Passion is like genius; a miracle.

In R, gives you this example: But the doc does not explain the difference between lm.D9 and lm.D90. Their difference is that lm.D9 has intercept (like weight = intercept + beta * group) while lm.D90 does not (weight = beta * group). But this is only small part of the difference. If you look at…

Errors and residuals in statistics – Wikipedia, the free encyclopedia [quote]The error of a sample is the deviation of the sample from the (unobservable) true function value, while the residual of a sample is the difference between the sample and the estimated function value.[/quoye]

R: Adjust P-values for Multiple Comparisons Adjust p value using, e.g., Bonferroni correction in mutiple comparisons.

Scorecard is a table to compute, for example, credit score of a person. For example, add 10 if age < 30, add 20 if age < 40, add 30 if age <40, add 10 if he/she does not own a house, and add 20 if he/she owns a house. The grand sum of this process…

LIBSVM — A Library for Support Vector Machines includes a introduction for beginner and pythin tool.

material.html Looks pretty readable and nice._________________________________________

http://epp.eurostat.ec.europa.eu/cache/ITY_PUBLIC/NTTS2001/43.pdf Statistical method to combine data from different sources when exact matching of key is not feasible. For example, combine health data and income data from two different sources when SSN is not available because of privacy issue.

Given 1 (head of a coin) and 0(tail of a coin) as a sequence like 101011110101, …, we want to figure out the proportion of 1 in population, i.e., how likely is it to observe head for the given coin. Let X be the random variable where 1 means head and 0 means tail. If…