Modelling the Flowering of Four Eucalypt Species Using New Mixture Transition Distribution Models

Abstract

The multivariate relationship between the probability of flowering, in relation to two discrete states of rainfall and of temperature (high/low), is investigated via a mixture transition distribution (MTD) analysis, which allows for a different transition matrix for each lag (up to 12 months backwards in time) to present flowering via a so-called MTDg analysis. The conventional mixture transition distribution (MTD) model considers the effect of each lag to the present independently, and uses equal transition matrices among different lags. Flowering data consisted of monthly flowering records of E. leucoxylon, E. microcarpa, E. polyanthemos and E. tricarpa (1940 and 1970). We extend the MTDg ..