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Multi‐stage sampling for population estimation
Author(s) -
Kuno Eizi
Publication year - 1976
Publication title -
population ecology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.819
H-Index - 59
eISSN - 1438-390X
pISSN - 1438-3896
DOI - 10.1007/bf02754081
Subject(s) - sampling (signal processing) , population , estimation , stage (stratigraphy) , statistics , sampling design , biology , computer science , ecology , mathematics , computer vision , engineering , paleontology , demography , filter (signal processing) , sociology , systems engineering
Summary Multi‐stage sampling is a convenient technique suited to the desnity estimation of biological populations living in habitats with complicated structures. This paper describes a general method of its application to population estimation in which the preliminary information on the spatial distribution pattern of the population under study can be incorporated as the parameters of the mean crowding‐mean relationship. The formulae that are necessary to perform sequential or double sampling plans for its efficient application are derived. The procedure of application of the method is explained with a numerical example.