Practical data analysis for designed experiments / Brian S. Yandell.
By: Yandell, Brian S
.
Material type: 
BookSeries: Texts in statistical science: Publisher: London ; New York : Chapman & Hall, 1997Description: xiv, 437 p. : ill. ; 24 cm. + hbk.ISBN: 0412063417 .Subject(s): Experimental design | Analysis of varianceDDC classification: 519.538 | Item type | Current library | Call number | Copy number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|
| General Lending | MTU Bishopstown Library Lending | 519.538 (Browse shelf(Opens below)) | 1 | Available | 00070977 |
Enhanced descriptions from Syndetics:
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.
Includes bibliographical references (pages 423-429) and index.
Part A: Placing data in context -- Part B: Working with groups of data -- Part C: Sorting out effects with data -- Part D: Dealing with imbalance -- Part E: Questioning assumptions -- Part F: Regressing with factors -- Part G: Deciding on fixed or random effects -- Part H: Nesting experimental units -- Part I: Repeating measures on subjects.