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. |
From inside the book
Results 1-3 of 83
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 = { Z √ √ √ ' ( 1 − ƒ ) ( R / C ) ( 1 − R / C ) ] C - 1 + 2C ( 2.4 ) where f = Fraction of ... Confidence Limits 95 % Population proportion .60 20 2 / ESTIMATING ABUNDANCE.
... confidence interval for ( R / C ) is defined by the formula R = { Z √ √ √ ' ( 1 − ƒ ) ( R / C ) ( 1 − R / C ) ] C - 1 + 2C ( 2.4 ) where f = Fraction of ... Confidence Limits 95 % Population proportion .60 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 + 1.96 ...
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 + 1.96 ...
Other editions - View all
Common terms and phrases
abundance aerial analysis animals Appendix approach approximate assume assumptions calculations catchability caught Chapter coefficient confidence interval confidence limits CONTINUE correction cost counts defined density discussed distance distribution ecological ecologists Enter equal equation estimate example expected experiment field Figure finite follows FORMAT FORMAT 2X formula frequency given gives hypothesis illustrates marked mean measure method nearest negative binomial neighbor niche normal Note Number of individuals observed obtained organisms pattern plot Poisson possible precision probability problem procedure Program proportion quadrat random random sampling ratio READ regression relative replacement resource rule sample size sampling unit selected showed similarity simple sizes spatial species square standard error statistical stratum Table techniques Total number transect transformation usually variable variance wish WRITE