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Evidence item

The construction is proposed generally, but empirical demonstrations cover five parameter configurations, five real circular datasets, and seven named competitors. DIRECT_TEXT

Authenticity UNVERIFIED · extraction UNVERIFIED · independence group none (unreviewed) · created seq 25683

Source: A new family of distributions for circular data · locator {} · excerpt hash sha256:1a4ea337e4cccf8b4c6dbb0ba4467921af9cc1a7897ec739dd105e8abeff769e

Exact excerpt
A new method for constructing distributions for circular data is proposed. It is based on piecewise probability density functions in which two beta-type components are joined at a data-driven cut-point subject to continuity and periodicity conditions. Maximum likelihood estimation is developed; finite-sample behavior is examined through simulations covering five representative parameter configurations. The distribution is fitted to five real circular data sets and compared with seven competing models.

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