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Page 389 of Genetics Vol. 168, Issue 1 [page]

2004 Genetics  
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

Julien Vollering, Rune Halvorsen, Inger Auestad, Knut Rydgren
2019 Ecography  
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

R. Sainudiin
2004 Genetics  
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]

Stephen Dignum, Riccardo Poli
2008 Lecture Notes in Computer Science  
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

Simeon Realov, Kenneth L. Shepard
2010 2010 International Electron Devices Meeting  
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]

K. G. Fedorov, A. L. Pankratov
2006 arXiv   pre-print
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

Marjorie L. Whitmore, Randall E. Schumacker
1999 Educational and Psychological Measurement  
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

Jessica K. Witt, J. Eric T. Taylor, Mila Sugovic, John T. Wixted
2016 Journal of Vision  
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  
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

C. Guarcello, D. Valenti, G. Augello, B. Spagnolo
2013 Acta Physica Polonica B  
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  
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

P Juneau
2013 Value in Health  
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

K. Chan, A. Willan, M. Gupta, E. Pullenayegum
2013 Value in Health  
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

Y Oluboyede
2013 Value in Health  
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

A.F. Magyar, B. Wang, W.E. Furnback
2013 Value in Health  
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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