Typically, ionization sampling is done over small amounts of lost energy as in the gas of a drift chamber or in a bubble chamber liquid. Due to the fluctuations in the energy loss in thin slices, it is important to obtain a large number of samplings. It is then the statistical distribution of values measured for the same track which allows an estimation of the velocity , on which energy loss depends. In analysing the sample of local values, care must be taken to use a sensible estimator: due to the tail in the Landau distribution, a simple mean value will be a bad estimator. Mostly, one uses either a truncated mean (like eliminating the 20% of highest individual measurements), or resorts to a full maximum likelihood treatment.
Ample discussion on optimizing detectors and readout for ionization sampling, and a vast amount of literature is also found in review papers, e.g. [Lehraus83], [Allison91]. [Blum93] discusses in detail the collection and analysis of ionization samples in drift chambers.