In this week’s Brief, we look at ways to determine optimal sample size. Our course spotlight is April 10 – May 8: Sample Size and Power Determination See you in class! – Peter Bruce Founder, Author, and Senior Scientist Big Sample, Unreliable Result The 1948 Kinsey report on male sexual behavior in the U.S. yieldedContinue reading “Mar 9: Statistics in Practice”
Daily Archives: March 10, 2020
Ridge Regression
Ridge regression is a method of penalizing coefficients in a regression model to force a more parsimonious model (one with fewer predictors) than would be produced by an ordinary least squares model. The term “ridge” was applied by Arthur Hoerl in 1970, who saw similarities to the ridges of quadratic response functions. In ordinary leastContinue reading “Ridge Regression”
Big Sample, Unreliable Result
Which would you rather have? A large sample that is biased, or a representative sample that is small? The American Statistical Association committee that reviewed the 1948 Kinsey report on male sexual behavior, based on interviews with over 5000 men, left no doubt of their preference for the latter. The statisticians – William Cochran, FrederickContinue reading “Big Sample, Unreliable Result”