There have been many advances in the theory and applications of
discrete distributions in recent years. They can be applied to a
wide range of problems, particularly in the health sciences,
although a good understanding of their properties is very
important. "Discrete Distributions: Applications in the Health
Sciences" describes a number of new discrete distributions that
arise in the statistical examination of real examples. For each
example, an understanding of the issues surrounding the data
provides the motivation for the subsequent development of the
statistical models. Provides an overview of discrete distributions
and their applications in the health sciences. Focuses on real
examples, giving readers an insight into the utility of the models.
Describes the properties of each distribution, and the methods that
led to their development. Presents a range of examples from the
health sciences, including cancer, epidemiology, and demography.
Features discussion of software implementation - in SAS, Fortran
and R - enabling readers to apply the methods to their own
problems. Written in an accessible style, suitable for applied
statisticians and numerate health scientists. Software and data
sets are made available on the Web.
"Discrete Distributions: Applications in the Health Sciences"
provides a practical introduction to these powerful statistical
tools and their applications, suitable for researchers and graduate
students from statistics and biostatistics. The focus on
applications, and the accessible style of the book, make it an
excellent practical reference source for practitioners from the
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