Quantification of categorical, or non-numerical, data is a problem
that scientists face across a wide range of disciplines. Exploring
data analysis in various areas of research, such as the social
sciences and biology, Multidimensional Nonlinear Descriptive
Analysis presents methods for analyzing categorical data that are
not necessarily sampled randomly from a normal population and often
involve nonlinear relations.
This reference not only provides an overview of multidimensional
nonlinear descriptive analysis (MUNDA) of discrete data, it also
offers new results in a variety of fields. The first part of the
book covers conceptual and technical preliminaries needed to
understand the data analysis in subsequent chapters. The next two
parts contain applications of MUNDA to diverse data types, with
each chapter devoted to one type of categorical data, a brief
historical comment, and basic skills peculiar to the data types.
The final part examines several problems and then concludes with
suggestions for future progress.
Covering both the early and later years of MUNDA research in the
social sciences, psychology, ecology, biology, and statistics, this
book provides a framework for potential developments in even more
areas of study.
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!
Welcome to Loot.co.za!
Sign in / Register |Wishlists & Gift Vouchers |Help | Advanced search
