Relevant bibliographies by topics / Fractional regression

Contents

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

Academic literature on the topic 'Fractional regression'

Author: Grafiati
Published: 7 September 2021
Last updated: 29 July 2025

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Journal articles on the topic "Fractional regression"

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Awadalla, Muath, Yves Yannick Yameni Noupoue, Yucel Tandogdu, and Kinda Abuasbeh. "Regression Coefficient Derivation via Fractional Calculus Framework." Journal of Mathematics 2022 (April 9, 2022): 1–9. http://dx.doi.org/10.1155/2022/1144296.

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This study focuses on deriving coefficients of a simple linear regression model and a quadratic regression model using fractional calculus. The work has proven that there is a smooth connection between fractional operators and classical operators. Moreover, it has also been shown that the least squares method is classically used to obtain coefficients of linear and quadratic models that are viewed as special cases of the more general fractional derivative approach which is proposed.
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Murteira, José M. R., and Joaquim J. S. Ramalho. "Regression Analysis of Multivariate Fractional Data." Econometric Reviews 35, no. 4 (2014): 515–52. http://dx.doi.org/10.1080/07474938.2013.806849.

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Chatterjee, Aditya, Subho Sankar Sarkar, and Suvas Nandi. "Petrological Mixing ­ A Regression Approach." Calcutta Statistical Association Bulletin 50, no. 1-2 (2000): 79–94. http://dx.doi.org/10.1177/0008068320000108.

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The geochemical processes of fractional crystallization of a magma, partial fusion of a rock and assimilation or hybridization of rock(s) and/or magma(s) are generally termed as petrological mixing process. In the present paper a unified attempt has been made to describe the three processes under the purview of regression model. As the data involved are essentially compositional in nature, their suitable log-ratio transforms have been utilized and the constrained least squares principle has been applied to reach a meaningful solution. A highly accommodative procedure is suggested so as to desc
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Wulff, Jesper N. "Generalized two-part fractional regression with cmp." Stata Journal: Promoting communications on statistics and Stata 19, no. 2 (2019): 375–89. http://dx.doi.org/10.1177/1536867x19854017.

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Researchers who model fractional dependent variables often need to consider whether their data were generated by a two-part process. Two-part models are ideal for modeling two-part processes because they allow us to model the participation and magnitude decisions separately. While community-contributed commands currently facilitate estimation of two-part models, no specialized command exists for fitting two-part models with process dependency. In this article, I describe generalized two-part fractional regression, which allows for dependency between models’ parts. I show how this model can be
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Zhang, Zhongheng. "Multivariable fractional polynomial method for regression model." Annals of Translational Medicine 4, no. 9 (2016): 174. http://dx.doi.org/10.21037/atm.2016.05.01.

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Villadsen, Anders Ryom, and Jesper Wulff. "Fractional Regression Models in Strategic Management Research." Academy of Management Proceedings 2018, no. 1 (2018): 11217. http://dx.doi.org/10.5465/ambpp.2018.53.

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Schmidt-Hieber, Johannes. "Asymptotic equivalence for regression under fractional noise." Annals of Statistics 42, no. 6 (2014): 2557–85. http://dx.doi.org/10.1214/14-aos1262.

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Tang, Shaowu, Jong-Hyeon Jeong, and Chi Song. "Fractional logistic regression for censored survival data." Journal of Statistical Research 51, no. 2 (2018): 101–14. http://dx.doi.org/10.47302/jsr.2017510201.

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In the analysis of time-to-event data, e.g. from cancer studies, the group effect of main interest such as treatment effect of a chemo-therapy often needs to be adjusted by confounding factors (possibly continuous) such as hormonal receptor status, age at diagnosis, and pathological tumor size, when the study outcome is affected by their imbalanced distributions across the comparison groups. The median, or quantile, is a popular summary measure for censored survival data due to its robustness. In this paper, first the logistic regression is extended to fractional responses transformed from cen
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Paik, Minhui, and Michael D. Larsen. "Fractional Regression Hot Deck Imputation Weight Adjustment." Communications in Statistics - Simulation and Computation 42, no. 7 (2013): 1514–32. http://dx.doi.org/10.1080/03610918.2012.667475.

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Cang, Yuquan, Junfeng Liu, and Yan Zhang. "Nonparametric Regression with Subfractional Brownian Motion via Malliavin Calculus." Abstract and Applied Analysis 2014 (2014): 1–14. http://dx.doi.org/10.1155/2014/635917.

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We study the asymptotic behavior of the sequenceSn=∑i=0n-1K(nαSiH1)(Si+1H2-SiH2),asntends to infinity, whereSH1andSH2are two independent subfractional Brownian motions with indicesH1andH2, respectively.Kis a kernel function and the bandwidth parameterαsatisfies some hypotheses in terms ofH1andH2. Its limiting distribution is a mixed normal law involving the local time of the sub-fractional Brownian motionSH1. We mainly use the techniques of Malliavin calculus with respect to sub-fractional Brownian motion.
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Dissertations / Theses on the topic "Fractional regression"

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McCants, Michael. "Efficacy of robust regression applied to fractional factorial treatment structures." Thesis, Kansas State University, 2011. http://hdl.handle.net/2097/9260.

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Master of Science<br>Department of Statistics<br>James J. Higgins<br>Completely random and randomized block designs involving n factors at each of two levels are used to screen for the effects of a large number of factors. With such designs it may not be possible either because of costs or because of time to run each treatment combination more than once. In some cases, only a fraction of all the treatments may be run. With a large number of factors and limited observations, even one outlier can adversely affect the results. Robust regression methods are designed to down-weight the adverse affe
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Lee, Wonwoo. "Fractional principal components regression: a general approach to biased estimators." Diss., Virginia Polytechnic Institute and State University, 1986. http://hdl.handle.net/10919/49819.

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Fernández, Villegas Renzo. "A beta inflated mean regression model with mixed effects for fractional response variables." Master's thesis, Pontificia Universidad Católica del Perú, 2017. http://tesis.pucp.edu.pe/repositorio/handle/123456789/8847.

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In this article we propose a new mixed effects regression model for fractional bounded response variables. Our model allows us to incorporate covariates directly to the expected value, so we can quantify exactly the influence of these covariates in the mean of the variable of interest rather than to the conditional mean. Estimation is carried out from a Bayesian perspective and due to the complexity of the augmented posterior distribution we use a Hamiltonian Monte Carlo algorithm, the No-U-Turn sampler, implemented using Stan software. A simulation study for comparison, in terms of bias and
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Weiershäuser, Arno [Verfasser]. "Piecewise polynomial regression with fractional residuals for the analysis of calcium imaging data / Arno Weiershäuser." Konstanz : Bibliothek der Universität Konstanz, 2012. http://d-nb.info/1021315745/34.

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Chakma, Bhaswar. "Using fractional regression models to analyse the determinants of capital structure and efficiency of european manufacturing firms." Master's thesis, Universidade de Évora, 2017. http://hdl.handle.net/10174/21052.

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Quando a variável dependente num modelo econométrico tem uma natureza fraccionária, correspondendo a uma proporção ou taxa, o modelo de regressão linear não é a forma mais indicada de modelar essa variável. Em vez disso, deve usar-se o chamado modelo de regressão para dados fraccionários, o qual tem em conta a natureza proporcional e limitada da variável dependente. Esta dissertação descreve as principais características deste modelo e realiza dois estudos empirícos que ilustram a sua utilidade na área da Economia e Finanças. O primeiro estudo analisa a estrutura de capital de empresas transfo
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Stoebner, Timothy J. "GEOGRAPHIC EFFECTS OF CLIMATE CHANGE ON MAJOR RURAL LAND COVERS OF THE CENTRAL UNITED STATES." OpenSIUC, 2014. https://opensiuc.lib.siu.edu/dissertations/902.

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Geographic research on the Corn Belt and other regional landscapes of the central U.S. has not to date identified quantitatively the climatic, edaphic, topographic, and economic characteristics that determine rural land cover, and that therefore govern land cover change. Using the USDA/NASS Cropland Data Layer, this study identifies these characteristics using Multivariable Fractional Polynomials within a logistic regression framework. It maps the suitability distribution for corn, soybeans, spring and winter wheat, cotton, grassland, and forest land covers that dominate the central U.S., at
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Hudson, Richard James Frederick. "Long memory spectral regression : an approach using generalised least squares." Thesis, Queensland University of Technology, 2002.

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Alves, André Bernardo de Lemos. "Análise da eficiência do setor bancário na UE e os seus determinantes." Doctoral thesis, Universidade de Évora, 2018. http://hdl.handle.net/10174/23099.

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Esta tese tem como objetivo apresentar uma análise integrada da eficiência do sector bancário na União Europeia através da aplicação do método two-stage DEA – Data Envelopment Analysis, que permite a identificação dos determinantes da eficiência numa segunda etapa. A análise desenvolveu-se segundo quatro abordagens de eficiência bancária - produção, intermediação, ativos e rentabilidade – com recurso à base de dados Bankscope. Para cada uma das abordagens foi calculada a eficiência padrão e composta, com vista a expurgar o efeito de bancos falsos-eficientes e aumentar a robustez dos resultados
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Perugu, Harikishan C. "Integrating Advanced Truck Models into Mobile Source PM2.5 Air Quality Modeling." University of Cincinnati / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1377871388.

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Martinez, Raydonal Ospina. "Modelos de regressão beta inflacionados." Universidade de São Paulo, 2008. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-19102009-145726/.

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Nos últimos anos têm sido desenvolvidos modelos de regressão beta, que têm uma variedade de aplicações práticas como, por exemplo, a modelagem de taxas, razões ou proporções. No entanto, é comum que dados na forma de proporções apresentem zeros e/ou uns, o que não permite admitir que os dados provêm de uma distribuição contínua. Nesta tese, são propostas, distribuições de mistura entre uma distribuição beta e uma distribuição de Bernoulli, degenerada em zero e degenerada em um para modelar dados observados nos intervalos [0, 1], [0, 1) e (0, 1], respectivamente. As distribuições propostas são
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Books on the topic "Fractional regression"

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Willi, Sauerbrei, ed. Multivariable model-building: A pragmatic approach to regression analysis based on fractional polynomials for continuous variables. John Wiley, 2008.

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Davidson, James. Asymptotics for Fractional Processes. Oxford University PressOxford, 2025. https://doi.org/10.1093/9780198955207.001.0001.

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Abstract The object of this book is to develop an approach to the large-sample analysis of fractional partial-sum processes, featuring long memory increments. Long memory in a time series, equivalently called strong dependence, is defined to mean that the autocovariance sequence is nonsummable. The processes studied have a linear moving average representation with a single parameter, denoted $d$, to measure the degree of long-run persistence. Long memory means that $d \gt 0$, while $d \lt 0$ defines a special type of short memory known as antipersistence. Antipersistent processes are treated in
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Royston, Patrick, and Willi Sauerbrei. Multivariable Model - Building: A Pragmatic Approach to Regression Anaylsis Based on Fractional Polynomials for Modelling Continuous Variables. Wiley & Sons, Limited, John, 2008.

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Royston, Patrick, and Willi Sauerbrei. Multivariable Model - Building: A Pragmatic Approach to Regression Anaylsis Based on Fractional Polynomials for Modelling Continuous Variables. Wiley & Sons, Incorporated, John, 2008.

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Royston, Patrick, and Willi Sauerbrei. Multivariable Model - Building: A Pragmatic Approach to Regression Anaylsis Based on Fractional Polynomials for Modelling Continuous Variables. Wiley & Sons, Incorporated, John, 2008.

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Zoccali, Carmine, Davide Bolignano, and Francesca Mallamaci. Left ventricular hypertrophy in chronic kidney disease. Edited by David J. Goldsmith. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199592548.003.0107_update_001.

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Alterations in left ventricular (LV) mass and geometry and LV dysfunction increase in prevalence from stage 2 to stage 5 in CKD. Nuclear magnetic resonance is the most accurate and precise technique for measuring LV mass and function in patients with heart disease. Quantitative echocardiography is still the most frequently used means of evaluating abnormalities in LV mass and function in CKD. Anatomically, myocardial hypertrophy can be classified as concentric or eccentric. In concentric hypertrophy, the muscular component of the LV (LV wall) predominates over the cavity component (LV volume).
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Book chapters on the topic "Fractional regression"

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Ibrahim, Vazim, and Joseph Suresh Paul. "Super-Resolution MRI Using Fractional Order Kernel Regression and Total Variation." In Proceedings of International Conference on Computational Intelligence. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-3802-2_15.

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Shabri, Ani, Ruhaidah Samsudin, Wad Ghabban, and Nadhmi A. Gazem. "A Novel Fractional Accumulative Grey Multivariable Regression Model with GA Optimizer for Forecasting Short-Term CO2 Emissions in Malaysia." In Lecture Notes on Data Engineering and Communications Technologies. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-59711-4_7.

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Mills, Terence C. "Granger: Long Memory, Fractional Differencing, Spurious Regressions and Co-integration." In A Very British Affair. Palgrave Macmillan UK, 2013. http://dx.doi.org/10.1057/9781137291264_10.

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Lai, Song, Mingyang Zhao, Zhe Zhao, et al. "EchoMEN: Combating Data Imbalance in Ejection Fraction Regression via Multi-expert Network." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-72083-3_58.

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Berg, Björn, and Charles McClaugherty. "Some Possible Influences on Decomposition Pattern, Regression Model, Stable Fraction, and C Sequestration." In Plant Litter. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38821-7_10.

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Levitt, David G., Dympna Gallagher, and Steven B. Heymsfield. "Physiological Basis of Regression Relationship Between Body Mass Index (BMI) and Body Fat Fraction." In Handbook of Anthropometry. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-1788-1_24.

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George, Sarah, and Katja Salomo. "Der Einfluss räumlicher Ungleichheit auf nachhaltige Alltagsmobilität am Beispiel formal Höhergebildeter." In Handbuch Mobilität und Gesellschaft. Springer Fachmedien Wiesbaden, 2025. https://doi.org/10.1007/978-3-658-37557-7_11.

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Zusammenfassung Um den Klimawandel effektiv zu bekämpfen, ist es von großer Bedeutung, die Bevölkerung zu umweltfreundlichem Verhalten zu motivieren. Dies schließt die Alltagsmobilität ein. Sie zählt zu den größten Quellen von Treibhausgasemissionen. Bisherige Forschungsergebnisse deuten darauf hin, dass Personen mit höherem Bildungsniveau tendenziell umweltfreundlichere Mobilitätsmuster aufweisen, was in der Regel mit einem stärkeren Umweltbewusstsein erklärt wird. Wir untersuchen, inwieweit diese Verhaltensweisen durch sozial-räumliche Faktoren beeinflusst werden. Zum anderen gehen wir belas
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George, Sarah, and Katja Salomo. "Der Einfluss räumlicher Ungleichheit auf nachhaltige Alltagsmobilität am Beispiel formal Höhergebildeter." In Handbuch Mobilität und Gesellschaft. Springer Fachmedien Wiesbaden, 2024. https://doi.org/10.1007/978-3-658-37804-2_11-1.

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Zusammenfassung Um den Klimawandel effektiv zu bekämpfen, ist es von großer Bedeutung, die Bevölkerung zu umweltfreundlichem Verhalten zu motivieren. Dies schließt die Alltagsmobilität ein. Sie zählt zu den größten Quellen von Treibhausgasemissionen. Bisherige Forschungsergebnisse deuten darauf hin, dass Personen mit höherem Bildungsniveau tendenziell umweltfreundlichere Mobilitätsmuster aufweisen, was in der Regel mit einem stärkeren Umweltbewusstsein erklärt wird. Wir untersuchen, inwieweit diese Verhaltensweisen durch sozial-räumliche Faktoren beeinflusst werden. Zum anderen gehen wir belas
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Malefaki, S., P. Economou, and C. Caroni. "Modelling Times Between Events with a Cured Fraction Using a First Hitting Time Regression Model with Individual Random Effects." In Springer Proceedings in Mathematics & Statistics. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18029-8_4.

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Habyarimana, Ephrem, and Nicole Bartelds. "Yield Prediction in Sorghum (Sorghum bicolor (L.) Moench) and Cultivated Potato (Solanum tuberosum L.)." In Big Data in Bioeconomy. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71069-9_17.

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AbstractSorghum and potato pilots were conducted in this work to provide a solution to current limitations (dependability, cost) in crop monitoring in Europe. These limations include yield forecasting based mainly on field surveys, sampling, censuses, and the use of coarser spatial resolution satellites. We used the indexes decribing the fraction of absorbed photosynthetically active radiation as well as the leaf areas derived from Sentinel-2 satellites to predict yields and provide farmers with actionable advice in sorghum biomass and, in combination with WOFOST crop growth model, in cultivat
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Conference papers on the topic "Fractional regression"

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Futas, Peter, Alena Pribulova, Jozef Petrik, Peter Peter Blasko, and Maria Mihalikova. "USE OF REGRESSION ANALYSIS AND SIMULATION TO OPTIMIZE THE COMPOSITION OF THE CAST IRON CHARGE." In 24th SGEM International Multidisciplinary Scientific GeoConference 24. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024/1.1/s04.58.

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Cast iron GG30 (EN-GJL-300C) has excellent mechanical properties and good machinability. It can be used in many industries such as hydraulics, engineering, automotive, oil and gas mining, and processing. It is suitable for the production of compressor and pump components. Return material, technological residue, iron scrap, fractional cast iron, liquid metal, and alloying components can be used as input raw materials in the production of cast iron, the first three were taken into account in the analysis. In practice, it is possible to choose their different ratio. At the same time, their chemic
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Saad, Rahma Sayed, Neven Saleh, Manal Abdel Wahed, and Ahmed M. Salaheldin. "A Combined Deep Learning-Regression Paradigm for Echocardiography-Based Left Ventricle Ejection Fraction Prediction." In 2024 6th Novel Intelligent and Leading Emerging Sciences Conference (NILES). IEEE, 2024. http://dx.doi.org/10.1109/niles63360.2024.10753152.

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Adams, Cedric D., James D. Garber, Frederick H. Walters, and Chanchal Singh. "Verification of Computer Modeled Tubing Life Predictions by Field Data." In CORROSION 1993. NACE International, 1993. https://doi.org/10.5006/c1993-93082.

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Abstract Field data on 21 gas condensate wells containing CO2 have been collected to examine how these data could be used to predict the corrosion rate. The actual corrosion rates were obtained from caliper data or actual time to failure. Thirteen surface parameters were examined and the pH and velocity parameters were found to correlate the best with corrosion rate while the water rate, gas rate and CO2 partial pressure showed much less correlation. A multiple regression of these parameters has produced two empirical equations which show an average corrosion rate difference of 39 mpy (0.99 mm
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Li, Xiuying, and Joel A. Rosenfeld. "Fractional Order System Identification with Occupation Kernel Regression." In 2021 American Control Conference (ACC). IEEE, 2021. http://dx.doi.org/10.23919/acc50511.2021.9483209.

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Wang, Yating, Dan Li, Xinrui Xu, et al. "Logistic Regression with Variable Fractional Gradient Descent Method." In 2020 IEEE 9th Joint International Information Technology and Artificial Intelligence Conference (ITAIC). IEEE, 2020. http://dx.doi.org/10.1109/itaic49862.2020.9338917.

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Wang, Jiabei, Ying Zhou, and Tao He. "Improving the Fractional Snow Cover Estimation Using an Optimized Regression." In IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2022. http://dx.doi.org/10.1109/igarss46834.2022.9884679.

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Li, Qianru, Christophe Tricaud, Rongtao Sun, and YangQuan Chen. "Great Salt Lake Surface Level Forecasting Using FIGARCH Model." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-34909.

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In this paper, we have examined 4 models for Great Salt Lake level forecasting: ARMA (Auto-Regression and Moving Average), ARFIMA (Auto-Regressive Fractional Integral and Moving Average), GARCH (Generalized Auto-Regressive Conditional Heteroskedasticity) and FIGARCH (Fractional Integral Generalized Auto-Regressive Conditional Heteroskedasticity). Through our empirical data analysis where we divide the time series in two parts (first 2000 measurement points in Part-1 and the rest is Part-2), we found that for Part-2 data, FIGARCH offers best performance indicating that conditional heteroscedast
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Domingo, Mark Justine M., and Anton Louise P. de Ocampo. "Sparse Identification for Fractional Order Systems." In SRC. University of Bahrain, 2023. https://doi.org/10.12785/src/1570966802.

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This study extends the Sparse Identification of Nonlinear Dynamics (SINDY) algorithm to the discovery of fractional order systems. The SINDY optimization problem was modified to incorporate candidate fractional orders in the Caputo sense, with discretization executed using Gr¨ unwald-Letnikov f inite differences. Identification of the governing equations was done separately for each state. Noise was handled through weak formulation, while sparse regression was performed via sequential thresholding. Discovery of the correct fractional orders was done through parameter sweep. The results showed
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Jinag, Li, Haibo Mao, Xiaotao Wang, Xiao Feng Li, and Li Qin. "Calculation of Formation Quality Factor by Using Fractional Frequency Exponential Regression Analysis Method." In International Geophysical Conference, Beijing, China, 24-27 April 2018. Society of Exploration Geophysicists and Chinese Petroleum Society, 2018. http://dx.doi.org/10.1190/igc2018-082.

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Mehta, Rajesh, and Navin Rajpal. "General regression neural network based image watermarking scheme using fractional DCT-II transform." In 2013 IEEE Second International Conference on Image Information Processing (ICIIP). IEEE, 2013. http://dx.doi.org/10.1109/iciip.2013.6707612.

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Reports on the topic "Fractional regression"

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Mullahy, John. Multivariate Fractional Regression Estimation of Econometric Share Models. National Bureau of Economic Research, 2010. http://dx.doi.org/10.3386/w16354.

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Over, Thomas, Riki Saito, Andrea Veilleux, et al. Estimation of Peak Discharge Quantiles for Selected Annual Exceedance Probabilities in Northeastern Illinois. Illinois Center for Transportation, 2016. http://dx.doi.org/10.36501/0197-9191/16-014.

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This report provides two sets of equations for estimating peak discharge quantiles at annual exceedance probabilities (AEPs) of 0.50, 0.20, 0.10, 0.04, 0.02, 0.01, 0.005, and 0.002 (recurrence intervals of 2, 5, 10, 25, 50, 100, 200, and 500 years, respectively) for watersheds in Illinois based on annual maximum peak discharge data from 117 watersheds in and near northeastern Illinois. One set of equations was developed through a temporal analysis with a two-step least squares-quantile regression technique that measures the average effect of changes in the urbanization of the watersheds used i
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Ardanaz, Martín, Evelyne Hübscher, Philip Keefer, and Thomas Sattler. Policy Misperceptions, Information, and the Demand for Redistributive Tax Reform: Experimental evidence from Latin America. Inter-American Development Bank, 2022. http://dx.doi.org/10.18235/0004473.

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Scholars have long struggled to understand why individual preferences for redistribution often diverge widely from their material self-interest. The puzzle is acute in Latin America, largely democratic and yet one of the most unequal regions in the world. Using an original online survey experiment spanning 8 countries and 12,000 respondents across Latin America, we find significant evidence for an under-explored explanation: misconceptions regarding the distributional effects of current tax policy. Treated respondents who are informed that an increase in the value-added tax (VAT) is regressive
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Ardanaz, Martín, Evelyne Hübscher, Philip Keefer, and Thomas Sattle. Policy Misperceptions, Information, and the Demand for Redistributive Tax Reform: Experimental Evidence from Latin American Countries. Inter-American Development Bank, 2022. http://dx.doi.org/10.18235/0004655.

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Why do individuals preferences for redistribution often diverge widely from their material self-interest? Using an original online survey experiment spanning eight countries and 12,000 respondents across Latin America, one of the most unequal regions in the world, we find significant evidence for an under-explored explanation: misconceptions regarding the distributional effects of current tax policy. Treated respondents who are informed that an increase in the value added tax (VAT) is regressive are significantly more likely to prefer policy reforms that make the tax more progressive. Treatmen
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Castellano, Mike J., Abraham G. Shaviv, Raphael Linker, and Matt Liebman. Improving nitrogen availability indicators by emphasizing correlations between gross nitrogen mineralization and the quality and quantity of labile soil organic matter fractions. United States Department of Agriculture, 2012. http://dx.doi.org/10.32747/2012.7597926.bard.

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Abstract:
A major goal in Israeli and U.S. agroecosystems is to maximize nitrogen availability to crops while minimizing nitrogen losses to air and water resources. This goal has presented a significant challenge to global agronomists and scientists because crops require large inputs of nitrogen (N) fertilizer to maximize yield, but N fertilizers are easily lost to surrounding ecosystems where they contribute to water pollution and greenhouse gas concentrations. Determination of the optimum N fertilizer input is complex because the amount of N produced from soil organic matter varies with time, space an
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6

Hertel, Thomas, Roman Keeney, Maros Ivanic, and Alan Winters. Distributional Effects of WTO Agricultural Reforms in Rich and Poor Countries. GTAP Working Paper, 2006. http://dx.doi.org/10.21642/gtap.wp33.

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Rich countries’ agricultural trade policies are the battleground on which the future of the WTO’s troubled Doha Round will be determined. Subject to widespread criticism, they nonetheless appear to be almost immune to serious reform, and one of their most common defenses is that they protect poor farmers. Our findings reject this claim. The analysis conducted here uses detailed data on farm incomes to show that major commodity programs are highly regressive in the USA, and that the only serious losses under trade reform are among large, wealthy, farmers in a few heavily protected subsectors. I
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