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Some statistical opportunities in the agricultural sciences
Author(s) -
Billard L.
Publication year - 1998
Publication title -
canadian journal of statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.804
H-Index - 51
eISSN - 1708-945X
pISSN - 0319-5724
DOI - 10.2307/3315764
Subject(s) - bivariate analysis , plant disease , range (aeronautics) , agriculture , econometrics , epidemiology , disease , estimation , computer science , statistics , mathematics , medicine , biology , ecology , microbiology and biotechnology , pathology , engineering , systems engineering , aerospace engineering
Quantitative plant‐disease epidemiology gained its primary motivation with the publication of VanderPlank's (1963) mathematical treatise, since which a range of predominantly deterministic models has been proposed by plant pathologists to describe the temporal dynamic of plant diseases. In this article, a number of results are reviewed. In particular, a summary is made of the primary models developed in the literature together with diseases for which they were proposed; estimation of the infection rate is considered for the generalized logistic model; and a bivariate stochastic model for stem and leaf infection is developed and used to obtain measures of plant disease stress.