**Blue** is a mother with a secret life. She'll do anything to keep it
from her son. But her past has other plans.

Type: Scripted

Languages: English

Status: Ended

Runtime: 42 minutes

Premier: 2012-06-11

## Blue - Gauss–Markov theorem - Netflix

In statistics, the Gauss–Markov theorem, named after Carl Friedrich Gauss and Andrey Markov, states that in a linear regression model in which the errors have expectation zero and are uncorrelated and have equal variances, the best linear unbiased estimator (BLUE) of the coefficients is given by the ordinary least squares (OLS) estimator, provided it exists. Here “best” means giving the lowest variance of the estimate, as compared to other unbiased, linear estimators. The errors do not need to be normal, nor do they need to be independent and identically distributed (only uncorrelated with mean zero and homoscedastic with finite variance). The requirement that the estimator be unbiased cannot be dropped, since biased estimators exist with lower variance. See, for example, the James–Stein estimator (which also drops linearity) or ridge regression.

## Blue - Statement - Netflix

of

is a positive semi-definite matrix for every other linear unbiased estimator

Cov
(
ε
i
,
ε
j
)
=
0
,
∀
i
≠
j
.
{\displaystyle {\text{Cov}}(\varepsilon *{i},\varepsilon *)=0,\forall i\neq j.}

## Blue - References - Netflix

- https://books.google.com/books?id=5IxRAAAAMAAJ&pg=PA127
- https://books.google.com/books?id=QyIW8WUIyzcC&pg=PA7
- http://doi.org/10.1103%2Fphysrevd.41.982
- http://doi.org/10.1093%2Fbiomet%2F37.1-2.149
- https://www.netflixtvshows.com
- http://www.jstor.org/stable/2332158
- https://web.archive.org/web/20040213071852/http://emlab.berkeley.edu/GMTheorem/index.html
- http://www.ams.org/mathscinet-getitem?mr=0036980
- http://jeff560.tripod.com/g.html
- http://www.xycoon.com/ols1.htm
- https://books.google.com/books?id=QyIW8WUIyzcC&pg=PA13
- https://books.google.com/books?id=QyIW8WUIyzcC&pg=PA10