Measurement-based stochastic models of biological materials

Biological materials are characterized by high complexity and related unpredictability. Parameters of such objects could be described using stochastic approach. This paper presents methodology to create of probability density function for biological materials. Stochastic models are based on measurements of conductivity using specialized device. Problems related with temperature, moisture of the material samples are discussed. Analysis is divided into two types of biological materials: homogenized used for calibration, and naturally heterogeneous.