE MEAN OF A BINOMIAL DISTRIBUTION When x > 100 use the normal approximation : 95 % confidence limits of x : Lower limit = x -0.94–1.96√x - 0.02 Upper limit = x + 1.94 + 1.96Vx + ...
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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