How Long to Read Analysis of Variance for Random Models

By Hardeo Sahai

How Long Does it Take to Read Analysis of Variance for Random Models?

It takes the average reader 8 hours and 36 minutes to read Analysis of Variance for Random Models by Hardeo Sahai

Assuming a reading speed of 250 words per minute. Learn more

Description

ANOVA models involving random effects have found widespread application to experimental design in varied fields such as biology, econometrics, and engineering. Volume I of this two-part work is a comprehensive presentation of methods and techniques for point estimation, interval estimation, and hypotheses tests for linear models involving random effects. Volume I examines models with balanced data (orthogonal models); Volume II studies models with unbalanced data (non-orthogonal models). Accessible to readers with a modest mathematical and statistical background, the work will appeal to a broad audience of graduate students, researchers, and practitioners. It can be used as a graduate text or as a self-study reference.

How long is Analysis of Variance for Random Models?

Analysis of Variance for Random Models by Hardeo Sahai is 499 pages long, and a total of 129,241 words.

This makes it 168% the length of the average book. It also has 158% more words than the average book.

How Long Does it Take to Read Analysis of Variance for Random Models Aloud?

The average oral reading speed is 183 words per minute. This means it takes 11 hours and 46 minutes to read Analysis of Variance for Random Models aloud.

What Reading Level is Analysis of Variance for Random Models?

Analysis of Variance for Random Models is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Analysis of Variance for Random Models?

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