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|  | | Lyme Disease and Medical Fraud - Federal Lies, Medical Lies, and Statistics
Winning against Lyme disease and it's co-parasites, the CDC, medical industry, and big pharma. Forty seven years experience with five family members victimized.
Millions are suffering with Lyme disease while being drained further by a predatory medical industry, criminal CDC and fraudulent pharmaceutical industry. You probably know some if you aren't one. They're being treated for bipolar disorder, fibromyalgia, MS, Alzheimer's, MS, schizophrenia, personality disorder or many other bogus diseases. The money is in drugs that don't work, especially psychoactives which in the long term will create the symptoms they are supposed to treat. If you were blind sided by Lyme, you likely lost your career, maybe your home and family. Here is how I fared for 4 | |  | | Randomized Block Theorem and Foos Coefficient of Covariance
Elegant mathematical proof of theorem and derivation of useful parameter, the Foos Coefficient of Covariance for use with ANOVA or other replicated data sets in both design and analysis phases of formal research.
Very elegant and useful theorem developed by Alan Foos. Proof that statistical differences between blocks (replications) can be expressed in terms of covariance of treatment pairs across blocks. An FCC for treatments can also be calculated by substitution of the treatment mean square in the formula. From this proof. the FCC, Foos coefficient of covariance is derived. The FCC is a useful parameter giving the average ratio of covariance to variance of treatments across bllocks, or indeed, not just treatments but any set of data across its replications. The FCC can therefore be used to m |
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Undercover Reunion
by Raven West
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 Undercover Reunion, a novel of romance and adventure for Baby Boomers,fans of “The Man from U.N.C.L.E.” and anyone who has ever attended their high school reunion!
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