Relevant bibliographies by topics / Mixed method series model

Contents

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

Academic literature on the topic 'Mixed method series model'

Author: Grafiati
Published: 11 December 2022
Last updated: 31 July 2025

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Journal articles on the topic "Mixed method series model"

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Khoo, Wooi Chen, Seng Huat Ong, and Biswas Atanu. "Coherent Forecasting for a Mixed Integer-Valued Time Series Model." Mathematics 10, no. 16 (2022): 2961. http://dx.doi.org/10.3390/math10162961.

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In commerce, economics, engineering and the sciences, quantitative methods based on statistical models for forecasting are very useful tools for prediction and decision. There is an abundance of papers on forecasting for continuous-time series but relatively fewer papers for time series of counts which require special consideration due to the integer nature of the data. A popular method for modelling is the method of mixtures which is known for its flexibility and thus improved prediction capability. This paper studies the coherent forecasting for a flexible stationary mixture of Pegram and th
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Butorova, Anastasia, Alexander Sergeev, Andrey Shichkin, Alexander Buevich, Elena Baglaeva, and Marina Sergeeva. "Counter-prediction method of the spatial series on the example of the dust content in the snow cover." Geoinformatika, no. 1 (February 8, 2022): 32–39. http://dx.doi.org/10.47148/1609-364x-2022-1-32-39.

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The paper proposes an original approach for predicting the values of the spatial series. This approach can be used, in particular, to recover missing data. The counter-prediction method was tested on a model of an artificial neural network (ANN), which is sequentially trained on the values preceding the predicted segment of the series on the left and right. The final prediction of the model is the weighted average of the results of these two sets. We have tested the work of the method using the example of predicting the dust content in the snow cover. 256 snow samples were taken with a step of
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Chamidah, Nur, Budi Lestari, I. Nyoman Budiantara, and Dursun Aydin. "Estimation of Multiresponse Multipredictor Nonparametric Regression Model Using Mixed Estimator." Symmetry 16, no. 4 (2024): 386. http://dx.doi.org/10.3390/sym16040386.

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In data analysis using a nonparametric regression approach, we are often faced with the problem of analyzing a set of data that has mixed patterns, namely, some of the data have a certain pattern and the rest of the data have a different pattern. To handle this kind of datum, we propose the use of a mixed estimator. In this study, we theoretically discuss a developed estimation method for a nonparametric regression model with two or more response variables and predictor variables, and there is a correlation between the response variables using a mixed estimator. The model is called the multire
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Dozie, K. C. N., and M. U. Uwaezuoke. "The Proposed Buys-Ballot Estimates for Multiplicative Model with the Error Variances." Journal of Engineering Research and Reports 25, no. 8 (2023): 94–106. http://dx.doi.org/10.9734/jerr/2023/v25i8962.

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This article presents the condition(s) under which the multiplicative model with the error variances best describes the pattern in an observed time series, while comparing it with those of the additive and mixed models. The method of estimation is based on the periodic, seasonal and overall averages and variances of time series data arranged in a Buys-Ballot table. The method assumes that (1) the underlying distribution of the variable, X i j , i = 1, 2, ..., m , j = 1 , 2 , ..., s , under study is normal. (2) the trending curve is linear (3) the decomposition method is either additive or mult
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Shi, Sheng-zhe, Ting Jiang, Fan Wang, and Xiao-long Zheng. "Study on the Measured Signal Analysis Method Based on Sine Curve-fit Method for Ship Model Seakeeping Test." Journal of Physics: Conference Series 2419, no. 1 (2023): 012030. http://dx.doi.org/10.1088/1742-6596/2419/1/012030.

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Abstract Ship model seakeeping test measure data included frequency ponderances of syntonic waves, mixed waves, and white noise, which affect the test result. Heave time series and pitch time series of planning hull model seakeeping test are calculated by the three-parameter sine wave curve-fit method. Amplitude, angular frequency, and phase angle are obtained. The result shows that the distortion degrees of heave and pitch decrease gradually with an increase in wavelength; when the test wavelength is 8.8m, the distortion degrees of heave and pitch are the smallest, which reach 2.79% and 4.69%
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Li, Xinxin, Xixia Ma, Xiaodong Li, and Wenjiang Zhang. "Method Consideration of Variation Diagnosis and Design Value Calculation of Flood Sequence in Yiluo River Basin, China." Water 12, no. 10 (2020): 2722. http://dx.doi.org/10.3390/w12102722.

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The conventional approaches of the design flood calculation are based on the assumption that the hydrological time series is subject to the same distribution in the past, present, and future, i.e., the series should be consistent. However, the traditional methods may result in overdesign in the water conservancy project since the series has non-stationary variations due to climate change and human activities. Therefore, it is necessary to develop a new approach for frequency estimation of non-stationary time series of extreme values. This study used four kinds of mutation test methods (the lin
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Shi, Wenyu, Dechang Yang, and Payman Dehghaniang. "Short-term load forecasting of mixed industrial users in distribution networks using DARTS-LSTM method." Journal of Physics: Conference Series 2814, no. 1 (2024): 012052. http://dx.doi.org/10.1088/1742-6596/2814/1/012052.

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Abstract Load forecasting has perennially stood as a fundamental pillar within the power industry, with precision in prognostication constituting a paramount necessity for critical functions including grid management, optimization of energy storage, and response to demand fluctuations. In the present study, we introduce a comprehensive global modeling prediction framework aimed at forecasting large-scale power demand within time series data, alongside the development of a novel short-term power load forecasting model. By integrating all time series data pertaining to the same regression task a
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I Wayan Sudiarsa, Sudiarsa, Mirah Ni Putu Ayu Mirah Mariati, and Sukma Ni Made Sukma Sanjiwani. "APPLIED MIXED KERNEL AND FOURIER SERIES MODELLING IN NONPARAMETRIC REGRESSION." Jurnal Ilmiah Ilmu Terapan Universitas Jambi 8, no. 2 (2024): 622–33. http://dx.doi.org/10.22437/jiituj.v8i2.36246.

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There are three nonparametric regression approaches, namely, parametric, nonparametric and semi-parametric regression. Nonparametric regression allows the response variable to follow a different curve from one predictor variable to another. In paired data, the components of predictor variable and the response variable are assumed to follow unknown data patterns, so that they can be approximated by a kernel based regression model and Fourier series. The base components are approximated by kernel functions and Fourier series functions. Error is assumed to be normally distributed with zero mean a
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Octavanny, Made Ayu Dwi, I. Nyoman Budiantara, Heri Kuswanto, and Dyah Putri Rahmawati. "Nonparametric Regression Model for Longitudinal Data with Mixed Truncated Spline and Fourier Series." Abstract and Applied Analysis 2020 (December 9, 2020): 1–11. http://dx.doi.org/10.1155/2020/4710745.

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Existing literature in nonparametric regression has established a model that only applies one estimator to all predictors. This study is aimed at developing a mixed truncated spline and Fourier series model in nonparametric regression for longitudinal data. The mixed estimator is obtained by solving the two-stage estimation, consisting of a penalized weighted least square (PWLS) and weighted least square (WLS) optimization. To demonstrate the performance of the proposed method, simulation and real data are provided. The results of the simulated data and case study show a consistent finding.
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Cheng, Yafang, Ping Feng, Jianzhu Li, Yuangang Guo, and Peizhen Ren. "Water Supply Risk Analysis Based on Runoff Sequence Simulation with Change Point under Changing Environment." Advances in Meteorology 2019 (September 8, 2019): 1–16. http://dx.doi.org/10.1155/2019/9619254.

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This study investigates the water supply risk of Panjiakou reservoir in the Luanhe River basin of China during 1956–2016 under environmental change. Since the monthly runoff series during 1956–2016 is a time series with change points, it is necessary to find a new stochastic streamflow series generation approach to preserve the statistical characteristics of the original series and to refine the reliability of water supply risk analysis. This paper improves a known stochastic streamflow simulation method of previous research to better reflect the characteristics of series with change points. A
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Dissertations / Theses on the topic "Mixed method series model"

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Roberts, Robert E. "A study of the cognitive and affective characteristics of high and low achievers in Year 10 algebra." Thesis, Queensland University of Technology, 2003. https://eprints.qut.edu.au/36679/1/36679_Digitised%20Thesis.pdf.

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This study focused on successful performance in school algebra. It sought to determine what high achievers in Year 10 algebra knew and felt about algebra that enabled them to succeed while their peers were less successful. The study aimed to identify essential cognitive and affective variables which associate significantly with successful performance in algebra and to develop a model to explain how these variables interact to facilitate that success. Implications for instruction were then drawn and recommendations made relating to curriculum design, teacher education and further associated res
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Fassler, Andreas. "Merging Task-Centered Social Work and Motivational Interviewing in Outpatient Medication Assisted Substance Abuse Treatment: Model Development for Social Work Practice." VCU Scholars Compass, 2007. http://hdl.handle.net/10156/1977.

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Sima, Adam. "Accounting for Model Uncertainty in Linear Mixed-Effects Models." VCU Scholars Compass, 2013. http://scholarscompass.vcu.edu/etd/2950.

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Standard statistical decision-making tools, such as inference, confidence intervals and forecasting, are contingent on the assumption that the statistical model used in the analysis is the true model. In linear mixed-effect models, ignoring model uncertainty results in an underestimation of the residual variance, contributing to hypothesis tests that demonstrate larger than nominal Type-I errors and confidence intervals with smaller than nominal coverage probabilities. A novel utilization of the generalized degrees of freedom developed by Zhang et al. (2012) is used to adjust the estimate of t
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Hanh, Nguyen T. "Lasso for Autoregressive and Moving Average Coeffients via Residuals of Unobservable Time Series." University of Toledo / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=toledo154471227291601.

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Jahng, Seungmin Kolenikov Stanislav. "A mixed model for variance of successive difference of stationary time series modeling temporal instability in intensive longitudinal data /." Diss., Columbia, Mo. : University of Missouri--Columbia, 2008. http://hdl.handle.net/10355/6279.

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Title from PDF of title page (University of Missouri--Columbia, viewed on Feb. 18, 2010). The entire thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical public abstract appears in the public.pdf file. Dr. Stanislav Kolenikov, Thesis Supervisor Includes bibliographical references.
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Kjellsson, Maria C. "Methodological Studies on Models and Methods for Mixed-Effects Categorical Data Analysis." Doctoral thesis, Uppsala : Acta Universitatis Upsaliensis, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-9333.

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Oldham, Alexis Jean. "Modulation of lipid domain formation in mixed model systems by proteins and peptides." View electronic thesis, 2008. http://dl.uncw.edu/etd/2008-1/r1/oldhama/alexisoldham.pdf.

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Alharbi, Basmah Fehaid H. "Young Saudi women’s beliefs upon their engagement in physical activity: A mixed method study." Thesis, Queensland University of Technology, 2022. https://eprints.qut.edu.au/227842/1/Basmah%20Fehaid%20H_Alharbi_Thesis.pdf.

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A culturally sensitive and theory-based questionnaire, the Belief-Based Physical Activity Questionnaire for young Saudi females aged 18-35, (BPAQ-YSF) was developed, validated, and adapted to the Saudi culture. Based on the Theory of Planned Behaviour, the research identified Saudi females' physical activity beliefs, developed a valid, theory-based questionnaire for Saudi Arabic culture, and identified the psychosocial factors that influence their engagement in physical activity. An exploratory sequential mixed-methods design was used to conduct five integrated studies. This resear
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Olesen, Terry. "Individual adaptation to discontinuous employment for Australian workers : a longitudinal mixed method study." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2012. https://ro.ecu.edu.au/theses/522.

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This thesis research has had two aims: first, to determine how discontinuous (or “casual”) employment impacts on quality of life, mental health, and coping for a population of Australian job seekers; second, to determine how different groups of workers differ in coping style, quality of life, and mental health when dealing with discontinuous (casual, short-term) work. To address these aims a national survey was conducted of white collar, business and technical/scientific workers (N=229 at Time 1). Workers were sampled three times over the study period of nine months. The mixed method design co
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Teuber, Timo [Verfasser]. "Using penalized spline, generalized additive model and mixed model regression techniques to examine univariate and multivariate time series and in particular business cycles / Timo Teuber. Fakultät für Wirtschaftswissenschaften." Bielefeld : Universitätsbibliothek Bielefeld, Hochschulschriften, 2013. http://d-nb.info/1030606137/34.

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Books on the topic "Mixed method series model"

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Miura, Hiroaki. Development of a mixed finite-difference/finite-volume scheme for the shallow water model on a spherical geodesic grid. Center for Climate System Research, University of Tokyo, 2004.

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Delchambre, Alain, and Brahim Rekiek. Assembly Line Design: The Balancing of Mixed-Model Hybrid Assembly Lines with Genetic Algorithms (Springer Series in Advanced Manufacturing). Springer, 2005.

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Mixed Finite Element Methods and Applications Springer Series in Computational Mathematics. Springer-Verlag Berlin and Heidelberg GmbH &, 2013.

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Linear and Generalized Linear Mixed Models and Their Applications (Springer Series in Statistics). Springer, 2007.

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Linear Model Theory: Univariate, Multivariate, and Mixed Models (Wiley Series in Probability and Statistics). Wiley-Interscience, 2006.

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Lasalle, Cigdem. A mathematical model of residence time distribution in a series of equal-sized well-mixed vessels. 1993.

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Shultz, Phil. The Seismic Velocity Model as an Interpretation Asset (Distinguished Instructor Series, Number 2). Society Of Exploration Geophysicists, 1999.

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Moaveni, Babak, H. Sezer Atamturktur, Costas Papadimitriou, and Tyler Schoenherr. Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 33rd IMAC, A Conference and Exposition on Structural Dynamics, 2015 ... Society for Experimental Mechanics Series). Springer, 2016.

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Moaveni, Babak, H. Sezer Atamturktur, Costas Papadimitriou, and Tyler Schoenherr. Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 32nd IMAC, A Conference and Exposition on Structural Dynamics, 2014 ... Society for Experimental Mechanics Series). Springer, 2016.

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Moaveni, Babak, H. Sezer Atamturktur, Costas Papadimitriou, and Tyler Schoenherr. Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 32nd IMAC, A Conference and Exposition on Structural Dynamics, 2014 ... Society for Experimental Mechanics Series). Springer, 2014.

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Book chapters on the topic "Mixed method series model"

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Mundim, Arianne A. S., Maristela O. Santos, and Reinaldo Morabito. "A Bi-objective Mixed Integer Model for the Single Link Inventory Routing Problem Using the 𝜖-Constraint Method." In AIRO Springer Series. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-34960-8_36.

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García Portilla, Jason. "Case Selection Criteria, Methods, and Data Treatment." In “Ye Shall Know Them by Their Fruits”. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78498-0_17.

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AbstractThis chapter examines the criteria for selecting the cases analysed in this study. It explains the application of critical discourse analysis (CDA) as its principal empirical method. It discusses CDA methods and data treatment as well as the empirical analysis of CDA results. Finally, it compares and summarises the case selection criteria.Four countries were compared: Switzerland, Uruguay, Cuba, and Colombia. These cases are also linked to the correlated variables in the quantitative model and to the sufficient conditions in the QCA. Cases were selected based on the “extreme case metho
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Salinas Ruíz, Josafhat, Osval Antonio Montesinos López, Gabriela Hernández Ramírez, and Jose Crossa Hiriart. "Generalized Linear Mixed Models for Proportions and Percentages." In Generalized Linear Mixed Models with Applications in Agriculture and Biology. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-32800-8_6.

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AbstractIn this chapter, we will review generalized linear mixed models (GLMMs) whose response can be either a proportion or a percentage. For proportion and percentage data, we refer to data whose expected value is between 0 and 1 or between 0 and 100. For the remainder of this book, we will refer to this type of data only in terms of proportion, knowing that it is possible to change it to a percentage scale only when multiplying it by 100. Proportions can be classified into two types: discrete and continuous. Discrete proportions arise when the unit of observation consists of N distinct enti
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Kopeć, Wiesław, Anna Jaskulska, Barbara Karpowicz, Grzegorz Pochwatko, Monika Kornacka, and Kinga Skorupska. "A Method for Co-designing Immersive VR Environments with Users Excluded from the Main Technological Discourse." In Digital Interaction and Machine Intelligence. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-37649-8_18.

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AbstractWith the advent of new interfaces and modes of interaction related to virtual, augmented and mixed reality (VR, AR, MR) or voice user interfaces (VUI) a need to explore new approaches to foster rapid software prototyping and development emerges. Drawing from our experiences in human, cooperative, and collaborative aspects of software engineering, based on IT-empowerment and participatory design with older and younger adults, we propose and examine some methods, practices and tools for co-designing software for the immersive extended reality continuum (XR), including VR, AR or VUI. In a
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Holland, Paul M. "Nonideal Mixed Monolayer Model." In ACS Symposium Series. American Chemical Society, 1986. http://dx.doi.org/10.1021/bk-1986-0311.ch008.

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Beisegel, Jesse, Johannes Buhl, Rameez Israr, Johannes Schmidt, Markus Bambach, and Armin Fügenschuh. "Mixed-Integer Programming Models for Two Metal Additive Manufacturing Methods." In Springer INdAM Series. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0776-2_5.

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Amemiya, Yasuo. "On multivariate mixed model analysis." In Institute of Mathematical Statistics Lecture Notes - Monograph Series. Institute of Mathematical Statistics, 1994. http://dx.doi.org/10.1214/lnms/1215463787.

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García Portilla, Jason. "Research Setting." In “Ye Shall Know Them by Their Fruits”. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78498-0_2.

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AbstractHow does Protestantism influence competitiveness and transparency compared to Roman Catholicism in Europe and the Americas? This book answers the research question by applying a “Mixed Methods approach to Grounded Theory” (MM-GT). This chapter expands on the research aims, research question, hypotheses, and research model in this study. The research model synthesises understanding and serves as a rationale for the entire book. The model exhibits the main exogenous theoretical determinants of corruption and prosperity, which are tested empirically.
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Barrau, Thomas, and Raphael Douady. "Estimation Method: The Linear Non-Linear Mixed Model." In Financial Mathematics and Fintech. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97319-3_3.

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Caferra, Ricardo, and Nicolas Peltier. "The Connection Method, Constraints and Model Building." In Applied Logic Series. Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-015-9383-0_5.

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Conference papers on the topic "Mixed method series model"

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Jayasundara, Dilhara, Phillip Gomez, and Ian Randall. "Prediction and Reduction of Blade Wake Interaction Noise in High Solidity Rotors using Multi-Fidelity CFD Analysis." In Vertical Flight Society 81st Annual Forum and Technology Display. The Vertical Flight Society, 2025. https://doi.org/10.4050/f-0081-2025-405.

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Blade–wake interaction (BWI) is a significant source of broadband noise and is often dominant in rotors with high blade counts. Accurately capturing the resulting unsteady blade loading is computationally expensive and, therefore, drives the cost of BWI noise calculation. To address this challenge, a low-fidelity BWI noise prediction tool was developed using aerodynamic data from the blade element momentum theory (BEMT) and the lattice Boltzmann method (LBM) for a series of rotor configurations with medium to high solidity. Starting from a six-bladed baseline rotor, 13 additional configuration
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Huo, Weigang, Yuting Wang, and Lishou Ye. "A Mixed Augmentations Method for Multivariate Time Series Contrastive Learning." In 2024 IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA). IEEE, 2024. https://doi.org/10.1109/ispa63168.2024.00243.

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Aizitili, Aikebaier, and Huiguo Zhang. "Uncertain Semi-parametric Additive Model Based on Orthogonal Series Method." In 2024 IEEE 25th China Conference on System Simulation Technology and its Application (CCSSTA). IEEE, 2024. http://dx.doi.org/10.1109/ccssta62096.2024.10691726.

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Nidhi, Md Abul Kalam, Praveen Kumar, and Amit Kumar Choudhary. "Reduction of Transformer Linear Section Model Using a Novel Mixed Method." In 2024 International BIT Conference (BITCON). IEEE, 2024. https://doi.org/10.1109/bitcon63716.2024.10984936.

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Lyu, Dingyang, Guangming Xia, Huiqian Jin, Zhixuan Liu, Yu Dai, and Jianxun Zhang. "Series Elastic Actuator Vibration Suppression Method Based on Internal Model Control." In 2024 International Conference on Advanced Robotics and Mechatronics (ICARM). IEEE, 2024. http://dx.doi.org/10.1109/icarm62033.2024.10715867.

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Li, Bo, Zhan Shi, Xiaozhi Deng, Zhentian Wu, and Zhihua Yang. "Distributed Photovoltaic Data Compression Method Based on Time Series Prediction Model." In 2024 4th International Conference on New Energy and Power Engineering (ICNEPE). IEEE, 2024. https://doi.org/10.1109/icnepe64067.2024.10860549.

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Wei, Zihong, Yike Lu, and Yu Zhang. "Crop Planting Optimization Based on Random Number Method and Mixed Integer Planning Model." In 2025 IEEE International Conference on Electronics, Energy Systems and Power Engineering (EESPE). IEEE, 2025. https://doi.org/10.1109/eespe63401.2025.10987070.

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He, Xiangbin, Wenhui Ding, Guiling Fan, Yanqin Yin, and Tianli Li. "Multistep time series prediction method integrating hidden Markov model and deep reinforcement learning." In 2025 5th International Conference on Applied Mathematics, Modelling and Intelligent Computing (CAMMIC 2025), edited by Peicheng Zhu and Guihua Lin. SPIE, 2025. https://doi.org/10.1117/12.3070373.

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Mori, Kazuya, Tomotaka Wada, and Kazuhiro Ohtsuki. "Disaster Recognition Method by Time Series Model Based on Deep Learning for ERESS." In 2024 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT). IEEE, 2024. https://doi.org/10.1109/comnetsat63286.2024.10862434.

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Kiriakidis, Kiriakos. "Mixed Mathematical and Physical Modeling for Nonlinear Systems." In ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-81666.

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The paper proposes a finite series expansion to approximate general nonlinear dynamic models to arbitrary accuracy. The method produces an approximation of nonlinear dynamics in the form of an aggregation of linear models, weighted by unimodal basis functions, and results in a linear growth bound on the approximation error. Furthermore, the paper demonstrates that the proposed approximation satisfies the modeling assumptions for analysis based on linear matrix inequalities and hence widens the applicability of these techniques to the area of nonlinear control.
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Reports on the topic "Mixed method series model"

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Koop, Gary, Stuart McIntyre, James Mitchell, Aubrey Poon, and Ping Wu. Incorporating short data into large mixed-frequency VARs for regional nowcasting. Federal Reserve Bank of Cleveland, 2023. http://dx.doi.org/10.26509/frbc-wp-202309.

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Interest in regional economic issues coupled with advances in administrative data is driving the creation of new regional economic data. Many of these data series could be useful for nowcasting regional economic activity, but they suffer from a short (albeit constantly expanding) time series which makes incorporating them into nowcasting models problematic. Regional nowcasting is already challenging because the release delay on regional data tends to be greater than that at the national level, and "short" data imply a "ragged edge" at both the beginning and the end of regional data sets, which
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Arango-Arango, Carlos A., and Yanneth Rocío Betancourt-García. A Mixed Duopoly in the Provision of Payment Services. Banco de la República, 2024. http://dx.doi.org/10.32468/be.1280.

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In this paper, we study the coexistence of cash and electronic payments introducing some distortions in the payments markets to understand the widespread use of cash, specially in emerging countries. Following Lagos andWright (2005) we model explicitly some frictions in the exchange process considering money as essential. We introduce in this theoretical framework, theft and informality (measured by tax evasion), as factors a ecting cash usage and, therefore competition with an electronic payment method. In this paper, segmentation in the payments market is considered by introducing heterogene
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He, Jiachuan, Scott Hansen, and Velimir Valentinov Vesselinov. Analysis of Hydrologic Time Series Reconstruction UncertaintyDue to Inverse Model InadequacyUsing the Laguerre Expansion Method. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1338783.

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Marzouk, Youssef, P. Fast, M. Kraus, and J. P. Ray. A Bayesian method for characterizing distributed micro-releases: II. inference under model uncertainty with short time-series data. Office of Scientific and Technical Information (OSTI), 2006. http://dx.doi.org/10.2172/902883.

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Dy, Sydney M., Julie M. Waldfogel, Danetta H. Sloan, et al. Integrating Palliative Care in Ambulatory Care of Noncancer Serious Chronic Illness: A Systematic Review. Agency for Healthcare Research and Quality (AHRQ), 2020. http://dx.doi.org/10.23970/ahrqepccer237.

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Objectives. To evaluate availability, effectiveness, and implementation of interventions for integrating palliative care into ambulatory care for U.S.-based adults with serious life-threatening chronic illness or conditions other than cancer and their caregivers We evaluated interventions addressing identification of patients, patient and caregiver education, shared decision-making tools, clinician education, and models of care. Data sources. We searched key U.S. national websites (March 2020) and PubMed®, CINAHL®, and the Cochrane Central Register of Controlled Trials (through May 2020). We a
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Jääskeläinen, Emmihenna. Construction of reliable albedo time series. Finnish Meteorological Institute, 2023. http://dx.doi.org/10.35614/isbn.9789523361782.

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A reliable satellite-based black-sky albedo time series is a crucial part of detecting changes in the climate. This thesis studies the solutions to several uncertainties impairing the quality of the black-sky albedo time series. These solutions include creating a long dynamic aerosol optical depth time series for enhancing the removal of atmospheric effects, a method to fill missing data to improve spatial and temporal coverage, and creating a function to correctly model the diurnal variation of melting snow albedo. Mathematical methods are the center pieces of the solutions found in this thes
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Drouillard, Matthew, and Michael Lewis. Time-series reduction for dynamic vector model attribute representation in a geographic information system : exploration of procedure. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/49418.

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Spatiotemporal data, generally in the form of temporal rasters, can be used to analyze phenomena, such as weather patterns or other environ-mental conditions, that vary in time and space. However, spatially extensive datasets over large periods of time become cumbersome to visually represent and to analyze efficiently. In addition, the ability to compactly assign the information contained in the raster time series to overlain vector data model objects and to effectively visualize it is lacking. These two drawbacks can limit the ability to use such data in field-based applications, where nimble
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Williams, Pamela, Katherine Treiman, Brittany Zulkiewicz, et al. Evaluating Multifaceted Community-Based Health Initiatives: A Case Study of a Population Health Initiative. RTI Press, 2025. https://doi.org/10.3768/rtipress.2025.mr.0056.2505.

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This article describes the evaluation approach for Be Well Communities—an initiative of MD Anderson Cancer Center to improve population health—and shares lessons learned for evaluating multifaceted community-based health initiatives. RTI International and MD Anderson developed a robust evaluation to capture changes in processes and outcomes over the multiyear, multicommunity initiative and across a wide range of evidence-based interventions for cancer prevention. The mixed methods evaluation includes data from collaborating organizations’ progress and supplemental reports and from stakeholder
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Rahimi, Noshad. Developing a Mixed-Methods Method to Model Elderly Health Technology Adoption with Fuzzy Cognitive Map, and its Application in Adoption of Remote Health Monitoring Technologies by Elderly Women. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.6395.

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Rebucci, Alessandro, Joong Shik Kang, and Alessandro Prati. Aid, Exports, and Growth: A Time-Series Perspective on the Dutch Disease Hypothesis. Inter-American Development Bank, 2010. http://dx.doi.org/10.18235/0010989.

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The available evidence on the effects of aid on growth is notoriously mixed. We use a novel empirical methodology, a heterogeneous panel vector-autoregression model identified through factor analysis, to study the dynamic response of exports, imports, and per capita GDP growth to a "global" aid shock (the common component of individual country aid-to-GDP ratios). We find that the estimated cumulative resposive of exports and per capita GDP growth to a global aid shock are strongly positively correlated, and both responses are inversely related to exchange rate overvaluation measures. We interp
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