bias
English translation: pristrasnost, sistemska greška
| GLOSSARY ENTRY (DERIVED FROM QUESTION BELOW) | ||||||
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| 09:47 Oct 29, 2015 |
| Serbian to English translations [PRO] Mathematics & Statistics / Statistics | |||||||
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|  Selected response from: Milena Taylor Serbia | ||||||
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| Summary of answers provided | ||||
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| 4 +3 | pristrasnost, sistemska greška |
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| 3 | neobjektivno |
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| 3 | Netacan/neprecizan |
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Answers
39 mins confidence: 
neobjektivno Explanation: bias data = neobjektivni podaci, pristrasni, pod uticajem itd. |
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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 |
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2 hrs confidence: peer agreement (net): +3
peer agreement (net): +3pristrasnost, 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... Example sentence(s):
Reference: http://www.dmi.uns.ac.rs/site/dmi/download/master/primenjena... |
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