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Relevant bibliographies by topics / Trait estimation

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Academic literature on the topic 'Trait estimation'

Author: Grafiati

Published: 10 March 2023

Last updated: 31 July 2025

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Journal articles on the topic "Trait estimation"

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Fanourakis, Dimitrios, Filippos Kazakos, and Panayiotis A. Nektarios. "Allometric Individual Leaf Area Estimation in Chrysanthemum." Agronomy 11, no. 4 (2021): 795. http://dx.doi.org/10.3390/agronomy11040795.

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A model for estimating the area of individual leaves (LA) by employing their dimensions was developed for chrysanthemum. Further hypotheses were tested: (a) LA estimation is improved by considering blade length (Lb) rather than leaf length (L), and (b) a reasonable LA estimation can be attainable by considering L in conjunction to a shape trait, which is cultivar dependent. For the model development, six cultivars were employed (1500 leaves in total), while for model validation, an independent set of nine cultivars was utilized (1125 leaves in total). Several characteristics were digitally ass

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Cappa, Eduardo P., and Rodolfo JC Cantet. "Bayesian inference for normal multiple-trait individual-tree models with missing records via full conjugate Gibbs." Canadian Journal of Forest Research 36, no. 5 (2006): 1276–85. http://dx.doi.org/10.1139/x06-024.

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In forest genetics, restricted maximum likelihood (REML) estimation of (co)variance components from normal multiple-trait individual-tree models is affected by the absence of observations in any trait and individual. Missing records affect the form of the distribution of REML estimates of genetics parameters, or of functions of them, and the estimating equations are computationally involved when several traits are analysed. An alternative to REML estimation is a fully Bayesian approach through Markov chain Monte Carlo. The present research describes the use of the full conjugate Gibbs algorith

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Zhu, Anqi, Nana Matoba, Emma P. Wilson, et al. "MRLocus: Identifying causal genes mediating a trait through Bayesian estimation of allelic heterogeneity." PLOS Genetics 17, no. 4 (2021): e1009455. http://dx.doi.org/10.1371/journal.pgen.1009455.

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Expression quantitative trait loci (eQTL) studies are used to understand the regulatory function of non-coding genome-wide association study (GWAS) risk loci, but colocalization alone does not demonstrate a causal relationship of gene expression affecting a trait. Evidence for mediation, that perturbation of gene expression in a given tissue or developmental context will induce a change in the downstream GWAS trait, can be provided by two-sample Mendelian Randomization (MR). Here, we introduce a new statistical method, MRLocus, for Bayesian estimation of the gene-to-trait effect from eQTL and

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Thomas, Neal. "Assessing Model Sensitivity of the Imputation Methods Used in the National Assessment of Educational Progress." Journal of Educational and Behavioral Statistics 25, no. 4 (2000): 351–71. http://dx.doi.org/10.3102/10769986025004351.

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The National Assessment of Educational Progress (NAEP) uses latent trait item response models to summarize performance of students on assessments of educational proficiency in different subject areas such as mathematics and reading. Because of limited examination time and concerns about student motivation. NAEP employs sparse matrix sampling designs that assign a small number of examination items to each sampled student to measure broad curriculums. As a consequence, each sampled student’s latent trait is not accurately measured, and NAEP uses multiple imputation missing data statistical metho

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Lopez, Bryan Irvine, Ju-Hwan Son, Kangseok Seo, and Dajeong Lim. "Estimation of Genetic Parameters for Reproductive Traits in Hanwoo (Korean Cattle)." Animals 9, no. 10 (2019): 715. http://dx.doi.org/10.3390/ani9100715.

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Genetic parameters for the reproductive traits of Hanwoo cattle were estimated using data obtained from 15,355 cows in 92 herds across South Korea, which were inseminated from May 1997 to July 2016. An “average information” restricted maximum likelihood (REML) procedure that fit in single-trait and multi-trait animal models was used to estimate the variance components of age at first calving (AFC), calving interval (CI), days open (DO), and gestation length (GL). Results showed the low estimates of heritability for all reproductive traits from both single-trait and multi-trait models. Estimate

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McINTYRE, LAUREN M., CYNTHIA J. COFFMAN, and R. W. DOERGE. "Detection and localization of a single binary trait locus in experimental populations." Genetical Research 78, no. 1 (2001): 79–92. http://dx.doi.org/10.1017/s0016672301005092.

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The advancements made in molecular technology coupled with statistical methodology have led to the successful detection and location of genomic regions (quantitative trait loci; QTL) associated with quantitative traits. Binary traits (e.g. susceptibility/resistance), while not quantitative in nature, are equally important for the purpose of detecting and locating significant associations with genomic regions. Existing interval regression methods used in binary trait analysis are adapted from quantitative trait analysis and the tests for regression coefficients are tests of effect, not detectio

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Nagy, I., J. Farkas, I. Curik, G. Gorjanc, P. Gyovai, and Zs Szendrő. "Estimation of additive and dominance variance for litter size components in rabbits." Czech Journal of Animal Science 59, No. 4 (2014): 182–89. http://dx.doi.org/10.17221/7342-cjas.

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Additive, dominance, and permanent environmental variance components were estimated for the number of kits born alive, number of kits born dead, and total number of kits born of a synthetic rabbit line (called Pannon Ka). The data file consisted of 11 582 kindling records of 2620 does collected between the years 1996&ndash;2013. The total number of animals in the pedigree files was 4012. The examined traits were evaluated using single-trait and two-trait (number of kits born alive-dead) animal models containing all or part of the following effects: additive genetic effects, permanent envir

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Gao, Boran, Can Yang, Jin Liu, and Xiang Zhou. "Accurate genetic and environmental covariance estimation with composite likelihood in genome-wide association studies." PLOS Genetics 17, no. 1 (2021): e1009293. http://dx.doi.org/10.1371/journal.pgen.1009293.

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Genetic and environmental covariances between pairs of complex traits are important quantitative measurements that characterize their shared genetic and environmental architectures. Accurate estimation of genetic and environmental covariances in genome-wide association studies (GWASs) can help us identify common genetic and environmental factors associated with both traits and facilitate the investigation of their causal relationship. Genetic and environmental covariances are often modeled through multivariate linear mixed models. Existing algorithms for covariance estimation include the tradi

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Song, Huan, Chenghui Tan, Chuanlin Zhu, Dianzhi Liu, and Wenbo Peng. "The Influence of Emotion Regulation on Estimation Strategy Execution in Individuals with Trait Anxiety." Brain Sciences 12, no. 9 (2022): 1204. http://dx.doi.org/10.3390/brainsci12091204.

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Previous studies have shown that some negative emotions hinder estimation strategy execution. However, these studies rarely investigate the influence of negative emotions on the estimation strategy execution in individuals with trait anxiety. The present study examines the relationship between negative emotions and trait anxiety in individuals’ estimation strategy execution. Moreover, it looks into the influence of different emotion regulation strategies on their estimation strategy execution. In October 2010, 803 college students were evaluated using the Trait Anxiety Scale. From these partic

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Krupová, Zuzana, Emil Krupa, Ludmila Zavadilová, Eva Kašná, and Eliska Žáková. "Current challenges for trait economic values in animal breeding." Czech Journal of Animal Science 65, No. 12 (2020): 454–62. http://dx.doi.org/10.17221/161/2020-cjas.

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Modern selection approaches are expected to bring about the cumulative and permanent improvement of animal performance and profitability of animal production. Breeding values of traits along with trait economic values (EVs) are utilised for economic selection purposes with many species all over the world. Currently, some challenges related to trait EVs in animal breeding should be considered. First, the selection response based on the higher accuracy of genomic selection may be reduced due to improper weighting of the trait breeding values of selection candidates. A comprehensive approach appl

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Dissertations / Theses on the topic "Trait estimation"

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Martinez, de la Vega Octavio. "Quantitative trait loci estimation in plant populations." Thesis, University of Reading, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.358346.

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Tzamourani, Panagiota. "Robustness, semiparametric estimation and goodness-of-fit of latent trait models." Thesis, London School of Economics and Political Science (University of London), 1999. http://etheses.lse.ac.uk/1623/.

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This thesis studies the one-factor latent trait model for binary data. In examines the sensitivity of the model when the assumptions about the model are violated, it investigates the information about the prior distribution when the model is estimated semi-parametrically and it also examines the goodness-of-fit of the model using Monte-Carlo simulations. Latent trait models are applied to data arising from psychometric tests, ability tests or attitude surveys. The data are often contaminated by guessing, cheating, unwillingness to give the true answer or gross errors. To study the sensitivity

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Pender, Jocelyn E. "Climatic Niche Estimation, Trait Evolution and Species Richness in North American Carex (Cyperaceae)." Thesis, Université d'Ottawa / University of Ottawa, 2016. http://hdl.handle.net/10393/34334.

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With close to 2100 species, the flowering plant genus Carex (Cyperaceae; sedges) is an example of an evolutionary radiation. Despite its potential for use as a model taxon in evolutionary studies, the diversification of sedges remains largely unexplored. This thesis realizes the potential of Carex as an evolutionary model group by using it to ask questions about species richness patterns. More specifically, it seeks to determine the relationship, if any, between rates of trait evolution and species richness. This tests the hypothesis that organisms with increased abilities to evolve new traits

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Pita, Fabiano Veraldo da Costa. "Construction of the gametic covariance matrix for quantitative trait loci analyses in outbred populations." Universidade Federal de Viçosa, 2003. http://www.locus.ufv.br/handle/123456789/10501.

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Submitted by Marco Antônio de Ramos Chagas (mchagas@ufv.br) on 2017-06-02T16:19:15Z No. of bitstreams: 1 texto completo.pdf: 390406 bytes, checksum: ccedce081a84047d48e29f58c45f1176 (MD5)<br>Made available in DSpace on 2017-06-02T16:19:15Z (GMT). No. of bitstreams: 1 texto completo.pdf: 390406 bytes, checksum: ccedce081a84047d48e29f58c45f1176 (MD5) Previous issue date: 2003-09-05<br>Conselho Nacional de Desenvolvimento Científico e Tecnológico<br>A aplicação de análises de “Quantitative Trait Loci” (QTL) em populações exogâmicas é desafiadora porque pressuposições simplificadoras não pod

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Gaasch, Jean-Christoph Verfasser], Susanne [Akademischer Betreuer] [Rässler, and Claus [Akademischer Betreuer] Carstensen. "Bayesian estimation of latent trait distributions considering hierarchical structures and partially missing covariate data / Jean-Christoph Gaasch ; Susanne Rässler, Claus Carstensen." Bamberg : Otto-Friedrich-Universität Bamberg, 2017. http://d-nb.info/1147756945/34.

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Gaasch, Jean-Christoph [Verfasser], Susanne [Akademischer Betreuer] Rässler, and Claus H. [Akademischer Betreuer] Carstensen. "Bayesian estimation of latent trait distributions considering hierarchical structures and partially missing covariate data / Jean-Christoph Gaasch ; Susanne Rässler, Claus Carstensen." Bamberg : Otto-Friedrich-Universität Bamberg, 2017. http://d-nb.info/1147756945/34.

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Li, Xiongya. "Robust multivariate mixture regression models." Diss., Kansas State University, 2017. http://hdl.handle.net/2097/38427.

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Doctor of Philosophy<br>Department of Statistics<br>Weixing Song<br>In this dissertation, we proposed a new robust estimation procedure for two multivariate mixture regression models and applied this novel method to functional mapping of dynamic traits. In the first part, a robust estimation procedure for the mixture of classical multivariate linear regression models is discussed by assuming that the error terms follow a multivariate Laplace distribution. An EM algorithm is developed based on the fact that the multivariate Laplace distribution is a scale mixture of the multivariate standard no

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Koch, Rainer, Ulrich Julius, Werner Jaross, and Hans-Egbert Schröder. "Estimation of the Heritability of Latent Variables Which Are Included in a Structural Model for Metabolic Syndrome." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-137470.

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In a study looking for risk factors of atherosclerosis in families with combined hyperlipidemia and hypertension, clinical and biochemical data of 1,149 persons were analyzed to develop two hypothetical multivariate scores concerning the degree to which a patient is affected by the metabolic syndrome. The scores are based on a structural model for low-density cholesterol (LDL) and high-density cholesterol (HDL), triglycerides, uric acid, creatinine, glucose, insulin, systolic blood pressure and waist-to-hip ratio. Age, gender and body mass index were used for adjusting all variables. In segreg

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Koch, Rainer, Ulrich Julius, Werner Jaross, and Hans-Egbert Schröder. "Estimation of the Heritability of Latent Variables Which Are Included in a Structural Model for Metabolic Syndrome." Karger, 2001. https://tud.qucosa.de/id/qucosa%3A27735.

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In a study looking for risk factors of atherosclerosis in families with combined hyperlipidemia and hypertension, clinical and biochemical data of 1,149 persons were analyzed to develop two hypothetical multivariate scores concerning the degree to which a patient is affected by the metabolic syndrome. The scores are based on a structural model for low-density cholesterol (LDL) and high-density cholesterol (HDL), triglycerides, uric acid, creatinine, glucose, insulin, systolic blood pressure and waist-to-hip ratio. Age, gender and body mass index were used for adjusting all variables. In segreg

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IMPOLLONIA, GIORGIO. "Telerilevamento multispettrale da APR per high-throughput phenotyping dei tratti di canapa e miscanto." Doctoral thesis, Università Cattolica del Sacro Cuore, 2022. http://hdl.handle.net/10280/119451.

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Il telerilevamento basato su aeromobile a pilotaggio remoto (APR) è stato utilizzato per high-throughput phenotyping (HTP) dei tratti di canapa e miscanto. Il telerilevamento da APR, tramite l’acquisizione di immagini multispettrali ed il calcolo di diversi indici di vegetazione, permette di stimare i tratti delle colture. In questa tesi, i tratti stimati per la canapa sono stati l'indice di area fogliare e il contenuto di clorofilla fogliare, mentre per il miscanto sono stati l'intercettazione della luce, l'altezza della pianta, la biomassa delle foglie verdi, la biomassa epigea e il contenut

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Books on the topic "Trait estimation"

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Song, Xiaoyu. A New Estimating Equation Based Approach for Secondary Trait Analyses in Genetic Case-control Studies. [publisher not identified], 2015.

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Walsh, Bruce, and Michael Lynch. Evolution and Selection of Quantitative Traits. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198830870.001.0001.

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Quantitative traits—be they morphological or physiological characters, aspects of behavior, or genome-level features such as the amount of RNA or protein expression for a specific gene—usually show considerable variation within and among populations. Quantitative genetics, also referred to as the genetics of complex traits, is the study of such characters and is based on mathematical models of evolution in which many genes influence the trait and in which non-genetic factors may also be important. Evolution and Selection of Quantitative Traits presents a holistic treatment of the subject, show

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Reuter, Martin, and Christian Montag. The Genetic Basis of Positive Emotionality. Edited by Turhan Canli. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199753888.013.015.

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The chapter addresses the molecular genetic basis of the personality trait positive emotionality (PE). Beginning with historical aspects of heritability estimation and personality assessment, the main portion of this chapter discusses the molecular genetics basis of PE, which is investigated far less frequently than that of negative emotionality (NE). The studies reviewed focus on individual differences in PE in healthy subjects and include only those studies that assess PE by broadly accepted personality inventories. The review is concentrated on dopaminergic and serotonergic genes because th

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Belitser, E. N. Minimax estimation in regression and random censorship models (CWI Tract, 127). CWI Tract, 2000.

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Makatjane, Katleho, and Roscoe van Wyk. Identifying structural changes in the exchange rates of South Africa as a regime-switching process. UNU-WIDER, 2020. http://dx.doi.org/10.35188/unu-wider/2020/919-8.

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Exchange rate volatility is said to exemplify the economic health of a country. Exchange rate break points (known as structural breaks) have a momentous impact on the macroeconomy of a country. Nonetheless, this country study makes use of both unsupervised and supervised machine learning algorithms to classify structural changes as regime shifts in real exchange rates in South Africa. Weekly data for the period January 2003–June 2020 are used. To these data we apply both non-linear principal component analysis and Markov-switching generalized autoregressive conditional heteroscedasticity. The

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Walsh, Richard A. “I Am Not Sure If I Should Do DaT”. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780190607555.003.0008.

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Nuclear medicine-based imaging techniques can provide an estimation of nigrostriatal tract denervation based on radionucleotide uptake in the distal presynaptic terminals of dopaminergic neurons. Although unhelpful in differentiating between differing etiologies of denervation in varied neurodegenerative disorders associated with parkinsonism, this imaging is justified in situations in which parkinsonism is believed to be drug-induced or functional or in cases in which subclinical parkinsonism is suspected. The most common clinical situation in which dopamine transporter imaging is helpful is

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M. Pavlović, R. Marković, S. Radulović, et al. Estimation of apparent and true total tract digestibility of phosphorus from monocalcium phosphate in broiler diets. Verlag Eugen Ulmer, 2018. http://dx.doi.org/10.1399/eps.2018.225.

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Test n° 313: Estimation des émissions issues de bois traité par un produit de préservation dans l'environnement. OECD, 2007. http://dx.doi.org/10.1787/9789264067387-fr.

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Boudreau, Joseph F., and Eric S. Swanson. Continuum dynamics. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198708636.003.0019.

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The theory and application of a variety of methods to solve partial differential equations are introduced in this chapter. These methods rely on representing continuous quantities with discrete approximations. The resulting finite difference equations are solved using algorithms that stress different traits, such as stability or accuracy. The Crank-Nicolson method is described and extended to multidimensional partial differential equations via the technique of operator splitting. An application to the time-dependent Schrödinger equation, via scattering from a barrier, follows. Methods for solv

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Book chapters on the topic "Trait estimation"

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Montesinos López, Osval Antonio, Abelardo Montesinos López, and Jose Crossa. "Linear Mixed Models." In Multivariate Statistical Machine Learning Methods for Genomic Prediction. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-89010-0_5.

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AbstractThe linear mixed model framework is explained in detail in this chapter. We explore three methods of parameter estimation (maximum likelihood, EM algorithm, and REML) and illustrate how genomic-enabled predictions are performed under this framework. We illustrate the use of linear mixed models by using the predictor several components such as environments, genotypes, and genotype × environment interaction. Also, the linear mixed model is illustrated under a multi-trait framework that is important in the prediction performance when the degree of correlation between traits is moderate or

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Pfanzagl, J. "On Item Parameter Estimation in Certain Latent Trait Models." In Recent Research in Psychology. Springer New York, 1994. http://dx.doi.org/10.1007/978-1-4612-4308-3_19.

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Sheng, Xiaona, Weijun Ma, and Ying Zhou. "Joint Estimation of QTL Positions and Effects in Multiple-Interval Mapping for Count Trait." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-45049-9_60.

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Montesinos López, Osval Antonio, Abelardo Montesinos López, and Jose Crossa. "Bayesian Genomic Linear Regression." In Multivariate Statistical Machine Learning Methods for Genomic Prediction. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-89010-0_6.

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AbstractThe Bayesian paradigm for parameter estimation is introduced and linked to the main problem of genomic-enabled prediction to predict the trait of interest of the non-phenotyped individuals from genotypic information, environment variables, or other information (covariates). In this situation, a convenient practice is to include the individuals to be predicted in the posterior distribution to be sampled. We explained how the Bayesian Ridge regression method is derived and exemplified with data from plant breeding genomic selection. Other Bayesian methods (Bayes A, Bayes B, Bayes C, and

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Kim, Seong Tae, and Yong Man Ro. "Facial Dynamics Interpreter Network: What Are the Important Relations Between Local Dynamics for Facial Trait Estimation?" In Computer Vision – ECCV 2018. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01258-8_29.

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Simm, Geoff, Geoff Pollott, Raphael Mrode, Ross Houston, and Karen Marshall. "Analysing genetic variation in farm animals." In Genetic improvement of farmed animals. CABI, 2021. http://dx.doi.org/10.1079/9781789241723.0178.

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Abstract In this chapter, topics focused on how to quantify the extent to which genes affect measured traits and how to use this information in breeding programmes. Highlights include: estimating heritability; estimating non-additive parameters, correlations, and genotype by environment interactions, molecular genetics and trait variations; and calculating inbreeding using SNP markers.

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Basu, Sudipta, and Steven P. C. Groot. "Seed Vigour and Invigoration." In Seed Science and Technology. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-5888-5_4.

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AbstractSeed vigour is an important aspect of seed quality. It is a quantitative trait which is responsible for overall seed performance in terms of rate and uniformity of seed germination, seedling growth, emergence ability under unfavourable environments and post storage performance. Seed vigour is controlled by genetic factors, initial seed quality, production environments, harvesting and storage conditions. Seed vigour tests provide a more sensitive index of seed performance per se than the germination test. Efforts have been focused on developing novel or improving existing methods of vig

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Anjum, Muhammad, Moizzah Asif, and Jonathan Williams. "Towards an Optimal Deep Neural Network for SOC Estimation of Electric-Vehicle Lithium-Ion Battery Cells." In Springer Proceedings in Energy. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63916-7_2.

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AbstractThis paper has identified a minimal configuration of a DNN architecture and hyperparameter settings to effectively estimate SOC of EV battery cells. The results from the experimental work has shown that a minimal configuration of hidden layers and neurons can reduce the computational cost and resources required without compromising the performance. This is further supported by the number of epochs taken to train the best DNN SOC estimations model. Hence, demonstrating that, the risk of overfitting estimation models to training datasets, can also be subsided. This is further supported b

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Patil, Ganapati P., Sharad D. Gore, and Charles Taillie*. "Estimating Prevalence of a Trait." In Composite Sampling. Springer US, 2010. http://dx.doi.org/10.1007/978-1-4419-7628-4_4.

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Fabbricatore, Rosa, and Francesco Palumbo. "Clustering students according to their proficiency: a comparison between different approaches based on item response theory models." In Proceedings e report. Firenze University Press, 2021. http://dx.doi.org/10.36253/978-88-5518-461-8.09.

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Evaluating learners' competencies is a crucial concern in education, and home and classroom structured tests represent an effective assessment tool. Structured tests consist of sets of items that can refer to several abilities or more than one topic. Several statistical approaches allow evaluating students considering the items in a multidimensional way, accounting for their structure. According to the evaluation's ending aim, the assessment process assigns a final grade to each student or clusters students in homogeneous groups according to their level of mastery and ability. The latter repre

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Conference papers on the topic "Trait estimation"

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Zhang, Ao, Minghao Chen, Dejie Luan, Guodong Yang, and En Li. "A Monocular Pose Estimation Network for Slender Tubular Train Couplers." In 2024 43rd Chinese Control Conference (CCC). IEEE, 2024. http://dx.doi.org/10.23919/ccc63176.2024.10661734.

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Li, Jiying, Wenxuan Li, and Sanxing Zhao. "A Multi-model Train Positioning Approach Based on Robust Estimation." In 2025 7th International Conference on Information Science, Electrical and Automation Engineering (ISEAE). IEEE, 2025. https://doi.org/10.1109/iseae64934.2025.11041924.

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Alonso, Pablo, Maider Larrazabal, Aitor Iglesias, Nerea Aranjuelo, Mikel Labayen, and Marcos Nieto. "Real-Time Multi-Camera System for on-Board Train Path Estimation." In 2024 IEEE 12th International Conference on Intelligent Systems (IS). IEEE, 2024. http://dx.doi.org/10.1109/is61756.2024.10705203.

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Wen, Zixuan, Jingxuan Bao, Shu Yang, et al. "Multiscale Estimation of Morphometricity for Revealing Neuroanatomical Basis of Cognitive Traits." In 2024 IEEE International Symposium on Biomedical Imaging (ISBI). IEEE, 2024. http://dx.doi.org/10.1109/isbi56570.2024.10635581.

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Epstein, Zachary B., Yan Li, Dalibor Todorovski, and Bahman Hafizi. "Theoretical Estimation of Passive HF Signal from a Meteorite Plasma Trail." In 2025 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM). IEEE, 2025. https://doi.org/10.23919/usnc-ursinrsm66067.2025.10907201.

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Zhao, Yi, Tao Wen, and Baigen Cai. "A Kalman Filter Method for Train Operation State Estimation that Use Underdetermined Least Squares Estimation Model Error." In 2024 China Automation Congress (CAC). IEEE, 2024. https://doi.org/10.1109/cac63892.2024.10865714.

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Volkov, D. P., and S. А. Zaytsev. "ESTIMATION OF COMBINING ABILITY OF CORN LINES IN DIALLELE CROSSES BY AN AMOUNT OF SEEDS FROM A COB." In 11-я Всероссийская конференция молодых учёных и специалистов «Актуальные вопросы биологии, селекции, технологии возделывания и переработки сельскохозяйственных культур». V.S. Pustovoit All-Russian Research Institute of Oil Crops, 2021. http://dx.doi.org/10.25230/conf11-2021-29-32.

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We estimated combining ability of inbred corn lines by a trait amount of seeds from a cob’. Amount of seeds from a cob is one of the important traits for plant selection with a purpose to increase their yield. Prevalence of additive effects of gens in a control of this trait is noted. We revealed lines with low and high meanings of combining ability by an amount of seeds from a cob.

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Akanno, E. C., D. M. Thekkoot, C. Zhang, C. Bierman, G. Plastow, and R. A. Kemp. "300. Multi-trait genomic estimation of genetic parameters for growth and carcass traits of Duroc pigs." In World Congress on Genetics Applied to Livestock Production. Wageningen Academic Publishers, 2022. http://dx.doi.org/10.3920/978-90-8686-940-4_300.

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O'Byrne, Patricia, Patrick Jackman, Damon Berry, Hector-Hugo Franco-Pena, Michael French, and Robert J. Ross. "Transfer Learning Performance for Remote Pastureland Trait Estimation in Real-Time Farm Monitoring." In IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2021. http://dx.doi.org/10.1109/igarss47720.2021.9553222.

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Demirkus, Meltem, Doina Precup, James J. Clark, and Tal Arbel. "Soft biometric trait classification from real-world face videos conditioned on head pose estimation." In 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPR Workshops). IEEE, 2012. http://dx.doi.org/10.1109/cvprw.2012.6239227.

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Reports on the topic "Trait estimation"

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Seroussi, Eyal, and George Liu. Genome-Wide Association Study of Copy Number Variation and QTL for Economic Traits in Holstein Cattle. United States Department of Agriculture, 2010. http://dx.doi.org/10.32747/2010.7593397.bard.

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Copy number variation (CNV) has been recently identified in human and other mammalian genomes and increasing awareness that CNV might be a major source for heritable variation in complex traits has emerged. Despite this, little has been published on CNVs in Holsteins. In order to fill this knowledge-gap, we proposed a genome-wide association study between quantitative trait loci (QTL) for economic traits and CNV in the Holstein cattle. The approved feasibility study was aimed at the genome-wide characterization of CNVs in Holstein cattle and at the demonstrating of their possible association w

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Fridman, Eyal, Jianming Yu, and Rivka Elbaum. Combining diversity within Sorghum bicolor for genomic and fine mapping of intra-allelic interactions underlying heterosis. United States Department of Agriculture, 2012. http://dx.doi.org/10.32747/2012.7597925.bard.

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Heterosis, the enigmatic phenomenon in which whole genome heterozygous hybrids demonstrate superior fitness compared to their homozygous parents, is the main cornerstone of modern crop plant breeding. One explanation for this non-additive inheritance of hybrids is interaction of alleles within the same locus. This proposal aims at screening, identifying and investigating heterosis trait loci (HTL) for different yield traits by implementing a novel integrated mapping approach in Sorghum bicolor as a model for other crop plants. Originally, the general goal of this research was to perform a gene

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Su, Hailin, Dorian J. Garrick, Bruce Golden, and Lauren Hyde. Estimation of Genetic Parameters for Carcass Traits and Their Corresponding Ultrasound Measurements in Crossbred Beef Cattle. Iowa State University, 2016. http://dx.doi.org/10.31274/ans_air-180814-486.

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Soller, Moshe (Morris), Hans Cheng, and Lyman Crittenden. Mapping the Chicken Genome, Including Loci Affecting Traits of Economic Importance. United States Department of Agriculture, 1994. http://dx.doi.org/10.32747/1994.7568779.bard.

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A total of 195 microsatellites were added to the chicken genome map. Mapping of fifty known genes revealed a high degree of conserved linkage order between human and chicken genomes. A new, statistically powerful mapping design, the full-sib intercross line (produced by mating two parents, and intercrossing their progeny over a number of generations), was developed for use in species with high reproductive capacity. The Jerusalem Resource Population (JRP), now at the F12 generation, was established to implement this design i chickens. The biometrical picutre in the JRP is similar to that gener

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Chierichetti, Maria, and Fatemeh Davoudi Kakhki. Latent Active Transportation Methodology. Mineta Transportation Institute, 2025. https://doi.org/10.31979/mti.2025.2309.

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Understanding and estimating latent demand for active transportation, such as walking and cycling, is essential for designing infrastructure and policies that promote sustainable mobility. Unlike traditional demand models that focus on observed trips, latent demand estimation seeks to quantify the unrealized potential for active travel due to barriers such as inadequate infrastructure, safety concerns, or lack of connectivity. This study develops a comprehensive latent demand model tailored for California, integrating geospatial analysis and multimodal accessibility assessments. The methodolog

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Lin, Pei-Sung. Coordinated Pre-Preemption of Traffic Signals to Enhance Railroad Grade Crossing Safety in Urban Areas and Estimation of Train Impacts to Arterial Travel Time Delay. University of South Florida, 2004. http://dx.doi.org/10.5038/cutr-nctr-rr-2014-06.

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Valenzuela, Patricio, and Hugo R. Ñopo. Becoming an Entrepreneur. Inter-American Development Bank, 2007. http://dx.doi.org/10.18235/0010974.

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Using the 1996-2001 Chilean CASEN Panel Survey, this paper analyzes the impact on income of the switch from salaried employment to entrepreneurship (self-employment and leadership of micro-enterprises). By means of a difference-in-differences non-parametric matching estimator the paper alleviates problems of selection bias (on observable and unobservable traits) and creates the appropriate counterfactuals of interest. The results indicate that the income gains associated with the switch from salaried employment to entrepreneurship are positive, statistically significant and financially substan

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Powers, Claire, Erin Borgman, Daniel Doak, Erin Borgman, Daniel Doak, and Claire Powers. Climate and species traits shape responses of alpine flora in the US Rocky Mountains to a changing world: Analysis of five GLORIA sites across the southern Rockies. National Park Service, 2024. https://doi.org/10.36967/2306920.

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The Global Observation Research Initiative in Alpine Environments (GLORIA) is a world-wide network of sites dedicated to monitoring changes in alpine flora near mountain tops. In this project we analyzed data collected at 5 sets of GLORIA monitoring sites in the Rocky Mountains of the western USA. Each site was visited between 2 and 4 times in the years spanning 2003 to 2021. These sites include four National Parks (Great Sand Dunes National Park and Preserve, Rocky Mountain National Park, Yellowstone National Park, and Glacier National Park) and one wilderness area in the Pecos Wilderness wit

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Lers, Amnon, Majid R. Foolad, and Haya Friedman. genetic basis for postharvest chilling tolerance in tomato fruit. United States Department of Agriculture, 2014. http://dx.doi.org/10.32747/2014.7600014.bard.

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ABSTRACT Postharvest losses of fresh produce are estimated globally to be around 30%. Reducing these losses is considered a major solution to ensure global food security. Storage at low temperatures is an efficient practice to prolong postharvest performance of crops with minimal negative impact on produce quality or human health and the environment. However, many fresh produce commodities are susceptible to chilling temperatures, and the application of cold storage is limited as it would cause physiological chilling injury (CI) leading to reduced produce quality. Further, the primary CI becom

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Meloche, Jean-Philippe, François Vaillancourt, Martin Trépanier, Brigitte Milord, and Feriel Grine. Encadrer les livraisons à domicile pour réduire les impacts négatifs du commerce de détail électronique dans les villes. CIRANO, 2025. https://doi.org/10.54932/fjrk1446.

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Ce projet de recherche vise à documenter les défis urbains associés au commerce de détail électronique, notamment en ce qui a trait aux impacts environnementaux, à la congestion et aux conflits d’usage des voies publiques causés par les livraisons de colis à domicile. Il vise à répertorier les pistes de solutions pour en atténuer les impacts. Pour ce faire, trois types d’informations sont mobilisés. La première source d’information repose sur une revue de littérature exploratoire portant sur la littérature scientifique et la littérature grise associées aux livraisons à domicile qui découlent d

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