This is actually all very complicated, because if you're doing e.g. velocity estimation via smoothed differences, missing a point means you've (effectively) inserted a spike-like pseudo-datapoint into your Kalman filter (or whatever) --- it will not totally crap, but will be incorrect until the 'bad' datapoint flows completely through the filter.