By Carl J. Huberty, Stephen Olejnik(auth.), Walter A. Shewhart, Samuel S. Wilks(eds.)
A entire creation to discriminant analysis--extensively revised, increased, and updated
This Second Edition of the vintage e-book, Applied Discriminant Analysis, displays and references present utilization with its new identify, Applied MANOVA and Discriminant Analysis. completely up to date and revised, this booklet remains to be crucial for any researcher or scholar wanting to profit to talk, learn, and write approximately discriminant research in addition to advance a philosophy of empirical examine and information research. Its thorough advent to the applying of discriminant research is extraordinary.
delivering the main up to date machine functions, references, phrases, and real-life examine examples, the Second Edition additionally comprises new discussions of MANOVA, descriptive discriminant research, and predictive discriminant research. more recent SAS macros are incorporated, and graphical software program with information units and courses are supplied at the book's comparable website.
The booklet features:
- Detailed discussions of multivariate research of variance and covariance
- An elevated variety of bankruptcy workouts besides chosen solutions
- Analyses of information bought through a repeated measures layout
- A new bankruptcy on analyses regarding predictive discriminant research
- Basic SPSS(r) and SAS(r) laptop syntax and output built-in during the publication
Applied MANOVA and Discriminant Analysis allows the reader to detect numerous kinds of examine questions utilizing MANOVA and discriminant research; to profit the which means of this field's thoughts and phrases; and with a purpose to layout a learn that makes use of discriminant research via issues akin to one-factor MANOVA/DDA, assessing and describing MANOVA results, and deleting and ordering variables.Content:
Chapter 1 Discriminant research in examine (pages 3–14):
Chapter 2 Preliminaries (pages 15–32):
Chapter three workforce Separation (pages 35–59):
Chapter four Assessing MANOVA results (pages 61–79):
Chapter five Describing MANOVA results (pages 81–102):
Chapter 6 Deleting and Ordering Variables (pages 103–116):
Chapter 7 Reporting DDA effects (pages 117–127):
Chapter eight Factorial MANOVA (pages 131–162):
Chapter nine research of Covariance (pages 163–192):
Chapter 10 Repeated?Measures research (pages 193–225):
Chapter eleven Mixed?Model research (pages 227–251):
Chapter 12 type fundamentals (pages 255–267):
Chapter thirteen Multivariate common ideas (pages 269–284):
Chapter 14 category effects (pages 285–293):
Chapter 15 Hit expense Estimation (pages 295–314):
Chapter sixteen Effectiveness of type principles (pages 315–333):
Chapter 17 Deleting and Ordering Predictors (pages 335–347):
Chapter 18 Two?Group type (pages 349–360):
Chapter 19 Nonnormal principles (pages 361–374):
Chapter 20 Reporting PDA effects (pages 375–383):
Chapter 21 PDA?Related Analyses (pages 385–389):
Chapter 22 concerns in PDA and DDA (pages 393–400):
Chapter 23 difficulties in PDA and DDA (pages 401–410):
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