Book by Tom Leonard
"synopsis" may belong to another edition of this title.
Book Description Chapman & Hall/CRC, 2000. Soft cover. Book Condition: Very Good. P/B 183 pages, condition is very good, minor edge wear. Although t-tests, linear regression, and analysis of variance are useful, valid methods for analysis of measurement data and categorical data require a different methodology and techniques typically not encountered in introductory statistics courses. Developed from long experience ia teaching categorical data analysis to a multidisciplinary mix of undergraduate and graduate students, A Course in Categorical Data Analysis presents the easiest, most direct ways of extracting real life conclusions from contingency tables. Written from a Fisherian viewpoint, the author incorporates numerous examples and real data sets. S-PLUS routines are available through the Internet, but readers do not need full knowledge of a statistical software package - a background in elementary statistics and basic algebra will suffice. In this unique text, the author chooses methods and an approach that nurture intuitive thinking. He trains his readers to focus not entirely on finding a model that fits the data, but also on using methodologies that may lead to meaningful conclusions. The book offers some simple, innovative techniques not highlighted in other texts that help make the book accessible to a broad, interdisciplinary audience. A Course in Categorical Data Analysis enables readers to use an insightful approach for drawing scientific, medical, and real life conclusions from categorical data sets. Bookseller Inventory # 060699
Book Description Chapman & Hall/CRC, 1999. Hardcover. Book Condition: Good. Item may show signs of shelf wear. Pages may include limited notes and highlighting. Includes supplemental or companion materials if applicable. Access codes may or may not work. Connecting readers since 1972. Customer service is our top priority. Bookseller Inventory # S_198697533