The Conway–Maxwell–Poisson Distribution
€ 79,90
Informação do Produto
| ISBN | 9781009667135 |
|---|---|
| Autores | Kimberly F. Sellers |
| Editora | Cambridge University Press |
| Formato | Capa mole |
| Número de páginas | 354 |
| Peso (kg) | 0,550 |
| Data de Publicação | 10/07/2025 |
| Preço (iva excl.) | € 75,38 |
| Imposto | € 4,52 |
| Preço (iva inc.) | € 79,90 |
| Disponibilidade | 1 unidade em armazém externo |
Descrição do Produto
While the Poisson distribution is a classical statistical model for count data, the distributional model hinges on the constraining property that its mean equal its variance. This text instead introduces the Conway-Maxwell-Poisson distribution and motivates its use in developing flexible statistical methods based on its distributional form. This two-parameter model not only contains the Poisson distribution as a special case but, in its ability to account for data over- or under-dispersion, encompasses both the geometric and Bernoulli distributions. The resulting statistical methods serve in a multitude of ways, from an exploratory data analysis tool, to a flexible modeling impetus for varied statistical methods involving count data. The first comprehensive reference on the subject, this text contains numerous illustrative examples demonstrating R code and output. It is essential reading for academics in statistics and data science, as well as quantitative researchers and data analysts in economics, biostatistics and other applied disciplines.