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Estimation of contemporaneous mortality factors
Author(s) -
Buonaccorsi John P.,
Elkinton Joseph S.
Publication year - 1990
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/bf02512596
Subject(s) - resampling , statistical inference , statistics , competition (biology) , econometrics , biology , inference , nonlinear system , mathematics , estimation , ecology , computer science , economics , artificial intelligence , physics , management , quantum mechanics
Summary We present methods for solving and making statistical inferences about marginal attack rates based on observed death rates for contemporaneous mortality factors. The general method of solution involves solving a system of nonlinear equations which depend in part on competition coefficients that express the outcome when more than one agent attacks the same host individual. For two factors, we present a detailed analysis of the effect of varying this competition coefficient. Statistical inferences are illustrated using standard large sample approximations (the delta method) and the bootstrap, which is a resampling technique. We also extend the results to allow inferences for k ‐values.