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Page 389 of Genetics Vol. 168, Issue 1
[page]
2004
Genetics
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In the presence of linear bias, the LRTS is asymptotically distributed as xj under the null hypothesis (see Figure 6D; Table 3). ...
mutation pros ess,
lo determine the relevance of rate proportionality in the presence of mutational bias two more LRTs are performed. ...
Bunching up the background betters bias in species distribution models
2019
Ecography
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In the simulation, background thickening performed better than presence thinning when the number of simulated presence locations was low, and vice versa. ...
As a result, sampling probability is geographically uneven, which may confound the model's characterization of the species' distribution. ...
Acknowledgements -Thank you to members of the Geo-Ecology research group at the Natural History Museum, Univ. of Oslo, for comments on early results of this work. ...
doi:10.1111/ecog.04503
fatcat:pikrmvpxxjfihmvm4deaxjpz4y
Microsatellite Mutation Models: Insights From a Comparison of Humans and Chimpanzees
2004
Genetics
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The performance of models based on the fit of their stationary distributions to the empirical distribution of microsatellite lengths in the human genome is consistent with that based on the human-chimp ...
A focal length toward which the mutational and/or substitutional process is linearly biased is a crucial feature of microsatellite evolution. ...
Upon interruption, they are less likely to mutate and thereby contract, due to linear bias toward LITERATURE CITED the focal length, as much as the pure repeats. Amos, W., S. J. Sawcer, R. W. ...
doi:10.1534/genetics.103.022665
pmid:15454551
pmcid:PMC1448085
fatcat:x4rabkr7nbhnbooxnobtojbk6u
Crossover, Sampling, Bloat and the Harmful Effects of Size Limits
[chapter]
2008
Lecture Notes in Computer Science
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So, practically the length bias of subtree crossover remains unknown. ...
This paper starts to fill this theoretical gap, by providing accurate estimates of the limiting distribution of lengths approached by tree-based GP with standard crossover in the absence of selection pressure ...
Unfortunately, we don't have a mathematical model for the limit distribution of sizes (neither in terms of internal nodes nor in terms of lengths) in the presence of length limits. ...
doi:10.1007/978-3-540-78671-9_14
fatcat:4dqawyv3l5bqnojva2ffxrh5oy
Random telegraph noise in 45-nm CMOS: Analysis using an on-chip test and measurement system
2010
2010 International Electron Devices Meeting
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Complex RTN magnitude is statistically modeled, and device size and bias parameter dependencies of the developed model are examined. ...
RTN measurements in 45-nm CMOS across device bias and geometry using an on-chip characterization system are reported. ...
Acknowledgments This work was supported in part by the Semiconductor Research Corporation. ...
doi:10.1109/iedm.2010.5703436
fatcat:3tzgb2wecff5pemjc7lnz2m4v4
Life time of superconductive state in long overlap Josephson junction
[article]
2006
arXiv
pre-print
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The mean voltage versus junction length behaves inversely in comparison with MLT. ...
It has been demonstrated that for the case of constant critical current density the mean life time (MLT) of superconductive state increases with increasing the junction's length and for homogeneous bias ...
So, the influence of the second mechanism on the life time for the inhomogeneous bias current distribution is larger in comparison with the homogeneous one. ...
arXiv:cond-mat/0607757v2
fatcat:vaqvi2tfh5dapgar3x3hqu3k64
A Comparison of Logistic Regression and Analysis of Variance Differential Item Functioning Detection Methods
1999
Educational and Psychological Measurement
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Effect of sample size, number of biased items, and magni- tude of bias on a two-stage item bias estimation method. Applied Psychological Measure- ment, 16, 381-388.
Osterlind, S.J. (1983). ...
Bias in testing can be divided into two subcategories: selection bias and item bias (Cleary & Hilton, 1968). ...
doi:10.1177/00131649921970251
fatcat:7qkwdhlfhjesta6cwzrkl3lnem
Further clarifying signal detection theoretic interpretations of the Müller–Lyer and sound-induced flash illusions
2016
Journal of Vision
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Acknowledgments This work was supported by a grant from the National Science Foundation (BCS-1348916) to JKW. ...
And in our concluding summary, we said ''. . .both perceptual biases and decision-based biases exert their influence on the criterion measure of c. . .An influence on c implies a bias, but the nature of ...
The vertical line represents the point of complete uncertainty as to the presence of one or two flashes. ...
doi:10.1167/16.11.19
pmid:27690159
fatcat:e2yos7rb2nd6hlwmvjytics5xa
Page 16 of New Directions for Testing and Measurement Vol. , Issue 12
[page]
1981
New Directions for Testing and Measurement
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The presence of such items in group comparisons could lead to overestimates of the rank-order correlations. ...
Both product- moment and rank-order correlations were obtained between the unbiased item set and each of the two biased item sets for each combination of test length and item difficulty distribution. ...
The Role of Non-Gaussian Sources in the Transient Dynamics of Long Josephson Junctions
2013
Acta Physica Polonica B
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We find nonmonotonic behavior of the mean escape time as a function of the noise intensity and frequency of the external driving signal for all the noise sources investigated. ...
We analyze the effects of different non-Gaussian noise sources on the transient dynamics of an overdamped long Josephson junction. ...
Two-dimensional projections of the potential are shown in Fig. 1 , for the two values of bias current considered and at three different times. ...
doi:10.5506/aphyspolb.44.997
fatcat:jghwabh23jbzfnktbyemjoklti
Page 149 of European Journal of Cancer Care Vol. 12, Issue 2
[page]
2003
European Journal of Cancer Care
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Lead time and length bias
Length-bias and lead time remain two important consid- erations in depicting the impact of screening on mortality from breast cancer. ...
these populations, the remaining two-thirds being due to lead time, length-time biasing and other factors). ...
A caution about using sample means to estimate incremental costs for expenditures that follow a traditional gamma distribution with parameters for scale and shape
2013
Value in Health
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RESULTS: In general, the WIME is a biased estimator of μ; this bias is the same for all sample sizes. Simple bounds for the bias can derived. ...
In the case of the normal distribution, equal-length intervals produce estimates with seemingly no bias and variance slightly above that of the sample mean as opposed to a non-equal-length configuration ...
RESULTS: In general, the WIME is a biased estimator of μ; this bias is the same for all sample sizes. Simple bounds for the bias can derived. ...
doi:10.1016/j.jval.2013.03.277
fatcat:te7emupxx5apxcjdpf3sjybvri
Underestimation of uncertainties in health utilities dervied from mapping algorithms involving health-related quality of life measures: statistical explanations and potential remedies
2013
Value in Health
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RESULTS: In general, the WIME is a biased estimator of μ; this bias is the same for all sample sizes. Simple bounds for the bias can derived. ...
In the case of the normal distribution, equal-length intervals produce estimates with seemingly no bias and variance slightly above that of the sample mean as opposed to a non-equal-length configuration ...
RESULTS: In general, the WIME is a biased estimator of μ; this bias is the same for all sample sizes. Simple bounds for the bias can derived. ...
doi:10.1016/j.jval.2013.03.275
fatcat:42dv6vt5xvbrvmuvizs3dng74y
Using classical psychometric testing and rasch analysis to refine a new weight specific quality of life measure for adolescents
2013
Value in Health
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RESULTS: In general, the WIME is a biased estimator of μ; this bias is the same for all sample sizes. Simple bounds for the bias can derived. ...
In the case of the normal distribution, equal-length intervals produce estimates with seemingly no bias and variance slightly above that of the sample mean as opposed to a non-equal-length configuration ...
RESULTS: In general, the WIME is a biased estimator of μ; this bias is the same for all sample sizes. Simple bounds for the bias can derived. ...
doi:10.1016/j.jval.2013.03.278
fatcat:m4am7zn2kjat5fejo3cehp3liq
Using the weighted interval midpoint estimator (wime) to estimate a population mean from interval data
2013
Value in Health
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RESULTS: In general, the WIME is a biased estimator of μ; this bias is the same for all sample sizes. Simple bounds for the bias can derived. ...
In the case of the normal distribution, equal-length intervals produce estimates with seemingly no bias and variance slightly above that of the sample mean as opposed to a non-equal-length configuration ...
RESULTS: In general, the WIME is a biased estimator of μ; this bias is the same for all sample sizes. Simple bounds for the bias can derived. ...
doi:10.1016/j.jval.2013.03.276
fatcat:q673o77bcvb47ijllzcbgkgrpi
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