Applied multivariate data analysis
Brian Everitt
Reading Time
at 250 WPM5h 54m
The average reader, reading at a speed of 250 WPM, would take 5h 54m to read Applied multivariate data analysis.
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12
days at 30 min/day
354
total minutes
Applied multivariate data analysis
Published
2010
Publisher
Wiley & Sons, Incorporated, John
Pages
354
ISBN-13
9780470711170
Description
Applied Multivariate Data Analysis is an intermediate-level text ideal for students and research workers in the social and behavioural sciences. After an introduction to data analysis and the statistical knowledge required to use the book, the authors go on to explain the analysis of complex data sets in detail. The up-to-date text includes modern techniques such as multidimensional scaling, cluster analysis, generalized linear models and structural equation models. Special features include emphasis on using methods of data analysis as exploratory tools; importance of searching for patterns in data stressed and exemplified; and interpretation of the output from statistical software.
Subjects
Multivariate data analysis
Statistical analysis for decision making
Multivariate statistical methods
Theory and application of the linear model
Using multivariate statistics
Applied regression analysis and other multivariable methods
Frequently Asked Questions
How many pages are in Applied multivariate data analysis?
This edition of Applied multivariate data analysis has approximately 354 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.
How long does it take to read Applied multivariate data analysis?
For most readers, Applied multivariate data analysis typically takes between 7h 23m and 4h 55m to complete. This is based on the book's length of approximately 88,500 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 5h 54m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 12 days • Estimated word count: 88,500 words
Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.
What is the word count of Applied multivariate data analysis?
The estimated word count for Applied multivariate data analysis is approximately 88,500 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.
This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.
Who is the author of Applied multivariate data analysis?
Applied multivariate data analysis was written by Brian Everitt, Graham Dunn.
When was Applied multivariate data analysis published?
The publication date for this specific edition is 2010. The original work may have been published on a different date.