Relevant bibliographies by topics / Noun bias

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Noun bias'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Noun bias"

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Goldfield, Beverly A. "Noun bias in maternal speech to one-year-olds." Journal of Child Language 20, no. 1 (1993): 85–99. http://dx.doi.org/10.1017/s0305000900009132.

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ABSTRACTThis study examines the distribution of nouns and verbs in maternal speech to one-year-olds. Mothers and children were videotaped during toy play and non-toy play. Nouns and verbs in maternal speech were coded for frequency, sentence position and occurrence with grammatical inflections. maternal speech was also coded for utterances that prompted the child to produce a noun or a verb. Frequency of nouns and verbs varied with context. There were more noun types and tokens during toy play, and more verb types and tokens during non-toy play. Nouns occurred more often than verbs in shorter
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Hassan, Soleimani, Rahmanian Mahboubeh, and Jafari Gohar Manoochehr. "BRAIN Journal - The Effect of Caretakers' Frequency and Positional Saliency on Noun Bias in Persian Children: A Study on Child Language Development." BRAIN - Broad Research in Artificial Intelligence and Neuroscience 7, no. 2 (2016): 56–68. https://doi.org/10.5281/zenodo.1044278.

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ABSTRACT Noun bias in children’s early vocabulary development is a long-held belief. The present study intended to examine the correlation between the input features like frequency and positional saliency in infant-directed speech and the noun bias characteristic of infants in their early child lexical development. To this purpose, the utterances of ten Persian children aged 1;4 and their caretakers at a kindergarten in Isfahan, Iran, were transcribed for twelve sessions. Persian language with its SOV order that gives much importance to verbs compared to nouns can make noun bias hypothesis of
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XUAN, LEI, and CHRISTINE DOLLAGHAN. "Language-specific noun bias: evidence from bilingual children." Journal of Child Language 40, no. 5 (2012): 1057–75. http://dx.doi.org/10.1017/s0305000912000529.

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ABSTRACTMost evidence concerning cross-linguistic variation in noun bias, the preponderance of nouns in early expressive lexicons (Gentner, 1982), has come from comparisons of monolingual children acquiring different languages. Such designs are susceptible to a number of potential confounders, including group differences in developmental level and sociodemographic characteristics. The aim of this study was to quantify noun bias in bilingual Mandarin–English toddlers whose expressive lexicons in each language contained 50–300 words. Parents of fifty children (1;10–2;6) reported separately on th
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KROTT, ANDREA, CHRISTINA L. GAGNÉ, and ELENA NICOLADIS. "Children's preference for HAS and LOCATED relations: A word learning bias for noun–noun compounds." Journal of Child Language 37, no. 2 (2009): 373–94. http://dx.doi.org/10.1017/s0305000909009593.

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ABSTRACTThe present study investigates children's bias when interpreting novel noun–noun compounds (e.g. kig donka) that refer to combinations of novel objects (kig and donka). More specifically, it investigates children's understanding of modifier–head relations of the compounds and their preference for HAS or LOCATED relations (e.g. a donka that HAS a kig or a donka that is LOCATED near a kig) rather than a FOR relation (e.g. a donka that is used FOR kigs). In a forced-choice paradigm, two- and three-year-olds preferred interpretations with HAS/LOCATED relations, while five-year-olds and adu
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Hertel, Paula T., Amaris Maydon, Julia Cottle, and Janna N. Vrijsen. "Cognitive Bias Modification." Clinical Psychological Science 5, no. 1 (2016): 122–30. http://dx.doi.org/10.1177/2167702616649366.

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Ruminative tendencies to think repetitively about negative events, like retrieval practice in laboratory experiments, should enhance long-term recall. To evaluate this claim, ruminators and nonruminators learned positive, negative, and neutral adjective–noun pairs. Following each of four study phases, “practice” participants attempted cued recall of nouns from positive or negative pairs; study-only participants performed a filler task. Half the pairs of each valence were tested after the four learning cycles, and all pairs were tested a week later. Large practice effects were found on both tes
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BASSANO, DOMINIQUE. "Early development of nouns and verbs in French: exploring the interface between lexicon and grammar." Journal of Child Language 27, no. 3 (2000): 521–59. http://dx.doi.org/10.1017/s0305000900004396.

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Early acquisition of nouns and verbs across languages is a key issue for a number of recent studies that question the reality of the ‘noun-bias’ and wonder about the reasons why it exists as they explore the role of cognitive vs. more language-specific input factors. Addressing this issue, the present study investigates how the noun and verb word classes develop in the free speech of a French child between the ages of 1;2 and 2;6, from the perspective of semantic and grammatical development. The analyses indicate that, in French acquisition, nouns clearly predominate over verbs until age 1;8 a
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Sew, Jyh Wee. "Teaching Noun Classifiers in Malay as a Foreign Language: Applying the Translanguaging Method." Pendeta Journal of Malay Language, Education and Literature 15, no. 2 (2024): 1–16. https://doi.org/10.37134/pendeta.vol15.2.fa.1.2024.

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The individuation of an enumerated noun in many Asian languages requires the modification of the noun stem with a numeral and a specific classifier. Malay noun classifier as a grammar topic is a worthy lesson unit in the curriculum of Malay as a foreign language. This is because the topic highlights the construction differences between a Malay noun iteration and an English noun iteration, respectively. Furthermore, a pedagogical dis- cussion on noun classifiers presents a cross-cultural worldview on noun enumeration in Malay to speakers of non-classifier languages such as English. Selecting an
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KLASSERT, ANNEGRET, NATALIA GAGARINA, and CHRISTINA KAUSCHKE. "Object and action naming in Russian- and German-speaking monolingual and bilingual children." Bilingualism: Language and Cognition 17, no. 1 (2013): 73–88. http://dx.doi.org/10.1017/s1366728913000096.

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The present study investigates the influence of word category on naming performance in two populations: bilingual and monolingual children. The question is whether and, if so, to what extent monolingual and bilingual children differ with respect to noun and verb naming and whether a noun bias exists in the lexical abilities of bilingual children. Picture naming of objects and actions by Russian–German bilingual children (aged 4–7 years) was compared to age-matched monolingual children. The results clearly demonstrate a naming deficit of bilingual children in comparison to monolingual children
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HAHN, ERIN R., and LISA CANTRELL. "The shape-bias in Spanish-speaking children and its relationship to vocabulary." Journal of Child Language 39, no. 2 (2011): 443–55. http://dx.doi.org/10.1017/s030500091100016x.

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ABSTRACTConsiderable research has demonstrated that English-speaking children extend nouns on the basis of shape. Here we asked whether the development of this bias is influenced by the structure of a child's primary language. We tested English- and Spanish-speaking children between the ages of 1 ; 10 and 3 ; 4 in a novel noun generalization task. Results showed that English learners demonstrated a robust shape-bias, whereas Spanish learners did not. Further, English-speaking children produced more shape-based nouns outside the laboratory than Spanish-speaking children, despite similar product
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Casas, Bernardino, Neus Català, Ramon Ferrer-i-Cancho, Antoni Hernández-Fernández, and Jaume Baixeries. "The polysemy of the words that children learn over time." Interaction Studies 19, no. 3 (2018): 389–426. http://dx.doi.org/10.1075/is.16036.cas.

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Abstract Here we study polysemy as a potential learning bias in vocabulary learning in children. Words of low polysemy could be preferred as they reduce the disambiguation effort for the listener. However, such preference could be a side-effect of another bias: the preference of children for nouns in combination with the lower polysemy of nouns with respect to other part-of-speech categories. Our results show that mean polysemy in children increases over time in two phases, i.e. a fast growth till the 31st month followed by a slower tendency towards adult speech. In contrast, this evolution is
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Dissertations / Theses on the topic "Noun bias"

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Moore, Chesney C. "Causes of the noun bias in early vocabulary development." Diss., Columbia, Mo. : University of Missouri-Columbia, 2008. http://hdl.handle.net/10355/5749.

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Thesis (M.H.S.)--University of Missouri-Columbia, 2008.<br>The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. "May 2008" Includes bibliographical references.
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Fortner, Leslie. "The noun bias in vocabulary development : the role of parental input and children's biases /." Free to MU Campus, others may purchase, 2005. http://wwwlib.umi.com/cr/mo/fullcit?p1429781.

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RODDY, TRICIA LYNN. "COMPARISON OF SHAPE BIAS VERSUS WORLD KNOWLEDGE IN THREE AND FIVE-YEAR OLD CHILDREN'S ACQUISITION OF A NOVEL NOUN." University of Cincinnati / OhioLINK, 2001. http://rave.ohiolink.edu/etdc/view?acc_num=ucin991393999.

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HAERER, ERIKA LYNN. "COMPARISON OF SHAPE BIAS VERSUS WORLD KNOWLEDGE IN THREE AND FIVE-YEAR OLD CHILDREN'S ACQUISITION OF A NOVEL NOUN." University of Cincinnati / OhioLINK, 2001. http://rave.ohiolink.edu/etdc/view?acc_num=ucin991396061.

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Narayanaswamy, Anand Subramanian. "A Non-Contact Sensor Interface for High-Temperature, MEMS Capacitive Sensors." Case Western Reserve University School of Graduate Studies / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=case1275675071.

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Adhikari, Ramesh. "Two Essays in Finance: “Selection Biases and Long-run Abnormal Returns” And “The Impact of Financialization on the Benefits of Incorporating Commodity Futures in Actively Managed Portfolios”." ScholarWorks@UNO, 2015. http://scholarworks.uno.edu/td/2050.

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This dissertation consists of two essays. First essay investigates the implications of researcher data requirement on the risk-adjusted returns of firms. Using the monthly CRSP data from 1925 to 2013, we present evidence that firms which survive longer have higher average returns and lower standard deviation of annualized returns than the firms which do not. I further demonstrate that there is a positive relation between firms’ survival and average performance. In order to account for the positive correlation between survival and average performance, I model the relation of survival and pricin
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Ahmed, Fahad. "Invasive and non-invasive detection of bias temperature instability." Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/52227.

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Invasive and non-invasive methods of BTI monitoring and wearout preemption have been proposed. We propose a novel, simple to use, test structure for NBTI /PBTI monitoring. The proposed structure has an AC and a DC stress mode. Although during stress mode, both PMOS and NMOS devices are stressed, the proposed structure isolates the PBTI and NBTI degradation during test mode. A methodology of converting any data-path into ring oscillator (DPRO) is also presented. To avoid the performance overhead of attaching monitoring circuitry to functional block, a non-invasive scheme for BTI monitoring is p
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Sigrist, Zoé. "Contribution à l'identification de systèmes non-linéaires en milieu bruité pour la modélisation de structures mécaniques soumises à des excitations vibratoires." Thesis, Bordeaux 1, 2012. http://www.theses.fr/2012BOR14655/document.

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Cette thèse porte sur la caractérisation de structures mécaniques, au travers de leurs paramètres structuraux, à partir d'observations perturbées par des bruits de mesure, supposés additifs blancs gaussiens et centrés. Pour cela, nous proposons d'utiliser des modèles à temps discret à parties linéaire et non-linéaire séparables. La première permet de retrouver les paramètres recherchés tandis que la seconde renseigne sur la non-linéarité présente. Dans le cadre d'une modélisation non-récursive par des séries de Volterra, nous présentons une approche à erreurs-dans-les-variables lorsque les var
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Broh, Beckett A. "Racial/ethnic achievement inequality separating school and non-school effects through seasonal comparisons /." Columbus, Ohio : Ohio State University, 2003. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1069794238.

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Thesis (Ph. D.)--Ohio State University, 2003.<br>Title from first page of PDF file. Document formatted into pages; contains xii, 107 p.; also includes graphics (some col.). Includes abstract and vita. Advisor: Douglas B. Downey, Dept. of Chemistry. Includes bibliographical references (p. 92-98).
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Werhan, Luke. "The affective forecasting bias in depressed and non-depressed groups." Connect to resource, 2009. http://hdl.handle.net/1811/37233.

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Books on the topic "Noun bias"

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Erstic, Marijana, Gregor Schuhen, and Christian von Tschilschke, eds. »Madame Bovary, c'est nous!« - Lektüren eines Jahrhundertromans. transcript Verlag, 2021. http://dx.doi.org/10.14361/9783839452844.

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Die wohl bekannteste Ehebrecherin der Weltliteratur hat nicht nur zahlreiche Nachfolgerinnen, sondern übt auch bis heute eine nicht enden wollende Faszinationskraft auf ihre Leser*innen aus. Gustave Flauberts Emma Bovary wird dadurch zur Projektionsfläche ganzer Generationen, die in ihr abwechselnd eine Feministin, eine tragische Figur, eine Femme fatale, eine Künstlerin oder einen provinziellen Backfisch sehen wollen. Dieser Ambivalenz gehen die Beiträger*innen des Bandes essayistisch und wissenschaftlich nach. Die leitende Frage dabei lautet: Steckt nicht in allen etwas von Emma Bovary?
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Laird, Sam. Two sources of bias in standard partial equilibrium trade models. World Bank, 1990.

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China (Republic : 1949- ). Si fa yuan. Di 1 ting. Fei song shi jian fa ling ji fa lü wen ti yan jiu hui bian. Si fa yuan mi shu chu, 1991.

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Maggio, Rosalie. The bias-free word finder: A dictionary of nondiscriminatory language. Beacon Press, 1992.

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Parker, Lara, ed. Vagina Problems. Brilliance Audio, 2020.

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Parker, Lara, ed. Vagina Problems. St. Martins Griffin, 2020.

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Elwood, Mark. Error and bias in observations. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199682898.003.0006.

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This chapter distinguishes error and bias, non-differential and differential misclassification distinguished. Non-differential misclassification almost always biases results toward the null, while differential misclassification can affect results in any direction. Methods to minimise observation bias include single, double and triple blind assessment. It discusses recall and other biases, with methods of assessment and avoidance, and practical issues on reducing error and bias. In part two, it shows how to measure and adjust for observational error and bias, including Kappa and adjusting for n
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Kuypers, Jim A. Press Bias and Politics. Greenwood Publishing Group, Inc., 2002. http://dx.doi.org/10.5040/9798216000976.

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Kuypers charts the potential effects the printed presses and broadcast media have upon the messages of political and social leaders when they discuss controversial issues. Examining over 800 press reports on race and homosexuality from 116 different newspapers, Kuypers meticulously documents a liberal political bias in mainstream news. This book asserts that such a bias hurts the democratic process by ignoring non-mainstream left positions and vilifying many moderate and most right-leaning positions, leaving only a narrow brand of liberal thought supported by the mainstream press. This book ar
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Peacock, Janet L., and Sally M. Kerry. Introduction to presenting statistical analyses. Oxford University Press, 2013. http://dx.doi.org/10.1093/med/9780198599661.003.0005.

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Chapter 5 discusses presenting statistical analyses, and covers numerical data, results section, describing the results, assessing non-response bias, presenting results for different media, drawing up subject profiles, graphs and tables, and categorical and continuous data.
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Han yu fang wei ci "zuo" "you" "dong" "xi" "nan" "bei" fa zhan yan bian shi: The history of the development and evolution of the Chinese direction words Zuo, You, Dong, Xi, Nan, Bei. Ji nan da xue chu ban she, 2018.

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Book chapters on the topic "Noun bias"

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Sigler, Stephanie. "Examining Clinician's Bias." In The Clinician's Guide to Ethical Non-Monogamous Relationships. Routledge, 2024. http://dx.doi.org/10.4324/9781003464891-5.

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Hickey, Donal A., Shaojiu Wang, and Charalambos Magoulas. "Gene Duplication, Gene Conversion and Codon Bias." In Non-Neutral Evolution. Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2383-3_16.

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Takeuchi, Kan. "Non-parametric Test of Time Consistency: Present Bias and Future Bias." In Behavioral Economics of Preferences, Choices, and Happiness. Springer Japan, 2016. http://dx.doi.org/10.1007/978-4-431-55402-8_4.

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Dauber, Daniel. "Sources of bias: Sampling, outliers, normality and other ‘conundrums’." In R for Non-Programmers. Chapman and Hall/CRC, 2025. https://doi.org/10.1201/9781003486398-9.

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Hancock, Monte. "Non-monotonic Bias-Based Reasoning Under Uncertainty." In Augmented Cognition. Theoretical and Technological Approaches. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-50353-6_19.

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Maleszka, Marcin. "The Increasing Bias of Non-uniform Collectives." In Computational Collective Intelligence. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-98443-8_3.

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Grosof, Benjamin N., and Stuart J. Russell. "Shift of Bias as Non-Monotonic Reasoning." In The Kluwer International Series in Engineering and Computer Science. Springer US, 1990. http://dx.doi.org/10.1007/978-1-4613-1641-1_3.

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Yuqun, Liao. "Bian Que." In Encyclopaedia of the History of Science, Technology, and Medicine in Non-Western Cultures. Springer Netherlands, 2016. http://dx.doi.org/10.1007/978-94-007-7747-7_8473.

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Griffith, Daniel A., and Jean H. P. Paelinck. "Filtering Complexity for Observational Errors and Spatial Bias." In Non-standard Spatial Statistics and Spatial Econometrics. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16043-1_17.

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Bosch, Peter, Graham Katz, and Carla Umbach. "The non-subject bias of German demonstrative pronouns." In Anaphors in Text. John Benjamins Publishing Company, 2007. http://dx.doi.org/10.1075/slcs.86.13bos.

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Conference papers on the topic "Noun bias"

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Chung, Hyeongju, Beomjoon Kim, Gerhard Boehm, Mikhail A. Belkin, and Jongwon Lee. "Non-Hermitian degeneracy of electrically tunable intersubband polaritonic metasurfaces." In CLEO: Science and Innovations. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/cleo_si.2024.sw4o.1.

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We propose non-hermitian degeneracies in the mid-infrared using two orthogonal and electrically tunable plasmonic split-ring resonators. These resonators are coupled to intersubband transitions in multiple-quantum wells and can be individually controlled by two bias voltages.
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Hoyt, Shaun J., W. Dale Blair, and Aaron D. Lanterman. "Non-Linear Bias Mitigation in Multi-Sensor Multi-Track Fusion." In 2024 27th International Conference on Information Fusion (FUSION). IEEE, 2024. http://dx.doi.org/10.23919/fusion59988.2024.10706450.

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Shiratori, Tsutomu, Toshimori Miyakoshi, Yasuyuki Miyaoka, and Yasushi Hozumi. "Non-bias magneto-optical recording." In Optical Data Storage Topical Meeting 2004, edited by B. V. K. Vijaya Kumar and Hiromichi Kobori. SPIE, 2004. http://dx.doi.org/10.1117/12.567965.

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Zhang, Yuanyuan, Yixuan Zhang, Bence Halpern, Tanvina Patel, and Odette Scharenborg. "Mitigating bias against non-native accents." In Interspeech 2022. ISCA, 2022. http://dx.doi.org/10.21437/interspeech.2022-836.

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Romero, Vicente J., J. Franklin Dempsey, Bonnie Antoun, Gerald Wellman, and Martin Sherman. "Handling Bias and Uncertainty in Model Verification and Validation associated with Heated Pipes Pressurized to Failure." In 16th AIAA Non-Deterministic Approaches Conference. American Institute of Aeronautics and Astronautics, 2014. http://dx.doi.org/10.2514/6.2014-0811.

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Elfouhaily, T., D. Thompson, D. Vandemark, and B. Chapron. "Non-linear waves and the electromagnetic bias." In IGARSS '98. Sensing and Managing the Environment. 1998 IEEE International Geoscience and Remote Sensing. Symposium Proceedings. (Cat. No.98CH36174). IEEE, 1998. http://dx.doi.org/10.1109/igarss.1998.703700.

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Kizilcec, René F. "Reducing non-response bias with survey reweighting." In L@S 2014: First (2014) ACM Conference on Learning @ Scale. ACM, 2014. http://dx.doi.org/10.1145/2556325.2567850.

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Yap, Von Bing. "Simulation-based exploration of surveys with non-response." In New Skills in the Changing World of Statistics Education. International Association for Statistical Education, 2020. http://dx.doi.org/10.52041/srap.20405.

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A simple model of random selection and systematic non-response from a linear bivariate population is proposed to illustrate the bias in estimating regression parameters based only on the responses. The problem is explored graphically and numerically via a simulation study implemented in the statistical computing environment R. It highlights the propensity to bias in regression analysis of observational multivariate data. The model can be substantially modified, to make it possible to imagine any dataset as coming from a randomised survey with possible non-response.
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Zhu, Jie, Jean-Jacques Bellanger, Huazhong Shu, and Regine Le Bouquin Jeannes. "Investigating bias in non-parametric mutual information estimation." In ICASSP 2015 - 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2015. http://dx.doi.org/10.1109/icassp.2015.7178716.

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Siletti, Elena, Stefano Maria Iacus, Giuseppe Porro, and Silvia Salini. "A proposal to deal with sampling bias in social network big data." In CARMA 2018 - 2nd International Conference on Advanced Research Methods and Analytics. Universitat Politècnica València, 2018. http://dx.doi.org/10.4995/carma2018.2018.8302.

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Selection bias is the bias introduced by the non random selection of data, it leads to question whether the sample obtained is representative of the target population. Generally there are different types of selection bias, but when one manages web-surveys or data from social network as Twitter or Facebook, one mostly need to focus with sampling and self-selection bias. In this work we propose to use offcial statistics to anchor and remove the sampling bias and unreliability of the estimations, due to the use of social network big data, following a weighting method combined with a small area es
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Reports on the topic "Noun bias"

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Hamermesh, Daniel, and Stephen Donald. The Effect of College Curriculum on Earnings: Accounting for Non-Ignorable Non-Response Bias. National Bureau of Economic Research, 2004. http://dx.doi.org/10.3386/w10809.

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Díaz, Juan José, and Sudhanshu Handa. An Assessment of Propensity Score Matching as a Non Experimental Impact Estimator: Evidence from Mexico's PROGRESA Program. Inter-American Development Bank, 2005. http://dx.doi.org/10.18235/0011170.

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In this working paper the authors present evidence on the reliability of propensity score matching to estimate the bias associated with the effect of treatment on the treated, exploiting the availability of experimental data from a Mexican antipoverty program (PROGRESA: Programa de Educación, Salud y Alimentación). The data comes from several outcomes such as food expenditure and child schooling and labor. The methodology compares the results of the experimental impact estimator with those using matched samples drawn from a (non-experimental) national survey carried out to measure household in
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Williams, Christine, Philip Calder, and Julie Lovegrove. Meta-analyses and narrative review of financial and non-financial sources of bias. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2025. https://doi.org/10.37766/inplasy2025.6.0089.

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Vergani, Matteo, Angelique Stefanopoulos, Alexandra Lee, et al. Defining and identifying hate motives: bias indicators for the Australian context. Centre for Resilient and Inclusive Societies, 2022. http://dx.doi.org/10.56311/pozs1016.

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This report presents bias indicators for the Australian context and discusses their concept, uses, benefits and risks. The bias indicators we present are the result of extensive consultations with local experts including academics and practitioners working in law enforcement agencies, government and non-government organisations and community organisations. Trigger warning: this report discusses multiple forms of trauma, hate, and discrimination, including physical violence, racism, and homophobia.
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Forde, Jessica. Effects of Social Desirability Bias on Self-Report and Non Self-Report Assessments During Smoking Cessation. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ad1013410.

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Lozada, Gabriel A. The Perils of Antitrust Econometrics: Unrealistic Engel Curves, Inadequate Data, and Aggregation Bias. Institute for New Economic Thinking Working Paper Series, 2023. http://dx.doi.org/10.36687/inetwp203.

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Some economists argue antitrust policy should be based on empirical methods used by the Industrial Organization subdiscipline of economics, but non-economists must understand that those methods contain certain highly restrictive assumptions. Those assumptions involve econometric “identification,” and treating aggregate demand as if it were generated by a representative consumer (Muellbauer’s “generalized linear” preferences). We derive new results illustrating how restrictive the representative consumer assumption is; we explain aggregation bias in Almost Ideal Demand System models; and we sho
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Aguilar, Alicia, and Ricardo Gimeno. Discrete Probability Forecasts: What to expect when you are expecting a monetary policy decision. Banco de España, 2024. http://dx.doi.org/10.53479/37893.

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We apply discrete probability forecasts to the expectations of monetary policy rate changes, both in the United States and in the euro area. By using binomial trees from options theory, forecast distributions are derived from the instantaneous forward yield curve, based on interest rate swaps. We then use a non-randomised discrete probability forecast evaluation that confirms the presence of a systematic upward bias, consistent with the presence of a term premium. Consequently, we propose a bias-correction methodology to increase the accuracy of the density forecasts regarding monetary policy
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Arias, Karla, David López, Segundo Camino-Mogro, et al. Green Transition and Gender Bias: An Analysis of Renewable Energy Generation Companies in Latin America. Edited by Amanda Beaujon Marin. Inter-American Development Bank, 2022. http://dx.doi.org/10.18235/0004461.

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This study analyzes how the energy transition might change gender bias in power-generating industries. To this end, this paper employs a sample of 102 renewable energy generation companies from six countries in Latin America and the Caribbean: Bolivia, Chile, Costa Rica, Panama, Mexico, and Uruguay. The analysis of collected data shows that renewable generation companies with the highest relative efficiency in the labor-capital ratio are those with the highest participation of women. In addition, the results show that renewable companies are incrementing recruitment of women in energy generati
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Rohatgi, U. S., L. Y. Neymotin, J. Jo, and W. Wulff. Bias in peak clad temperature predictions due to uncertainties in modeling of ECC bypass and dissolved non-condensable gas phenomena. Office of Scientific and Technical Information (OSTI), 1990. http://dx.doi.org/10.2172/6604519.

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Grown, Caren, and Giulia Mascagni. Vers l'égalité de genre dans les systèmes fiscaux et budgétaires : dépasser le cadre des biais implicites et explicites. Institute of Development Studies, 2025. https://doi.org/10.19088/ictd.2025.001.

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Le thème du genre et de la fiscalité est de plus en plus présent dans les groupes de décideurs politiques publiques. La plupart des résultats existants sont basés sur le cadre des biais implicites et explicites développé au milieu des années 1990. Ce cadre a été utile pour promouvoir à la fois la recherche dans ce domaine et les réformes fiscales visant à lutter contre les biais de genre. Cependant, les biais explicites devenant de plus en plus rares, nous soutenons que ce cadre n'est plus adapté pour guider les décisions politiques vers une meilleure équité fiscale et égalité de genre. Plus i
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