Discrete Distributions

Beschreibung

There have been many advances in the theory and applications ofdiscrete distributions in recent years. They can be applied to awide range of problems, particularly in the health sciences,although a good understanding of their properties is veryimportant. Discrete Distributions: Applications in the HealthSciences describes a number of new discrete distributions thatarise in the statistical examination of real examples. For eachexample, an understanding of the issues surrounding the dataprovides the motivation for the subsequent development of thestatistical models. * Provides an overview of discrete distributions and theirapplications in the health sciences. * Focuses on real examples, giving readers an insight into theutility of the models. * Describes the properties of each distribution, and the methodsthat 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 totheir own problems. * Written in an accessible style, suitable for appliedstatisticians and numerate health scientists. * Software and data sets are made available on the Web. Discrete Distributions: Applications in the HealthSciences provides a practical introduction to these powerfulstatistical tools and their applications, suitable for researchersand graduate students from statistics and biostatistics. The focuson applications, and the accessible style of the book, make it anexcellent practical reference source for practitioners from thehealth sciences.

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Daniel Zelterman

Themen in »Discrete Distributions«

Angew. Wahrscheinlichkeitsrechn. u. Statistik / Modelle Applied Probability & Statistics - Models Biostatistics Biostatistik Multivariate Analyse Multivariate Analysis Regression Analysis Regressionsanalyse Statistics Statistik

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"...should appeal to those in statistical research and biostatistical practice who have similar applications." (Technometrics, August 2005)
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