may not work without it.
If you have any problems related to the accessibility of any content (or if you want to request that a specific publication be accessible), please contact (email@example.com). We will work to respond to each request in as timely a manner as possible.
This thesis concerns discrete probability distributions with power-law tailbehavior. Discrete power-law distributions are reviewed together withtheir truncated versions. The Zipf distribution (Zipf, 1932) is then focusedon and a truncated version of the Zipf distribution is further studied. Thisdistribution is known as the discrete truncated power-law distribution(DTPL). The basic properties of the DTPL are derived and procedurefor estimating the parameters of the distribution are developed. Theusefulness of the distribution is shown through several data examples.