Log-linear models

David Knoke

at 250 WPM

1h 20m

The average reader, reading at a speed of 250 WPM, would take 1h 20m to read Log-linear models.

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3

days at 30 min/day

80

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Log-linear models

by David Knoke

1980

Sage Publications

80

080391492X

Description

Discusses the innovative log-linear model of statistical analysis. This model makes no distinction between independent and dependent variables, but is used to examine relationships among categoric variables by analyzing expected cell frequencies.

Frequently Asked Questions

How many pages are in Log-linear models?

This edition of Log-linear models has approximately 80 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 Log-linear models?

For most readers, Log-linear models typically takes between 1h 40m and 1h 7m to complete. This is based on the book's length of approximately 20,000 words and common reading speeds.

Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 1h 20m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 3 days • Estimated word count: 20,000 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 Log-linear models?

The estimated word count for Log-linear models is approximately 20,000 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 Log-linear models?

Log-linear models was written by David Knoke.

When was Log-linear models published?

The publication date for this specific edition is 1980. The original work may have been published on a different date.