taraflı, eğilimli, önyargılı, etki altında kalmış, etkile, peşin hükümlü, etkilenmiş, eğilimli,v.etkile:adj.sapmalı, yanlı, önyargı, çapraz, aleyhte etkilemek, meyilli, şev, taraf tutma, önyargılı olmak, verev, Amythaon'un oğlu. Melanpous'un kardeşi, fikrini yönlendirmek, etki, bias, öngerilim, eğilim, sapma, peşin hüküm, sapmak, verev olarak, çapraz olarak, yanılma, meyilli olarak, aklını çelmek, etki altında bırakmak, tarafgirlik, meyil, bayas, çapraz katlı, kıvrımlı yol (bowling), önyargılı davranmasına neden olmak, eğilim,v.etkile:n.önyargı, (fiil)rev olarak, çapraz olarak, meyilli olarak, yanlılık, (fiil)rev, çapraz, meyilli, 1. (birini) (belirli bir şekilde) etkilemek: They tried to bias me against him. Beni onun aleyhine, şevli, taraflılık, önyargılı kılmak, tarafgir, çarpıklık, konvansiyonel, ön yargı, bir tarafı tercih, eğilim/önyargı, meylettirmek, temayül, aleyhte tesir etmek, önyargılı kıl, eğiklik,
1
taraflı
ts
2
eğilimli
ts
3
önyargılı
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4
etki altında kalmış
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5
etkile fiil
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6
peşin hükümlü
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7
etkilenmiş
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8
eğilimli,v.etkile:adj.sapmalı
ts
9
yanlı
ts
10
bias
önyargı
ts
11
bias
çapraz
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12
bias
aleyhte etkilemek fiil
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13
bias
meyilli
ts
14
bias
şev
ts
15
bias
taraf tutma
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16
be biased
önyargılı olmak
ts
17
bias
verev
ts
18
Bias
Amythaon'un oğlu. Melanpous'un kardeşi Mitoloji
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bias
fikrini yönlendirmek
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20
bias
etki İnşaat
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21
bias
bias Tıp
ts
22
bias
öngerilim
ts
23
bias
eğilim
ts
24
bias
sapma
ts
25
bias
peşin hüküm
ts
26
bias
sapmak
ts
27
bias
verev olarak
ts
28
bias
çapraz olarak
ts
29
bias
yanılma
ts
30
bias
meyilli olarak
ts
31
bias
aklını çelmek
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32
bias
etki altında bırakmak
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33
bias
tarafgirlik Ticaret
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34
bias
meyil
ts
35
bias
bayas
ts
36
bias
çapraz katlı Otomotiv
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37
bias
kıvrımlı yol (bowling) isim
ts
38
bias
önyargılı davranmasına neden olmak fiil
ts
39
bias
eğilim,v.etkile:n.önyargı
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40
bias
(fiil)rev olarak, çapraz olarak, meyilli olarak
ts
41
bias
yanlılık
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42
bias
(fiil)rev, çapraz, meyilli
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43
bias
1. (birini) (belirli bir şekilde) etkilemek: They tried to bias me against him. Beni onun aleyhine fiil
angled at a slant, Simple past tense and past participle of bias, exhibiting bias; prejudiced, Past tense of bias, favoring one person or side over another; "a biased account of the trial"; "a decision that was partial to the defendant, If someone is biased, they prefer one group of people to another, and behave unfairly as a result. You can also say that a process or system is biased. He seemed a bit biased against women in my opinion The judge was biased. = prejudiced, If something is biased towards one thing, it is more concerned with it than with other things. University funding was tremendously biased towards scientists, prejudiced, having preconceptions, excessively devoted to one faction, With respect to generation of random or pseudo-random numbers, a process is biased if the occurrence of some numbers and/or patterns is more likely than others [x917-85][x919], Favoring one attribute or characteristic more than another, favoring one person or side over another; "a biased account of the trial"; "a decision that was partial to the defendant", One of the Seven Sages of Greece from Priene living in the 6th century BC, the diagonal line between warp and weft in a woven fabric, inclination towards something; predisposition, partiality, prejudice, preference, predilection, In the game of crown green bowls: a weight added to one side of a bowl so that as it rolls, it will follow a curved rather than a straight path; the oblique line followed by such a bowl; the lopsided shape or structure of such a bowl, a voltage or current applied for example to a transistor electrode, To place bias upon; to influence, the difference between the expectation of the sample estimator and the true population value, which reduces the representativeness of the estimator by systematically distorting it, The degree of correspondence between the mean forecast (<f>) and the mean observation (<x>) This type of bias is also known as overall bias, systematic bias, or unconditional bias The mean error is a measure of the overall forecast bias for continuous and probabilistic forecasts A measure of bias for categorical forecasts is equal to the total number of event forecasts (hits + false alarms) divided by the total number of observed events With respect to the 2x2 verification problem example outlined in the definition of contingency table, bias= (A+B)/(A+C), In a slanting manner; crosswise; obliquely; diagonally; as, to cut cloth bias, To incline to one side; to give a particular direction to; to influence; to prejudice; to prepossess, Cut slanting or diagonally, as cloth, A slant; a diagonal; as, to cut cloth on the bias, prejudice; tendency, leaning, slanting diagonally across the grain of a fabric; "a bias fold, Any difference between the true value and that actually obtained due to all causes other than sampling variability, The systematic or persistent distortion of a measurement process, which causes errors in one direction (i e , the expected sample measurement is different from the sample's true value), systematic distortion that may be due to measurement error, method of selecting the sample, Inclined to one side; swelled on one side, A wedge-shaped piece of cloth taken out of a garment (as the waist of a dress) to diminish its circumference, Diagonal direction of cloth Ties should be cut on the bias (especially the blade) otherwise the tie will twist when worn, A weight on the side of the ball used in the game of bowls, or a tendency imparted to the ball, which turns it from a straight line, A leaning of the mind; propensity or prepossession toward an object or view, not leaving the mind indifferent; bent; inclination, A set of results consistently above or below an established centerline that indicates the need for corrective action, a partiality that prevents objective consideration of an issue or situation cause to be biased influence in an unfair way; "you are biasing my choice by telling me yours", In a neural network, bias refers to the constant terms in the model (Note that bias has a different meaning to most data analysts ) Also see precision, cause to be biased, a false association that results from to the failure to account for some skewing or influencing factor, or a tendency for the observed results to deviate from the "true" results Bias distorts results in a particular direction For example, if an investigator in a clinical trial believes the drug under study to be effective and knows which participants are receiving the drug, bias may influence his/her observations in favor of positive results, In a CCD camera system, the minimum intensity required for each exposure (equivalent to performing a zero-second exposure with the shutter closed) Without adding any light, the bias allows charge to be read out on the CCD while raising the intensity level high enough to ensure that the camera does not deliver a negative number to the A/D converter (The A/D converter only works in the set of positive numbers and has no instructions for processing negative numbers ) The bias, which is not user selectable, is set at the factory and remains stable over the lifetime of the camera system See CCD readout, Bias occurs when problems in study design lead to effects that are not related to the variables being studied An example is selection bias, which occurs when study subjects are chosen in a way that can misleadingly increase or decrease the strength of an association Choosing experimental and control group subjects from different populations would result in a selection bias, Deviation of results or inferences from the truth, or processes leading to such systematic deviation Any trend in the collection, analysis, interpretation, publication, or review of data that can lead to conclusions that are systematically different from the truth, influence in an unfair way; "you are biasing my choice by telling me yours", a line or cut across a fabric that is not at right angles to a side of the fabric, Bias is a tendency to prefer one person or thing to another, and to favour that person or thing. Bias against women permeates every level of the judicial system There were fierce attacks on the BBC for alleged political bias. = prejudice, prejudice, influence opinions, Bias is a concern with or interest in one thing more than others. The Department has a strong bias towards neuroscience, To bias someone means to influence them in favour of a particular choice. We mustn't allow it to bias our teaching. to unfairly influence attitudes, choices, or decisions, a partiality that prevents objective consideration of an issue or situation, This is any factor which might change the results of a study from what they would have been if that factor were NOT present The direction of bias may be unpredictable For example, giving a team a ten point advantage might seem to give that side an advantage but some teams actually play much better when they have to come from behind! The validity of a study is integrally related to the likelihood that the results have been biased by factors extraneous to the study design, slanting diagonally across the grain of a fabric; "a bias fold", In a sampling context, the difference between the conceptual weighted average value of an estimator over all possible samples and the true value of the quantity being estimated An estimator is said to be unbiased if that difference is zero The "systematic or persistent distortion of a measurement process which deprives the result of representativeness (i e , the expected sample measurement is different than the sample's true value) A data quality indicator" (QAMS 1993, 3), the systematic tendency of any factors associated with the design, conduct, analysis and evaluation of the results of a clinical trial to make the estimate of a treatment effect deviate from its true value Bias introduced through deviations in conduct is referred to as 'operational' bias The other sources of bias listed above are referred to as 'statistical', Deviation of results or inferences from the truth, or processes leading to such deviation, A tendency to misrepresent The term bias is used in statistics to refer to how far the average statistic lies from the parameter it is estimating, that is, the error that arises when estimating a quantity Errors from chance will cancel each other out in the long run, those from bias will not, When the evaluation design fails to capture the true population and implementation characteristics, thus rendering the results un-generalizable, A non-chance event arising from faults in study design or measurement or data collection Bias may prejudice results in that traditional statistical analysis may be precluded or unreliable Bias may be introduced into a study by many factors including subject selection, follow-up, study factor choice, unmasked data collection, temporal trends in disease, co-management of disease if not concurrent in time, ecological fallacy, retrieval methods, play of chance, publication choice or prejudice of investigators, (refers to statistical bias): Inaccurate representation that produces systematic error in a research finding Bias may result in overestimating or underestimating certain characteristics of the population It may result from incomplete information or invalid collection methods, and may be intentional or unintentional, In feedforward and some other neural networks, each hidden unit and each output unit is connected via a trainable weight to a unit (the bias unit) that always has an activation level of -1 This has the effect of giving each hidden or output a trainable threshold, equal to the value of the weight from the bias unit to the unit, A systematic tendency of a sample to misrepresent the population Biases may be caused by improper representation of the population in the sample, interviewing techniques, wording of questions, data entry, etc, A characteristic of a test that could reduce the chances for identifiable sub-populations to receive scores that accurately reflect their abilities to respond to the skill being measured Common sources of bias may be related to language, cultural, or gender differences Example: A mathematics word problem that contains difficult language may be biased against English language learners Inadequate performance may not be due to a lack of mathematical ability, but rather a lack of English language skills, (1) a systematic tendency toward a lack of objectivity, fairness, or impartiality on the part of the assessor or evaluator, often based on personal preferences and inclinations (2) systematic error in the assessment instrument and procedures, or in the interpretation and evaluation process See Contamination, Differential Functioning, Error of Measurement, Fairness, Rater Effect, Extent to which, over repeated samples, the mean of the sampling distribution differs from the true mean Bias is generally hard to quantify, but is likely to increase if the sampling frame is deficient and/or the response rate is low, Deviation of results or inferences from the truth It can occur at any stage of a study from its design to the application of the information obtained from the study Bias can be reduced by proper study design and execution and not by increasing sample size Almost all studies have bias, but to varying degrees The key question is whether or not the results could be due in large part to bias, thus making the conclusions invalid Observational study designs are inherently more susceptible to bias than are experimental study designs The main categories are, The existence of a selective factor that will operate to determine the content of the sample in a particular way Generally, bias is an effect which deprives a statistical result of representatives by systematically distorting it, as compared to a random error which may distort on any one occasion, but which tends to balance on the average An example of the possibility of introducing a bias in sample results is to take a sample from a purchase journal where every tenth line is a utility bill A systematic sample with a sampling interval of (10) or some multiple of (10) will include either all utility bills or none Another example would be the selection for testing only those items which are simple to test or easy to locate,
58
angled at a slant - "The table had a biased edge."
ts
59
Simple past tense and past participle of bias - "She biased them against him for no apparent reason."
ts
60
exhibiting bias; prejudiced - "The newspaper gave a biased account of the incident."
ts
61
Past tense of bias
ts
62
favoring one person or side over another; "a biased account of the trial"; "a decision that was partial to the defendant
ts
63
If someone is biased, they prefer one group of people to another, and behave unfairly as a result. You can also say that a process or system is biased. He seemed a bit biased against women in my opinion The judge was biased. = prejudiced
ts
64
If something is biased towards one thing, it is more concerned with it than with other things. University funding was tremendously biased towards scientists
ts
65
prejudiced, having preconceptions sıfat
ts
66
excessively devoted to one faction
ts
67
With respect to generation of random or pseudo-random numbers, a process is biased if the occurrence of some numbers and/or patterns is more likely than others [x917-85][x919]
ts
68
Favoring one attribute or characteristic more than another
ts
69
favoring one person or side over another; "a biased account of the trial"; "a decision that was partial to the defendant"
ts
70
Bias
One of the Seven Sages of Greece from Priene living in the 6th century BC
ts
71
bias
the diagonal line between warp and weft in a woven fabric
ts
72
bias
inclination towards something; predisposition, partiality, prejudice, preference, predilection - "nature has pointed out a mixed kind of life as most suitable to the human race, and secretly admonished them to allow none of these biasses to draw too much"
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73
bias
In the game of crown green bowls: a weight added to one side of a bowl so that as it rolls, it will follow a curved rather than a straight path; the oblique line followed by such a bowl; the lopsided shape or structure of such a bowl
ts
74
bias
a voltage or current applied for example to a transistor electrode
ts
75
bias
To place bias upon; to influence - "Our prejudices bias our views."
ts
76
bias
the difference between the expectation of the sample estimator and the true population value, which reduces the representativeness of the estimator by systematically distorting it
ts
77
bias
The degree of correspondence between the mean forecast (<f>) and the mean observation (<x>) This type of bias is also known as overall bias, systematic bias, or unconditional bias The mean error is a measure of the overall forecast bias for continuous and probabilistic forecasts A measure of bias for categorical forecasts is equal to the total number of event forecasts (hits + false alarms) divided by the total number of observed events With respect to the 2x2 verification problem example outlined in the definition of contingency table, bias= (A+B)/(A+C)
ts
78
bias
In a slanting manner; crosswise; obliquely; diagonally; as, to cut cloth bias
ts
79
bias
To incline to one side; to give a particular direction to; to influence; to prejudice; to prepossess
ts
80
bias
Cut slanting or diagonally, as cloth
ts
81
bias
A slant; a diagonal; as, to cut cloth on the bias
ts
82
bias
prejudice; tendency, leaning isim
ts
83
bias
slanting diagonally across the grain of a fabric; "a bias fold
ts
84
bias
Any difference between the true value and that actually obtained due to all causes other than sampling variability
ts
85
bias
The systematic or persistent distortion of a measurement process, which causes errors in one direction (i e , the expected sample measurement is different from the sample's true value)
ts
86
bias
systematic distortion that may be due to measurement error, method of selecting the sample
ts
87
bias
Inclined to one side; swelled on one side
ts
88
bias
A wedge-shaped piece of cloth taken out of a garment (as the waist of a dress) to diminish its circumference
ts
89
bias
Diagonal direction of cloth Ties should be cut on the bias (especially the blade) otherwise the tie will twist when worn
ts
90
bias
A weight on the side of the ball used in the game of bowls, or a tendency imparted to the ball, which turns it from a straight line
ts
91
bias
A leaning of the mind; propensity or prepossession toward an object or view, not leaving the mind indifferent; bent; inclination
ts
92
bias
A set of results consistently above or below an established centerline that indicates the need for corrective action Ticaret
ts
93
bias
a partiality that prevents objective consideration of an issue or situation cause to be biased influence in an unfair way; "you are biasing my choice by telling me yours"
ts
94
bias
In a neural network, bias refers to the constant terms in the model (Note that bias has a different meaning to most data analysts ) Also see precision
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95
bias
cause to be biased
ts
96
bias
a false association that results from to the failure to account for some skewing or influencing factor, or a tendency for the observed results to deviate from the "true" results Bias distorts results in a particular direction For example, if an investigator in a clinical trial believes the drug under study to be effective and knows which participants are receiving the drug, bias may influence his/her observations in favor of positive results
ts
97
bias
In a CCD camera system, the minimum intensity required for each exposure (equivalent to performing a zero-second exposure with the shutter closed) Without adding any light, the bias allows charge to be read out on the CCD while raising the intensity level high enough to ensure that the camera does not deliver a negative number to the A/D converter (The A/D converter only works in the set of positive numbers and has no instructions for processing negative numbers ) The bias, which is not user selectable, is set at the factory and remains stable over the lifetime of the camera system See CCD readout
ts
98
bias
Bias occurs when problems in study design lead to effects that are not related to the variables being studied An example is selection bias, which occurs when study subjects are chosen in a way that can misleadingly increase or decrease the strength of an association Choosing experimental and control group subjects from different populations would result in a selection bias
ts
99
bias
Deviation of results or inferences from the truth, or processes leading to such systematic deviation Any trend in the collection, analysis, interpretation, publication, or review of data that can lead to conclusions that are systematically different from the truth
ts
100
bias
influence in an unfair way; "you are biasing my choice by telling me yours"
ts
101
bias
a line or cut across a fabric that is not at right angles to a side of the fabric
ts
102
bias
Bias is a tendency to prefer one person or thing to another, and to favour that person or thing. Bias against women permeates every level of the judicial system There were fierce attacks on the BBC for alleged political bias. = prejudice
ts
103
bias
prejudice, influence opinions fiil
ts
104
bias
Bias is a concern with or interest in one thing more than others. The Department has a strong bias towards neuroscience
ts
105
bias
To bias someone means to influence them in favour of a particular choice. We mustn't allow it to bias our teaching. to unfairly influence attitudes, choices, or decisions
ts
106
bias
a partiality that prevents objective consideration of an issue or situation
ts
107
bias
This is any factor which might change the results of a study from what they would have been if that factor were NOT present The direction of bias may be unpredictable For example, giving a team a ten point advantage might seem to give that side an advantage but some teams actually play much better when they have to come from behind! The validity of a study is integrally related to the likelihood that the results have been biased by factors extraneous to the study design
ts
108
bias
slanting diagonally across the grain of a fabric; "a bias fold"
ts
109
bias
In a sampling context, the difference between the conceptual weighted average value of an estimator over all possible samples and the true value of the quantity being estimated An estimator is said to be unbiased if that difference is zero The "systematic or persistent distortion of a measurement process which deprives the result of representativeness (i e , the expected sample measurement is different than the sample's true value) A data quality indicator" (QAMS 1993, 3)
ts
110
bias
the systematic tendency of any factors associated with the design, conduct, analysis and evaluation of the results of a clinical trial to make the estimate of a treatment effect deviate from its true value Bias introduced through deviations in conduct is referred to as 'operational' bias The other sources of bias listed above are referred to as 'statistical'
ts
111
bias
Deviation of results or inferences from the truth, or processes leading to such deviation
ts
112
bias
A tendency to misrepresent The term bias is used in statistics to refer to how far the average statistic lies from the parameter it is estimating, that is, the error that arises when estimating a quantity Errors from chance will cancel each other out in the long run, those from bias will not
ts
113
bias
When the evaluation design fails to capture the true population and implementation characteristics, thus rendering the results un-generalizable
ts
114
bias
A non-chance event arising from faults in study design or measurement or data collection Bias may prejudice results in that traditional statistical analysis may be precluded or unreliable Bias may be introduced into a study by many factors including subject selection, follow-up, study factor choice, unmasked data collection, temporal trends in disease, co-management of disease if not concurrent in time, ecological fallacy, retrieval methods, play of chance, publication choice or prejudice of investigators
ts
115
bias
(refers to statistical bias): Inaccurate representation that produces systematic error in a research finding Bias may result in overestimating or underestimating certain characteristics of the population It may result from incomplete information or invalid collection methods, and may be intentional or unintentional
ts
116
bias
In feedforward and some other neural networks, each hidden unit and each output unit is connected via a trainable weight to a unit (the bias unit) that always has an activation level of -1 This has the effect of giving each hidden or output a trainable threshold, equal to the value of the weight from the bias unit to the unit
ts
117
bias
A systematic tendency of a sample to misrepresent the population Biases may be caused by improper representation of the population in the sample, interviewing techniques, wording of questions, data entry, etc
ts
118
bias
A characteristic of a test that could reduce the chances for identifiable sub-populations to receive scores that accurately reflect their abilities to respond to the skill being measured Common sources of bias may be related to language, cultural, or gender differences Example: A mathematics word problem that contains difficult language may be biased against English language learners Inadequate performance may not be due to a lack of mathematical ability, but rather a lack of English language skills
ts
119
bias
(1) a systematic tendency toward a lack of objectivity, fairness, or impartiality on the part of the assessor or evaluator, often based on personal preferences and inclinations (2) systematic error in the assessment instrument and procedures, or in the interpretation and evaluation process See Contamination, Differential Functioning, Error of Measurement, Fairness, Rater Effect
ts
120
bias
Extent to which, over repeated samples, the mean of the sampling distribution differs from the true mean Bias is generally hard to quantify, but is likely to increase if the sampling frame is deficient and/or the response rate is low
ts
121
bias
Deviation of results or inferences from the truth It can occur at any stage of a study from its design to the application of the information obtained from the study Bias can be reduced by proper study design and execution and not by increasing sample size Almost all studies have bias, but to varying degrees The key question is whether or not the results could be due in large part to bias, thus making the conclusions invalid Observational study designs are inherently more susceptible to bias than are experimental study designs The main categories are
ts
122
bias
The existence of a selective factor that will operate to determine the content of the sample in a particular way Generally, bias is an effect which deprives a statistical result of representatives by systematically distorting it, as compared to a random error which may distort on any one occasion, but which tends to balance on the average An example of the possibility of introducing a bias in sample results is to take a sample from a purchase journal where every tenth line is a utility bill A systematic sample with a sampling interval of (10) or some multiple of (10) will include either all utility bills or none Another example would be the selection for testing only those items which are simple to test or easy to locate
Some etymologies, pronunciations, function and usage date content for the English translation portion are from Merriam-Webster Online at www.Merriam-Webster.com. Thanks to Online Yunanca Dil Eğitimi for providing some parts of online greek dictionary. To contribute more resources please contact us. Visuals(images) are provided by Google Image Search API. Some parts of the dictionary is contributed by many users, thank you! The content on this site is for informational purposes only. Bu aramada biased kelimesinin sözlük anlamı ve eşanlamı nedir, nasıl okunur hakkında bilgi verilmektedir. biased kelimesinin etimolojik ve eşanlamları ile ilgili açıklamalar ve bilgiler eksiksiz ve hatasız olarak anılmamalıdır. Burada yer alan biased kelimesi ile ilgili tüm açıklamalar bilgi amaçlıdır. Eksik ve hatalı çevirileri lütfen bildiriniz.
