A unique and comprehensive text on the philosophy of model-based
data analysis and strategy for the analysis of empirical data. The
book introduces information theoretic approaches and focuses
critical attention on a priori modeling and the selection of a good
approximating model that best represents the inference supported by
the data. It contains several new approaches to estimating model
selection uncertainty and incorporating selection uncertainty into
estimates of precision. An array of examples is given to illustrate
various technical issues. The text has been written for biologists
and statisticians using models for making inferences from empirical
data.
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!