bias

English translation: pristrasnost, sistemska greška

GLOSSARY ENTRY (DERIVED FROM QUESTION BELOW)
 Serbian term or phrase: bias English translation: pristrasnost, sistemska greška Entered by:

 09:47 Oct 29, 2015
Serbian to English translations [PRO]
Mathematics & Statistics / Statistics
 Serbian term or phrase: bias Pojam u statistici - biased data, kako izbjeci bias, itd.
 Local time: 23:43
 pristrasnost, sistemska greška Explanation: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...
Selected response from:

Milena Taylor
Serbia
 Selected automatically based on peer agreement.4 KudoZ points were awarded for this answer

Summary of answers provided
4 +3pristrasnost, sistemska greška
 Milena Taylor
3Netacan/neprecizan
 milena beba
3neobjektivno
 Goran Tasic

39 mins   confidence:
neobjektivno

Explanation:
bias data = neobjektivni podaci, pristrasni, pod uticajem itd.

 Goran TasicSerbiaLocal time: 23:43Native speaker of: Serbian
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1 hr   confidence:
Netacan/neprecizan

Explanation:
Osim subjektivnih faktora kao sto su manipulacija, neobjektivnost I sl. 'biased data' moze takodje biti I rezultat greske u sistemu obrade

 milena bebaUnited KingdomNative speaker of: Serbian, Serbo-Croat
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2 hrs   confidence: peer agreement (net): +3
pristrasnost, sistemska greška

Explanation:
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)

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).

Example sentence(s):
• Pristrasnost ocenjivača t je Bias(tˆ) = E(tˆ) − t. Ukoliko je Bias(tˆ) = 0, kaˇzemo da je tˆ nepristrasan ocenjivač za t

 Milena TaylorSerbiaWorks in fieldNative speaker of: Serbian, Serbo-CroatPRO pts in category: 8
 Selected automatically based on peer agreement.

Peer comments on this answer (and responses from the answerer)
agree
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-> Хвала!

agree
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-> Hvala!

agree
 2 days 17 hrs
-> Hvala!
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