önyargı, çapraz, meyilli, aleyhte etkilemek, yanlı, taraf tutma, şev, verev, Amythaon'un oğlu. Melanpous'un kardeşi, fikrini yönlendirmek, taraflı, öngerilim, bias, etki, etki altında bırakmak, sapma, peşin hüküm, sapmak, verev olarak, çapraz olarak, yanılma, meyilli olarak, aklını çelmek, tarafgirlik, eğilim, meyil, bayas, konvansiyonel, kıvrımlı yol (bowling), etkile, 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, çapraz katlı, çarpıklık, ön yargı, bir tarafı tercih, eğilim/önyargı, meylettirmek, temayül, aleyhte tesir etmek, önyargılı kıl, eğiklik, eğilimli, önyargılı, etki altında kalmış, peşin hükümlü, önyargıları, önyargı için, etkilenmiş, eğilimli,v.etkile:adj.sapmalı,
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önyargı
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çapraz
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meyilli
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aleyhte etkilemek fiil
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yanlı Ticaret
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taraf tutma
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şev
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verev
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Amythaon'un oğlu. Melanpous'un kardeşi Mitoloji
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fikrini yönlendirmek
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taraflı Ticaret
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öngerilim
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bias Tıp
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etki İnşaat
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etki altında bırakmak
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sapma
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peşin hüküm
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sapmak
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verev olarak
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çapraz olarak
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yanılma
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meyilli olarak
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aklını çelmek
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tarafgirlik Ticaret
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eğilim
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meyil
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bayas
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konvansiyonel Otomotiv
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kıvrımlı yol (bowling) isim
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etkile fiil
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önyargılı davranmasına neden olmak fiil
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eğilim,v.etkile:n.önyargı
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(fiil)rev olarak, çapraz olarak, meyilli olarak
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yanlılık
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(fiil)rev, çapraz, meyilli
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1. (birini) (belirli bir şekilde) etkilemek: They tried to bias me against him. Beni onun aleyhine fiil
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), prejudice; tendency, leaning, 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, 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", 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, In a slanting manner; crosswise; obliquely; diagonally; as, to cut cloth bias, slanting diagonally across the grain of a fabric; "a bias fold", 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, 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, cause to be biased, 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 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, When the evaluation design fails to capture the true population and implementation characteristics, thus rendering the results un-generalizable, 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, (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, 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 something is biased towards one thing, it is more concerned with it than with other things. University funding was tremendously biased towards scientists, excessively devoted to one faction, prejudiced, having preconceptions, 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], 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, favoring one person or side over another; "a biased account of the trial"; "a decision that was partial to the defendant", Favoring one attribute or characteristic more than another, Plural of bias, present participle of bias,
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One of the Seven Sages of Greece from Priene living in the 6th century BC
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the diagonal line between warp and weft in a woven fabric
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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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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
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a voltage or current applied for example to a transistor electrode
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To place bias upon; to influence - "Our prejudices bias our views."
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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
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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)
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prejudice; tendency, leaning isim
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To incline to one side; to give a particular direction to; to influence; to prejudice; to prepossess
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Cut slanting or diagonally, as cloth
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A slant; a diagonal; as, to cut cloth on the bias
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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"
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slanting diagonally across the grain of a fabric; "a bias fold
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Any difference between the true value and that actually obtained due to all causes other than sampling variability
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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)
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systematic distortion that may be due to measurement error, method of selecting the sample
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Inclined to one side; swelled on one side
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A wedge-shaped piece of cloth taken out of a garment (as the waist of a dress) to diminish its circumference
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Diagonal direction of cloth Ties should be cut on the bias (especially the blade) otherwise the tie will twist when worn
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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
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A leaning of the mind; propensity or prepossession toward an object or view, not leaving the mind indifferent; bent; inclination
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A set of results consistently above or below an established centerline that indicates the need for corrective action Ticaret
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In a slanting manner; crosswise; obliquely; diagonally; as, to cut cloth bias
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slanting diagonally across the grain of a fabric; "a bias fold"
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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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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
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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
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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
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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
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influence in an unfair way; "you are biasing my choice by telling me yours"
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a line or cut across a fabric that is not at right angles to a side of the fabric
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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
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prejudice, influence opinions fiil
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Bias is a concern with or interest in one thing more than others. The Department has a strong bias towards neuroscience
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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
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a partiality that prevents objective consideration of an issue or situation
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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
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cause to be biased
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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)
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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'
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Deviation of results or inferences from the truth, or processes leading to such deviation
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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
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When the evaluation design fails to capture the true population and implementation characteristics, thus rendering the results un-generalizable
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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
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(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
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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
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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
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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
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(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
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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
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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
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112
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
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biased
angled at a slant - "The table had a biased edge."
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biased
Simple past tense and past participle of bias - "She biased them against him for no apparent reason."
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biased
exhibiting bias; prejudiced - "The newspaper gave a biased account of the incident."
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biased
Past tense of bias
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biased
favoring one person or side over another; "a biased account of the trial"; "a decision that was partial to the defendant
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biased
If something is biased towards one thing, it is more concerned with it than with other things. University funding was tremendously biased towards scientists
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biased
excessively devoted to one faction
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biased
prejudiced, having preconceptions sıfat
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121
biased
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]
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biased
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
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biased
favoring one person or side over another; "a biased account of the trial"; "a decision that was partial to the defendant"
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biased
Favoring one attribute or characteristic more than another
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 bias kelimesinin sözlük anlamı ve eşanlamı nedir, nasıl okunur hakkında bilgi verilmektedir. bias kelimesinin etimolojik ve eşanlamları ile ilgili açıklamalar ve bilgiler eksiksiz ve hatasız olarak anılmamalıdır. Burada yer alan bias kelimesi ile ilgili tüm açıklamalar bilgi amaçlıdır. Eksik ve hatalı çevirileri lütfen bildiriniz.
