Analyzing observed or measured data is an important step in applied
sciences. The recent increase in computer capacity has resulted in
a revolution both in data collection and data analysis. An
increasing number of scientists, researchers and students are
venturing into statistical data analysis; hence the need for more
guidance in this field, which was previously dominated mainly by
statisticians.
This handbook fills the gap in the range of textbooks on data
analysis. Written in a dictionary format, it will serve as a
comprehensive reference book in a rapidly growing field. However,
this book is more structured than an ordinary dictionary, where
each entry is a separate, self-contained entity. The authors
provide not only definitions and short descriptions, but also offer
an overview of the different topics. Therefore, the handbook can
also be used as a companion to textbooks for undergraduate or
graduate courses.
1700 entries are given in alphabetical order grouped into 20
topics and each topic is organized in a hierarchical fashion.
Additional specific entries on a topic can be easily found by
following the cross-references in a top-down manner. Several
figures and tables are provided to enhance the comprehension of the
topics and a list of acronyms helps to locate the full
terminologies. The bibliography offers suggestions for further
reading.
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