Mobile ad-hoc networks (MANETs) present quite large packet loss bursts due to mobility. In this work we propose two models based on hidden Markov models for estimating packet arrivals and packet loss patterns in MANETs. These models help the evaluation and tuning of multimedia streaming applications in terms of simulation time and required resources. In particular, we show how these models can be applied in the design of error concealment algorithms to increase the video coding resilience. The obtained results show that we get comparable results without the need for several long simulation runs. Finally, we also propose a set of new metrics for packet loss patterns analysis that can be of interest for the evaluation of audio/video streaming applications. Categories and Subject Descriptors I.6.4 [Simulation and Modeling]: Model Validation and Analysis General Terms Verification, Performance Keywords Wireless ad-hoc networks, Markov models, burst metrics