Name: The Conway–Maxwell–Poisson Distribution (Institute of Mathematical Statistics Monographs, Series Number 8) (en Inglés)
Price: 142700.00 CLP
Availability: InStock
Author: Sellers, Kimberly F.
ISBN: 9781108481106

portada The Conway–Maxwell–Poisson Distribution (Institute of Mathematical Statistics Monographs, Series Number 8) (en Inglés)

Formato

Libro Físico

Autor

Kimberly F. Sellers

Editorial

Cambridge University Press

Idioma

Inglés

N° páginas

250

Encuadernación

Tapa Dura

Dimensiones

22.9 x 15.2 x 2.4 cm

Peso

0.69 kg.

ISBN13

9781108481106

Categorías

Probabilidad y estadística

The Conway–Maxwell–Poisson Distribution (Institute of Mathematical Statistics Monographs, Series Number 8) (en Inglés)

Kimberly F. Sellers (Autor) · Cambridge University Press · Tapa Dura

Libro Físico

$ 142.700

$ 285.400

Ahorras: $ 142.700

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Reseña del libro "The Conway–Maxwell–Poisson Distribution (Institute of Mathematical Statistics Monographs, Series Number 8) (en Inglés)"

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.