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PL
W pracy przedstawiono algorytm wyznaczania wymaganego napięcia wstępnego oraz składowych odkształceń dla układu łożyskowego obciążonego siłą zewnętrzną. Metoda polega na wykorzystaniu programu zapisanego w języku Fortran do wygenerowania procedury graficznej zapisanej w języku AutoLISP, pozwalającej na wizualizację uzyskanych wyników obliczeń w środowisku edytora graficznego AutoCAD
EN
The paper presents the algorithm of numerical determine of the necessary assenbly stressing of cone bearing-system with the external force. Fortran language is proposed here as a programming tool to generation of the graphical procedure in AutoLISP, which enables a visualization of the calculation result in the graphical environment of AutoCAD.
PL
W pracy przedstawiono algorytm graficznego wyznaczania wymaganego napięcia wstępnego dla układu łożyskowego obciążonego siłą zewnętrzną. Metoda polega na wykorzystaniu programu zapisanego w języku Fortran do wygenerowania procedury graficznej zapisanej w języku AutoLISP, pozwalającej na wizualizację uzyskanych wyników obliczeń w środowisku edytora graficznego AutoCAD.
EN
The paper presents the algorithm of graphical determine of the necessary assenbly stressing of cone bearing-system with the external force. Fortran language is proposed here as a programming tool to generation of the graphical procedure in AutoLISP, which enables a visualization of the calculation result in the graphical environment of AutoCAD.
EN
The paper presents the influence of the bias current value on the Active Magnetic Bearing force-current characteristic linearity.
EN
The error reduction technique, based on inverse transformation, for a shunt active resistance measurement using an ammeter and voltmeter is considered. When computing a corrected reading only multiplicative operations on two measurement results are used, namely squaring and division. The proposed method allows to increase resistance measurement accuracy by about two orders of magnitude what has been validated by both theoretical and experimental outcomes.
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tom Vol. 49, No. 2
121--138
EN
To address the issue of insufficient accuracy in consumer recommendation systems, a new biased network inference algorithm is proposed based on traditional network inference algorithms. This new network inference algorithm can significantly improve the resource allocation ability of the original one, thereby improving recommendation performance. Then, the performance of this algorithm is verified through comparative experiments with network-based inference algorithms, network inference algorithms with initial resource optimization, and heterogeneous network inference algorithms. The results showed that the accuracy of the new network inference algorithm was 24.5%, which was superior to traditional one. In terms of system performance testing, the recommendation hit rate of the new network inference algorithm increased by 13.97%, which was superior to the other three comparative algorithms. The experimental results indicated that a novel network inference algorithm with bias can improve the performance of consumer recommendation systems, providing new ideas for improving the performance of consumer recommendation systems.
EN
This paper addressed the problem of estimation of finite population mean in the case of post-stratification. Improved separate ratio and product exponential type estimators in the case of post-stratification are suggested. The biases and mean squared errors of the suggested estimators are obtained up to the first degree of approximation. Theoretical and empirical studies have been done to demonstrate better efficiencies of the suggested estimators than other considered estimators.
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2022
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tom 69
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nr 1
39-49
EN
The paper reviews and discusses the statistical aspects of the phenomenon called 'noise' which Daniel Kahneman, the Nobel Prize winning psychologist, and his colleagues present in their new book entitled 'Noise: A Flaw in Human Judgment'. Noise is understood by the authors as an unexpected and undesirable variation present in people's judgments. The variability of judgments influences decisions which are made on the basis of those judgments and, consequently, may have a negative impact on the operations of various institutions. This is the main concern presented and analyzed in this book. The objective of this paper is to look at the relationship between bias and noise - the two major components of the mean squared error (MSE) - from a different perspective which is absent in the book. Although the author agrees that each of the two components contributes equally to MSE, he claims that in some circumstances a reduction of noise can make accurate inference not less, but more difficult. It is justified that the actual impact of noise cannot be accurately determined without considering both bias and noise simultaneously.
8
100%
EN
A single junction amorphous silicon photovoltaic module has been examined using a laser scanning system under different bias conditions. Laser scanning can be used as a tool to investigate non-dstructively cell-to-cell performance and reveal possible material defects undetectable by other methods. In this study the resulting photocurrent maps of the module, generated by the laser scanning system, were very uniform when low or no bias was applied. When high light bias or high forward bias conditions were applied two cells revealed a much higher signal than the other cells in the module. This elevated photocurrent signal has been interpreted as resulting form internal shunting of the cell. It is concluded that laser scanning a thin film amorphous silicon photovoltaic module using high and low or no bias conditions reveals shunted cells in the module. For module cell-to-cell performance investigations low bias is sufficient, with high bias the signal of some cells may be misinterpreted as delivering an exaggerated performance. The results demonstrate that forward current bias reveals comparable results to the use of light bias. The advantage of forward current bias with respect to light bias is that the guestion of uniformity influencing the measurement results is much reduced.
EN
In this paper we consider the problem of estimation of population mean using information on two auxiliary variables in systematic sampling. We have extended Singh (1967) estimator for estimation of population mean in systematic sampling. We have derived the expressions for the bias and mean squared error of the suggested estimator up to the first degree of approximation. We have compared the suggested estimator with existing estimators and obtained the conditions under which the suggested estimator is more efficient. An empirical study has been carried out to demonstrate the performance of the suggested estimator.
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2014
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tom 57
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nr 4
694-706
EN
From primary orality to secondary literacy in the era of the dominance of Internet biasScientists tend to overestimate writing as the primary form of language, while the oral communication is the primary form of the whole communication. The purpose of this article is to draw attention to the crucial role of technologies such as writing in the thought processes and evolution of culture.
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nr 1-2
15-26
EN
The first-order autoregressive model with uniform innovations is considered. The approximate bias of the maximum likelihood estimator (MLE) of the parameter is obtained. Also, a formula for the approximate bias is given when a single outlier occurs at a specified time with a known amplitude. Simulation procedures confirm that our formulas are suitable. A small sample case is considered only.
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tom 13
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nr 3
473-494
EN
In this paper generalized classes of modified ratio type and regression-cum-ratio type estimators of the finite population mean of the study variable are suggested in the presence of two auxiliary variables in simple random sampling without replacement when the population means of the auxiliary variables are known in advance. Some special cases of the generalized estimators are compared with respect to their biases and efficiencies both theoretically and with the help of some natural populations.
13
88%
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2019
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tom 63
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nr 1
71-83
EN
Objectives. Presence of differential item functioning (DIF) in psychological measurement tools can indicate the presence of bias between groups. The present study is focused on analysing DIF between males and females in the Slovak version of NEO Five Factor Inventory (NEO-FFI). Sample and settings. The sample consists of 1016 respondents (40,6% males) from Slovakia, with mean age of 25.97 years (SD=13.42). Statistical analysis. For DIF analysis Mantel’s test in DIFAS 5.0 software, ordinal logistic regression and Poly-SIBTEST were used. Results. The final results show 18 items with medium and large uniform DIF, 6 of them identified by all the methods used. One item showing purely non-uniform DIF was identified. Deletion of identified DIF items caused notable change in scale score differences between males and females in Openness to experience scale. Possible factors causing DIF are discussed. Presence of the identified DIF items does not suggest that NEO-FFI is severely biased against males or females. Limitation. Limitation of the present study lies mainly in the general sample. Future studies should verify these findings on age specific samples.
EN
Objectives This study is analyzing the unexpected reversed or lacking association between high adjustment latitude and sickness presence by examining whether it is due to confounding. Material and Methods Questionnaires were sent in 2004 and 2005 to a cohort of individuals aged 25–50 years, selected from the Statistics Sweden’s register of the Swedish population. Information from 2397 individuals who answered both questionnaires was analyzed by the use of logistic regression analysis. Results The odds ratio for sickness presence among the individuals with a low adjustment latitude compared to those with high adjustment latitude was 1.7 (range: 1.4–2.2). This increased likelihood was almost entirely unaffected in the analysis of potential confounders. Conclusions If the reversed association between adjustment latitude and sickness presence does not reflect confounding, it may be due to reporting bias, which may cause problems in research on sickness presence. We argue that more detailed studies are needed to explore the different sources of possible reporting problems.
15
Content available remote Effect of bias in ferroelectric-antiferroelectric relaxation
88%
EN
The ferroelectric-antiferroelectric transition in greyscale generation of antiferroelectric liquid crystal displays (AFLC) is a heterogeneous process. The process has been described as the growth of finger-like domains [1]. We have previously studied the ferroelectric-antiferroelectric phase transition, relaxation that follows the data pulse in surface stabilized asymmetric antiferroelectric liquid crystal displays using biasless video frequency waveforms [2]. This relaxation involves an intensity decay of the light transmitted by a pixel and depends on several parameters such as surface stabilization, rotational viscosity of the AFLC, magnitude of the data pulse, and bias voltage. The usual multiplexed driving of AFLC displays leads to long-term stabilisation of the grey levels induced by the data pulses within the selection time. However, depending on the bias level, alternative greyscale mechanisms may be obtained by allowing the grey levels to decay during the frametime. These greyscales may be advantageous in some instances since they improve the dynamic response of the AFLC device and reduce the reset time of the waveform. In this study we extend the previous work to include the effect of bias. We present the measured data, in terms of growth pattern and speed and present an extension of the previously model on order to explain the results.
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tom 20
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nr 3
81-95
EN
This paper considers the problem of estimating the product of two population means using the information on multi-auxiliary characters with double sampling the non-respondents. Classes of estimators are proposed for estimating P under two different situations [discussed by Rao (1986, 90)] using known population mean of multi-auxiliary characters. Further, this problem has been extended to the case when population means of the auxiliary characters are unknown and they are estimated on the basis of a larger first phase sample. In this situation, a class of two phase sampling estimators for estimating P is suggested using multi-auxiliary characters with unknown population means in the presence of non-response. The expressions of bias and mean square error of all the proposed estimators are derived and their properties are studied. An empirical study using real data sets is given to justify the theoretical considerations.
17
88%
EN
We provide sharp upper and lower bounds on the bias of trimmed means of progressively censored type II order statistics from general distributions in various scale units. The results are illustrated with numerical examples. We also discuss this problem for distributions with decreasing density or failure rate, as well as for generalized order statistics.
18
Content available remote “Singularities” in and as “the world”: What Happens in Shakespeare
88%
EN
Two possible interpretations of the notion of a “Shakespearean world” are considered; one for which the phrase connotes facts, processes and judgements which are taken by speakers to be provisional, unstable, morally “biassed”, yet in some sense “realistic”; another for which a “singular” character, a character-type or a particular experience is perceived as not only coherent and intensive in itself but as, potentially or actually, the source of a larger coherence and intelligibility. A number of citations display the different features salient to each of these two lines of interpretation. It is argued that, for some “singularities”, which take themselves and their powers and properties to be self-sufficient and self-legitimating, exposure to the “world” is in practice morally reductive or destructive. In other “singular” cases, such exposure amounts to, and offers an understanding of, Shakespearean versions of protagonism, heroism, and empathetic charm.
EN
The first-order autoregressive model with uniform innovations is considered. In this paper, we study the bias-robustness and MSE-robustness of modified maximum likelihood estimator of parameter of the model against departures from distribution of white noise. We used the generalized Beta distribution to describe these departures.
EN
In the present study, the reliability and validity of judging at the European championship in Berlin 2011 were analysed and the results were compared to a different level gymnastic competition - Universiade 2009 in Belgrade. For reliability and consistency assessment, mean absolute judge deviation from final execution score, Cronbach’s alpha coefficient, intra-class correlations (ICC) and Armor’s theta coefficient were calculated. For validity assessment mean deviations of judges’ scores, Kendall’s coefficient of concordance W and ANOVA eta-squared values were used. For Berlin 2011 in general Cronbach’s alpha was above 0.95, minima of item-total correlations were above 0.8, and the ICC of average scores and Armor’s theta were above 0.94. Comparison with Universiade 2009 identified vault and floor scores at both competitions to have inferior reliability indices. At both competitions average deviations of judges from the final E score were close to zero (p=0.84) but Berlin 2011 competition showed a higher number of apparatuses with significant Kendall’s W (5 vs. 2 for Universiade 2009) and higher eta-squared values indicating higher judge panel bias in all-round and apparatus finals. In conclusion, the quality of judging was comparable at examined gymnastics competitions of different levels. Further work must be done to analyse the inferior results at vault and floor apparatuses.
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