LogLinear Models (Quantitative Applications in the Social Sciences),New

LogLinear Models (Quantitative Applications in the Social Sciences),New

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SKU: DADAX080391492X
Brand: SAGE Publications, Inc
$36.81
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Discusses the innovative loglinear 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.

⚠️ WARNING (California Proposition 65):

This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.

For more information, please visit www.P65Warnings.ca.gov.

  • Q: What is the main focus of 'Log-Linear Models' by David Knoke? A: The book primarily discusses the log-linear model of statistical analysis, emphasizing its use in examining relationships among categorical variables without distinguishing between independent and dependent variables.
  • Q: What condition is the book in? A: The book is listed as a used book in good condition.
  • Q: What is the page count of 'Log-Linear Models'? A: The book contains a total of 80 pages.
  • Q: When was 'Log-Linear Models' published? A: The book was published on August 1, 1980.
  • Q: Who is the author of 'Log-Linear Models'? A: The author of the book is David Knoke.
  • Q: What type of binding does this book have? A: This edition of 'Log-Linear Models' is a paperback binding.
  • Q: Is there an edition information available for this book? A: There is no specific edition information provided for this book.
  • Q: What category does 'Log-Linear Models' fall under? A: This book is categorized under Probability & Statistics.
  • Q: Is there any care information provided for this book? A: Care information is not specifically provided, but it is generally recommended to store books in a cool, dry place to maintain their condition.
  • Q: Can this book be useful for beginners in statistics? A: Yes, the book can be useful for beginners as it provides foundational insights into log-linear models and their applications in statistical analysis.

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