DEFINITION of 'Sample Selection Bias'
A type of bias caused by choosing non-random data for statistical analysis. The bias exists due to a flaw in the sample selection process, where a subset of the data is systematically excluded due to a particular attribute. The exclusion of the subset can influence the statistical significance of the test, or produce distorted results.

http://www.investopedia.com/terms/s/sample_selection_basis.a...

A statistic is biased if it is calculated in such a way that it is only systematically different from the population parameter of interest. The following lists some types of biases, which can overlap.
https://en.wikipedia.org/wiki/Bias_(statistics)
Za ocenu Θ
*
= Θ
*
(X1,X2,...,Xn) parametra θ kažemo da je centrirana ili
nepristrasna (unbiased) ako je njena srednja vrednost jednaka traženom parametru:
(str.114)
Očigledno je da relacija (5.16) nije tačna pa je ocena (5.17) srednje vrednosti
posrednog merenja Z pristrasna. Drugim rečima iako su neposredna merenja
x i n i
, = 1,..., tačna, posredno merenje dobijeno po formuli (5.17) sadrži sistematsku
grešku (bias), približno jednaku: (str. 144)

http://www.tf.uns.ac.rs/~omorr/radovan_omorjan_003_is/Osnovi...

Jedne od mera tačnosti ocene su njena standardna greška i pristrasnost (Bias) i
Bootstrap metoda se može primeniti u njihovom ocenjivanju.
http://elibrary.matf.bg.ac.rs/bitstream/handle/123456789/376...

Jako je
bitno odrţavati pretpostavku jednakih šansi, čime ćemo sprečiti pristrasnost rezultata (bias).
http://rusnak.truni.sk/prednasky/biostatistika/SRB/Biostatis...