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 92
Page 201
... SIMPLE RANDOM SAMPLING The most convenient starting point for discussing sampling designs is simple random sampling . Like many statistical concepts , " random sampling " is easier to explain on paper than it is to apply in the field ...
... SIMPLE RANDOM SAMPLING The most convenient starting point for discussing sampling designs is simple random sampling . Like many statistical concepts , " random sampling " is easier to explain on paper than it is to apply in the field ...
Page 202
... simple random sampling is one . Simple random sampling is defined as follows : 1. A statistical population is defined that consists of N sampling units ; 2. n units are selected from the possible samples in such a way that every unit ...
... simple random sampling is one . Simple random sampling is defined as follows : 1. A statistical population is defined that consists of N sampling units ; 2. n units are selected from the possible samples in such a way that every unit ...
Page 234
... Simple random sampling is the easiest and most common sampling design . Each possible sample unit must have an equal chance of being selected to obtain a random sample . All the formulas of statistics are based on random sampling , and ...
... Simple random sampling is the easiest and most common sampling design . Each possible sample unit must have an equal chance of being selected to obtain a random sample . All the formulas of statistics are based on random sampling , and ...
Other editions - View all
Common terms and phrases
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