Abstract
Traditionally, the study of statistics begins with models based on the normal distribution. This approach gives students a biased view of what is possible in statistics because, as we shall see, the most fundamental models are those for discrete data. As well, the latter are now by far the most commonly used in applied statistics. Thus, we begin our presentation of generalized linear regression modelling with the study of log linear models.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Rights and permissions
Copyright information
© 1997 Springer-Verlag New York, Inc.
About this chapter
Cite this chapter
(1997). Discrete Data. In: Applying Generalized Linear Models. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-0-387-22730-6_2
Download citation
DOI: https://doi.org/10.1007/978-0-387-22730-6_2
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-98218-2
Online ISBN: 978-0-387-22730-6
eBook Packages: Springer Book Archive