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- The '''bias ratio''' is an indicator used in [[finance]] to analyze the returns of inve ...dicate the presence of bias in subjective pricing. The formulation of the Bias Ratio stems from an insight into the behavior of asset managers as they add ...18 KB (2,743 words) - 11:05, 23 November 2022
- The '''zero-bias transform''' is a transform from one [[probability distribution]] to anothe ...sider a random variable ''T'' with mean zero and variance ''σ²''. The zero bias transform of its [[Probability density function|density function]] {{math|' ...4 KB (583 words) - 13:37, 17 December 2024
- ...ics.107.074666 | pmid=17483403 | pmc=1931521 }}</ref> refer to "mutational bias for body size". ...ation biases may be invoked to account for such phenomena as [[Codon usage bias|systematic differences in codon usage]] or genome composition between speci ...28 KB (3,758 words) - 18:20, 12 December 2024
- ...ith the differences being sufficiently small that different definitions of bias produce different results.<ref name=":22">{{Cite journal |last=Ernst |first To measure the bias of a certain apportionment method M, one can check, for each pair of entitl ...9 KB (1,495 words) - 15:09, 26 February 2025
- {{Short description|Cognitive bias}} '''Time-saving bias''' is a concept that describes people's tendency to misestimate the time th ...8 KB (1,220 words) - 18:45, 31 October 2024
- The '''frequency principle/spectral bias''' is a phenomenon observed in the study of [[Artificial neural network|art ...irst7 = Yoshua| last8 = Courville| first8 = Aaron| title = On the Spectral Bias of Neural Networks| book-title = Proceedings of the 36th International Conf ...15 KB (2,162 words) - 21:28, 17 January 2025
- '''Bias in the introduction of variation''' ("arrival bias") is a theory in the domain of [[evolutionary biology]] that asserts biases ...s on introduction events, [[mutation bias|mutational]] and [[developmental bias]]es in the generation of variation may influence the course of evolution by ...118 KB (16,971 words) - 12:51, 24 February 2025
- [[File:Chebyshev bias.svg|thumb|Plot of the function <math>\pi(x;4,3)-\pi(x;4,1)</math> for ''n'' In [[number theory]], '''Chebyshev's bias''' is the phenomenon that most of the time, there are more [[prime number|p ...7 KB (883 words) - 20:55, 22 October 2023
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- The '''zero-bias transform''' is a transform from one [[probability distribution]] to anothe ...sider a random variable ''T'' with mean zero and variance ''σ²''. The zero bias transform of its [[Probability density function|density function]] {{math|' ...4 KB (583 words) - 13:37, 17 December 2024
- ...s visibility to the overall achievement of the plan and the total business bias. The time period of shipping activity should be compared against the foreca Used together with forecast accuracy and [[forecast bias]] to have a complete view of the impact of forecasting errors on operations ...3 KB (417 words) - 16:47, 24 December 2024
- ...effective number of codons]]' (Nc), which measure deviation from a uniform bias (null hypothesis), CAI measures the deviation of a given protein coding gen * [[Codon usage bias]] ...3 KB (441 words) - 16:02, 31 October 2024
- ...rs for linear functions]] and is solved by [[small-bias sample space|small-bias generators]]. {{harvtxt|Bogdanov|Viola|2007}} conjectured that the sum of small-bias generators fools low-degree polynomials and were able to prove this under t ...4 KB (582 words) - 09:11, 14 July 2024
- ...known as '''mean signed deviation''', '''mean signed error''', or '''mean bias error'''<ref>{{cite journal |last=Willmott |first=C. J. |year=1982 |title=S ...difference is a useful tool to understand the direction of the estimator's bias. ...3 KB (495 words) - 05:41, 25 November 2024
- ...a result, the formula can be used as a measure of the [[bias (statistics)|bias]] in the forecasts. ...2 KB (247 words) - 17:13, 30 October 2023
- {{Short description|Cognitive bias}} ...revise one's belief insufficiently when presented with new evidence. This bias describes human [[belief revision]] in which people over-weigh the [[prior ...5 KB (694 words) - 22:19, 7 July 2024
- ==Modification for bias== ...the Monte Carlo bias should be considered, especially when n is large, the bias is getting large: ...4 KB (619 words) - 17:21, 21 February 2025
- ...stics|nonparametric]] situations, involving separate estimation of squared bias and variance, leading to estimated precision <math> \hat r_j </math>. In th ...nd small variance in an optimal fashion. The main difficulty lies with the bias <math> b_j </math>, as it involves the distance from the expected value of ...6 KB (892 words) - 09:26, 5 October 2022
- ...d be gender, race, or any other characteristics that we want to be free of bias, while <math>Y</math> would be whether the person is qualified for the degr [[Category:Bias]] ...2 KB (357 words) - 18:18, 13 May 2024
- ...e "'''good controls'''" and need to be included to remove omitted variable bias.<ref name=Cinelli2020/><ref name=Angrist2014/><ref name=Angrist2008/> This ...on-causal path <math>E \to L \leftarrow I \to W</math> and thus a collider bias.]] ...5 KB (748 words) - 12:05, 7 May 2024
- The algorithm deforms the physical potential energy surface by introducing a bias energy, such that the total potential energy is defined as :<math>U_{tot}(\mathbf{r})=U_{phys}(\mathbf{r}) +U_{bias}^{LE}(\mathbf{Q};t) </math> ...8 KB (1,120 words) - 08:26, 25 October 2023
- ...(''p''+1:''q'') game and the (p:q-1) game. Avoider-Enforcer games are not bias-monotonic: taking more elements is not always a ''dis''advantage. For examp ...nd Enforcer has to pick at least ''q'' elements each turn; this variant is bias-monotonic.'''<ref name="pg14" />'''{{Rp|45-46}} ...4 KB (630 words) - 03:46, 20 May 2024
- ...ith the differences being sufficiently small that different definitions of bias produce different results.<ref name=":22">{{Cite journal |last=Ernst |first To measure the bias of a certain apportionment method M, one can check, for each pair of entitl ...9 KB (1,495 words) - 15:09, 26 February 2025
- The tracking signal is a simple indicator that forecast bias is present in the forecast model. It is most often used when the validity o ...r ''M<sub>t</sub>''. Therefore, a large tracking signal value indicates a bias in the forecast. For example, with a ''β'' of 0.1, a value of ''T<sub ...4 KB (695 words) - 21:23, 14 November 2024
- # In any network, the bias can be reduced at the cost of increased variance # In a group of networks, the variance can be reduced at no cost to the bias. ...6 KB (952 words) - 16:06, 18 November 2024
- {{Short description|Cognitive bias}} '''Time-saving bias''' is a concept that describes people's tendency to misestimate the time th ...8 KB (1,220 words) - 18:45, 31 October 2024
- .../ref> package, <code>cramerV()</code> also offers an option to correct for bias. It applies the correction described in the following section. ==Bias correction== ...7 KB (1,029 words) - 21:47, 28 March 2024
- ...“got off to a flying start”,<ref name="Nee POTPa" /> and this statistical bias creates an [[illusion]] of a true slow-down of diversification rate through == Survivorship bias in diversification == ...9 KB (1,473 words) - 03:58, 21 October 2024
- ...g amplifier configurations. [[FET]]-input op-amps tend to have lower input bias currents than [[bipolar junction transistor|bipolar]]-input op-amps, and he ...3 KB (508 words) - 04:50, 1 December 2023