Consider the problem of making inference about the initial relative infection rate ([mu]) of a disease which is directly transmitted by contact between members of two distinct groups. Here two related martingale-based techniques are used to derive estimators and associated standard errors for [mu]. The first technique requires complete information on the epidemic, the second only the total number of two groups who were infected and their initial population sizes. Explicit expressions for the estimators are obtained. Efficiency between the two martingale techniques is considered. A simulation study is done to assess the performance of the two estimators.Initial relative infection rate ([mu]) maximum likelihood estimation zero mean martingale
which permits unrestricted use, distribution, and reproduction in any medium, provided the original ...
We investigate the initial behavior of a deterministic model of parasitic infection, appropriate to ...
Several statistical methods have been proposed for estimating the infection prevalence based on pool...
Consider the problem of making inference about the initial relative infection rate (μ) of a disease ...
This paper studies various estimators the infection rate of the simple stochastic epidemic model usi...
AbstractChoi and Severo (1988) proposed an estimator as an approximation to the maximum likelihood e...
A continuous-time model which allows for k types of susceptible individuals is constructed to study ...
grantor: University of TorontoThe transmission rate--a key parameter in epidemic modelling...
grantor: University of TorontoThe transmission rate--a key parameter in epidemic modelling...
We investigate the initial behavior of a deterministic model of parasitic infection, appropriate to ...
The initial size of a completely susceptible population in a group of individuals plays a key role i...
We investigate the initial behavior of a deterministic model of parasitic infection, appropriate to ...
We investigate the initial behavior of a deterministic model of parasitic infection, appropriate to ...
AbstractChoi and Severo (1988) proposed an estimator as an approximation to the maximum likelihood e...
This thesis is concerned with the development of Bayesian inference approach for the analysis of inf...
which permits unrestricted use, distribution, and reproduction in any medium, provided the original ...
We investigate the initial behavior of a deterministic model of parasitic infection, appropriate to ...
Several statistical methods have been proposed for estimating the infection prevalence based on pool...
Consider the problem of making inference about the initial relative infection rate (μ) of a disease ...
This paper studies various estimators the infection rate of the simple stochastic epidemic model usi...
AbstractChoi and Severo (1988) proposed an estimator as an approximation to the maximum likelihood e...
A continuous-time model which allows for k types of susceptible individuals is constructed to study ...
grantor: University of TorontoThe transmission rate--a key parameter in epidemic modelling...
grantor: University of TorontoThe transmission rate--a key parameter in epidemic modelling...
We investigate the initial behavior of a deterministic model of parasitic infection, appropriate to ...
The initial size of a completely susceptible population in a group of individuals plays a key role i...
We investigate the initial behavior of a deterministic model of parasitic infection, appropriate to ...
We investigate the initial behavior of a deterministic model of parasitic infection, appropriate to ...
AbstractChoi and Severo (1988) proposed an estimator as an approximation to the maximum likelihood e...
This thesis is concerned with the development of Bayesian inference approach for the analysis of inf...
which permits unrestricted use, distribution, and reproduction in any medium, provided the original ...
We investigate the initial behavior of a deterministic model of parasitic infection, appropriate to ...
Several statistical methods have been proposed for estimating the infection prevalence based on pool...