A simple and convenient way is provided to compute maximum likelihood estimates of the parameters in Markov chain and an explicit formula for Fisher information matrix is obtained.

Based on the Fisher information matrix, an investigation method of model identifiability is proposed, which impr.

The problem of multisensor placements was analyzed with the Fisher information matrixes derived from target localization by radial range,range sum and range difference,respectively.

This paper analyzes the observability of bearings-only measurement system from the viewpoint of stochastic systems,introduces Fisher information matrix as a criterion for determining observability and proposes a new method for determining observability of stochastic systems which is entirely different with the one for deterministic system.

Using Fisher information matrix to deal with parameter estimation for truncated samples from normal distribution;

The evaluation algorithms of Cramer-Rao inequality and Fisher information in parameter estimation were introduced.

Based on the Fisher information,a study is made on the phenomena of stochastic resonance(SR) and suprathreshold stochastic resonance(SSR)in a maximizing network of threshold devices for three representative noises,leading to the conclusion that the Fisher information can be enhanced with the noise,i.

After expressing the Fisher information in left truncated data in terms of the distributions of complete data, we study the relations of Fisher information between the left truncated and the complete data.

By the analysis and simulation of the model,the author found the trend of which the Fisher information slowly decreases and then fast increases with the effective phase width,and the larger neuronal density,the more Fisher information can be seen.