Placing data in the context of the scientific discovery of knowledge through experimentation, Practical Data Analysis for Designed Experiments examines issues of comparing groups and sorting out factor effects and the consequences of imbalance and nesting, then works through more practical applications of the theory. Written in a modern and accessible manner, this book is a useful blend of theory and methods. Exercises included in the text are based on real experiments and real data.
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"the book should be useful for statisticians who are starting out as consultantsalso contains much good practical advice based on the writer's experience as a teacher and statistical advisor." -M. Talbot, Biometrics, December 1998 "gives a generally lucid and well thought out introduction to the use of data driven approaches for statistical data analysisthe explanations are clear, without being obscured by too much mathematical detailan excellent basis for a statistics course with an applied orientation, and most institutions that teach statistics or analyse data will probably want a library copy." -S.N. Wood, Biometrics, December 1998
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