Freedman, D., Pisani, R. and Purves, R. (1978). Statistics. Norton, New York.  Home/Search Document Not in Database Summary Related Articles Check |
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Solving The Bible Code Puzzle - McKay, Bar-Natan, Bar-Hillel, Kalai (1999) (Correct)
....evidence is strong and leave it for the reader to judge. Regression to the mean In virtually all test retest situations, the bottom group on the first test will on average show some improvement on the second test and the top group will on average fall back. This is the regression e#ect. (Freedman, Pisani and Purves, 1978). Variations on WRR s experiments, which constitute retest situations, are a case in point. Does this, then, mean that they should show weaker results If one adopts WRR s null hypothesis, the answer is yes . In that case, the very low permutation rank they observed is an extreme point in the ....
Freedman, D., Pisani, R. and Purves, R. (1978). Statistics. Norton, New York.
A Unified Notion of Outliers: Properties and Computation - Knorr, Ng (1997) (17 citations) (Correct)
....F (O; Q) Dg. The fraction p is the minimum fraction of objects in T that must be outside the D neighbourhood of an outlier. Outliers in Normal Distributions For a normal distribution, outliers can be considered to be points that lie 3 or more standard deviations (i.e. 3oe) from the mean (Freedman, Pisani, Purves 1978). Definition 2 Let T be a set of values that is truly normally distributed with mean and standard deviation oe. Define DefNormal as follows: t 2 T is an outlier iff t Gamma oe 3 or t Gamma oe Gamma3. 2 Lemma 1 UO(p; D) unifies DefNormal with p 0 = 0:9988; D 0 = 0:13oe, i.e. t is an ....
Freedman, D.; Pisani, R.; and Purves, R. 1978. Statistics.
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