Academic literature on the topic 'Random fixed'

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Journal articles on the topic "Random fixed"

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Thang, Dang Hung, and Pham The Anh. "Random fixed points of completely random operators." Random Operators and Stochastic Equations 21, no. 1 (2013): 1–20. http://dx.doi.org/10.1515/rose-2013-0001.

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Shahzad, N. "Random fixed points of discontinuous random maps." Mathematical and Computer Modelling 41, no. 13 (2005): 1431–36. http://dx.doi.org/10.1016/j.mcm.2004.02.036.

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Khan, Abdul Rahim, and Nawab Hussain. "Random fixed points for ∗-nonexpansive random operators." Journal of Applied Mathematics and Stochastic Analysis 14, no. 4 (2001): 341–49. http://dx.doi.org/10.1155/s1048953301000302.

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The notion of a ∗-nonexpansive multivalued map is different from that of a continuous map. In this paper we prove some fixed point theorems for ∗-nonexpansive multivalued random operators in the setup of Banach spaces and Fréchet spaces. Our work generalizes, refines and improves the earlier results of a number of authors.
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Beg, Ismat, and Naseer Shahzad. "Random approximations and random fixed point theorems." Journal of Applied Mathematics and Stochastic Analysis 7, no. 2 (1994): 145–50. http://dx.doi.org/10.1155/s1048953394000158.

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Papageorgiou, Nikolaos S. "Random fixed points and random differential inclusions." International Journal of Mathematics and Mathematical Sciences 11, no. 3 (1988): 551–59. http://dx.doi.org/10.1155/s0161171288000663.

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In this paper, first, we study random best approximations to random sets, using fixed point techniques, obtaining this way stochastic analogues of earlier deterministic results by Browder-Petryshyn, KyFan and Reich. Then we prove two fixed point theorems for random multifunctions with stochastic domain that satisfy certain tangential conditions. Finally we consider a random differential inclusion with upper semicontinuous orientor field and establish the existence of random solutions.
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Baker, T. H., and P. J. Forrester. "Random walks and random fixed-point free involutions." Journal of Physics A: Mathematical and General 34, no. 28 (2001): L381—L390. http://dx.doi.org/10.1088/0305-4470/34/28/101.

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Khan, A. R., and A. A. Domlo. "Random fixed points of multivalued inward random operators." Journal of Applied Mathematics and Stochastic Analysis 2006 (November 9, 2006): 1–8. http://dx.doi.org/10.1155/jamsa/2006/19428.

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The purpose of this paper is to provide a substantial improvement and random analogues of several results due to Benavides and Ramírez (2004). Our work sets random versions of the results of Shahzad and Lone (2005) and improves the work of Plubtieng and Kumam (2006).
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Beg, Ismat, and Mujahid Abbas. "Common random fixed points of compatible random operators." International Journal of Mathematics and Mathematical Sciences 2006 (2006): 1–15. http://dx.doi.org/10.1155/ijmms/2006/23486.

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We construct a random iteration scheme and study necessary conditions for its convergence to a common random fixed point of two pairs of compatible random operators satisfying Meir-Keeler type conditions in Polish spaces. Some random fixed point theorems for weakly compatible random operators under generalized contractive conditions in the framework of symmetric spaces are also proved.
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Shahzad, Naseer. "Random fixed points of pseudo-contractive random operators." Journal of Mathematical Analysis and Applications 296, no. 1 (2004): 302–8. http://dx.doi.org/10.1016/j.jmaa.2004.04.017.

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Dermoune, Azzouz, and Cristian Preda. "Parametrizations, fixed and random effects." Journal of Multivariate Analysis 154 (February 2017): 162–76. http://dx.doi.org/10.1016/j.jmva.2016.11.001.

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Dissertations / Theses on the topic "Random fixed"

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Gu, Wentao. "Fixed design regression for associated random fields." [Bloomington, Ind.] : Indiana University, 2005. http://wwwlib.umi.com/dissertations/fullcit/3177633.

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Thesis (Ph.D.)--Indiana University, Dept. of Mathematics, 2005.<br>Title from PDF t.p. (viewed Dec. 8, 2008). Source: Dissertation Abstracts International, Volume: 66-05, Section: B, page: 2661. Chairman: Lanh Tran.
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Peacock, Matthew James McKenzie. "Random Matrix Theory Analysis of Fixed and Adaptive Linear Receivers." University of Sydney, 2006. http://hdl.handle.net/2123/985.

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Doctor of Philosophy (PhD)<br>This thesis considers transmission techniques for current and future wireless and mobile communications systems. Many of the results are quite general, however there is a particular focus on code-division multiple-access (CDMA) and multi-input multi-output (MIMO) systems. The thesis provides analytical techniques and results for finding key performance metrics such as signal-to-interference and noise power ratios (SINR) and capacity. This thesis considers a large-system analysis of a general linear matrix-vector communications channel, in order to determine the
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Peacock, Matthew James McKenzie. "Random Matrix Theory Analysis of Fixed and Adaptive Linear Receivers." Thesis, The University of Sydney, 2005. http://hdl.handle.net/2123/985.

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This thesis considers transmission techniques for current and future wireless and mobile communications systems. Many of the results are quite general, however there is a particular focus on code-division multiple-access (CDMA) and multi-input multi-output (MIMO) systems. The thesis provides analytical techniques and results for finding key performance metrics such as signal-to-interference and noise power ratios (SINR) and capacity. This thesis considers a large-system analysis of a general linear matrix-vector communications channel, in order to determine the asymptotic performance of line
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Nwogu, Okey. "Analysis of fixed and floating structures in random multi-directional waves." Thesis, University of British Columbia, 1989. http://hdl.handle.net/2429/29255.

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Offshore structures have traditionally been designed on the assumption of long-crested or uni-directional incident waves. Realistic sea states are however short-crested or multidirectional with a distribution of wave energy over both frequency and direction. The present thesis investigates the influence of the directional spreading of wave energy on the forces on fixed structures and motions of floating structures. The work is both theoretical and experimental, with the experiments carried out at the multi-directional wave basin of the Hydraulics Laboratory at the National Research Council in
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Abdel-Salam, Abdel-Salam Gomaa. "Profile Monitoring with Fixed and Random Effects using Nonparametric and Semiparametric Methods." Diss., Virginia Tech, 2009. http://hdl.handle.net/10919/29387.

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Profile monitoring is a relatively new approach in quality control best used where the process data follow a profile (or curve) at each time period. The essential idea for profile monitoring is to model the profile via some parametric, nonparametric, and semiparametric methods and then monitor the fitted profiles or the estimated random effects over time to determine if there have been changes in the profiles. The majority of previous studies in profile monitoring focused on the parametric modeling of either linear or nonlinear profiles, with both fixed and random effects, under the assumption
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Lin, Xiaojun. "Multiple Random Slope and Fixed Intercept Linear Regression Models for Pavement Condition Forecasting." University of Toledo / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1430364217.

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Du, Ye Ting. "Simultaneous fixed and random effects selection in finite mixtures of linear mixed-effects models." Thesis, McGill University, 2012. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=110592.

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Linear mixed-effects (LME) models are frequently used for modeling longitudinal data. One complicating factor in the analysis of such data is that samples are sometimes obtained from a population with significant underlying heterogeneity, which would be hard to capture by a single LME model. Such problems may be addressed by a finite mixture of linear mixed-effects (FMLME) models, which segments the population into subpopulations and models each subpopulation by a distinct LME model. Often in the initial stage of a study, a large number of predictors are introduced. However, their associations
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Boutaud, Pierre. "Branching random walk : limit cases and minimal hypothesis." Thesis, université Paris-Saclay, 2020. http://www.theses.fr/2020UPASM025.

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La marche aléatoire branchante est un système de particules sur la droite réelle où partant au temps 0 d’une particule initiale en position 0, chaque particule vivante au temps n meurt au temps n + 1 en donnant indépendemment naissance à un nombre aléatoire de particules se dispersant aléatoirement autour de la position de la particule parente. Dans un premier chapitre introductif, nous définissons en détails le modèle de la marche aléatoire branchante ainsi que certains des enjeux de la recherche autour de ce modèle, notamment l’étude de la martingale additive. Cette martingale peut-être étud
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Kang, Youn-Soo. "Delay, Stop and Queue Estimation for Uniform and Random Traffic Arrivals at Fixed-Time Signalized Intersections." Diss., Virginia Tech, 2000. http://hdl.handle.net/10919/27030.

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With the introduction of different forms of adaptive and actuated signal control, there is a need for effective evaluation tools that can capture the intricacies of real-life applications. While the current state-of-the-art analytical procedures provide simple approaches for estimating delay, queue length and stops at signalized intersections, they are limited in scope. Alternatively, several microscopic simulation softwares are currently available for the evaluation of signalized intersections. The objective of this dissertation is fourfold. First, it evaluates the consistency, accuracy, limi
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Castilho, Rafael de Braga. "Estimation of random coefficients logit demand models: an application to the Brazilian fixed income fund market." reponame:Repositório Institucional do FGV, 2013. http://hdl.handle.net/10438/11425.

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Submitted by Rafael de Braga Castilho (rcastilho@fgvmail.br) on 2014-01-06T19:10:15Z No. of bitstreams: 1 MestRafaelCastilho.pdf: 636676 bytes, checksum: f815c7fac86fe9684f4f79cd86ec9f26 (MD5)<br>Approved for entry into archive by Janete de Oliveira Feitosa (janete.feitosa@fgv.br) on 2014-01-15T17:51:37Z (GMT) No. of bitstreams: 1 MestRafaelCastilho.pdf: 636676 bytes, checksum: f815c7fac86fe9684f4f79cd86ec9f26 (MD5)<br>Approved for entry into archive by Marcia Bacha (marcia.bacha@fgv.br) on 2014-01-24T12:33:06Z (GMT) No. of bitstreams: 1 MestRafaelCastilho.pdf: 636676 bytes, checksum: f815
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Books on the topic "Random fixed"

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1959-, Ageel Mohammed I., ed. The analysis of variance: Fixed, random, and mixed models. Birkhäuser, 2000.

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Sahai, Hardeo. The Analysis of Variance: Fixed, Random and Mixed Models. Birkhäuser Boston, 2000.

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Grafarend, Erik. Linear and Nonlinear Models: Fixed effects, random effects, and total least squares. Springer Berlin Heidelberg, 2012.

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Aiyer, Ajay Subramanian. Optimal portfolio selection with fixed transaction costs in the presence of jumps and random drift. Cornell Theory Center, Cornell University, 1996.

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Canada. Fisheries and Oceans Canada. Incorporating fixed and repeat sets in the stratified random survey for groundfish in the Southern Gulf of St. Lawrence. Fisheries and Oceans Canada, 1995.

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Nielsen, G. A. Incorporating fixed and repeat sets in the stratified random survey for groundfish in the Southern Gulf of St. Lawrence. Dept. of Fisheries and Oceans, Science Branch, 1995.

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James, Jessica, Michael Leister, and Christoph Rieger. Random Walks in Fixed Income and Foreign Exchange. De Gruyter, 2021. http://dx.doi.org/10.1515/9783110688733.

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Majumdar, Satya N. Random growth models. Edited by Gernot Akemann, Jinho Baik, and Philippe Di Francesco. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198744191.013.38.

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This article discusses the connection between a particular class of growth processes and random matrices. It first provides an overview of growth model, focusing on the TASEP (totally asymmetric simple exclusion process) with parallel updating, before explaining how random matrices appear. It then describes multi-matrix models and line ensembles, noting that for curved initial data the spatial statistics for large time t is identical to the family of largest eigenvalues in a Gaussian Unitary Ensemble (GUE multi-matrix model. It also considers the link between the line ensemble and Brownian mot
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Zinn-Justin, Jean. From Random Walks to Random Matrices. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198787754.001.0001.

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Theoretical physics is a cornerstone of modern physics and provides a foundation for all modern quantitative science. It aims to describe all natural phenomena using mathematical theories and models and, in consequence, develops our understanding of the fundamental nature of the universe. This book offers an overview of major areas covering the recent developments in modern theoretical physics. Each chapter introduces a new key topic, and develops the discussion in a self-contained manner. At the same time, the selected topics have common themes running throughout the book, which connect the i
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Linear and nonlinear models: Fixed effects, random effects, and mixed models. Walter de Gruyter, 2006.

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Book chapters on the topic "Random fixed"

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Christensen, Ronald. "Fixed and Random Zeros." In Springer Texts in Statistics. Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4757-4111-7_9.

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Christensen, Ronald. "Fixed and Random Zeros." In Springer Texts in Statistics. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-69038-9_8.

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Baltagi, Badi H. "Fixed Effects and Random Effects." In The New Palgrave Dictionary of Economics. Palgrave Macmillan UK, 2018. http://dx.doi.org/10.1057/978-1-349-95189-5_2713.

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Baltagi, Badi H. "Fixed Effects and Random Effects." In The New Palgrave Dictionary of Economics. Palgrave Macmillan UK, 2008. http://dx.doi.org/10.1057/978-1-349-95121-5_2713-1.

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Baltagi, Badi H. "Fixed Effects and Random Effects." In Microeconometrics. Palgrave Macmillan UK, 2010. http://dx.doi.org/10.1057/9780230280816_10.

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Kanters, Steve. "Fixed- and Random-Effects Models." In Methods in Molecular Biology. Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-1566-9_3.

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Flam, S. D. "On Random Catch and Fixed Capacity." In Operations Research and Management in Fishing. Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-011-3280-0_12.

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Schwarzer, Guido, James R. Carpenter, and Gerta Rücker. "Fixed Effect and Random Effects Meta-Analysis." In Use R! Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21416-0_2.

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Portnoy, Stephen. "Is ignorance bliss: Fixed vs. random censoring." In Institute of Mathematical Statistics Collections. Institute of Mathematical Statistics, 2010. http://dx.doi.org/10.1214/10-imscoll721.

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Cooke, Richard. "Fixed Effect vs Random Effects Meta-Analyses." In Meta-Analysis for Psychologists. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-73773-2_11.

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Conference papers on the topic "Random fixed"

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Cosgrove, P., and J. R. Tramm. "The Random Ray Method Applied to Fixed Source Transport Problems." In International Conference on Physics of Reactors (PHYSOR 2024). American Nuclear Society, 2024. http://dx.doi.org/10.13182/physor24-43285.

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Razzaque, Asmad, and Andrea Baiocchi. "SIC-based Random Multiple Access Protocol: Fixed or Adaptive Approach." In 2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall). IEEE, 2024. https://doi.org/10.1109/vtc2024-fall63153.2024.10757508.

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Griffin, David, and Robert I. Davis. "ConvolutionalFixedSum: Uniformly Generating Random Values with a Fixed Sum Subject to Arbitrary Constraints." In 2025 IEEE 31st Real-Time and Embedded Technology and Applications Symposium (RTAS). IEEE, 2025. https://doi.org/10.1109/rtas65571.2025.00034.

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Khalid, Ahmed, Mohamed Mamdouh, Reem Mahmoud, Enas Hassan, and Abdelgwad Elashry. "Empowering Random Forest to predict operation of Dual axial and fixed tilt PV panel." In 2024 12th International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC). IEEE, 2024. https://doi.org/10.1109/jac-ecc64419.2024.11061209.

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Li, Suhong, Lingmin Zhang, Xin Xiao, Lihua Li, Hongwu Yin, and Huijuan Zhao. "Random Approximation with Weak Contraction Random Operator and Random Fixed Point Theorem for Nonexpansive Random Mapping." In Its Applications and Embedded Sys (CDEE). IEEE, 2010. http://dx.doi.org/10.1109/cdee.2010.89.

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Kavitha, Veeraruna, Indrajit Saha, and Sandeep Juneja. "Random Fixed Points, Limits and Systemic Risk." In 2018 IEEE Conference on Decision and Control (CDC). IEEE, 2018. http://dx.doi.org/10.1109/cdc.2018.8619790.

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Zhou, Zhengyuan, and Nicholas Bambos. "Wireless communications games in fixed and random environments." In 2015 54th IEEE Conference on Decision and Control (CDC). IEEE, 2015. http://dx.doi.org/10.1109/cdc.2015.7402445.

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Spidsoe, N., H. P. Brathaug, and O. Skjåstad. "Nonlinear Random Wave Loading on Fixed Offshore Platforms." In Offshore Technology Conference. Offshore Technology Conference, 1986. http://dx.doi.org/10.4043/5101-ms.

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Sharma, Prabhat Kumar, Kamal Agrawal, and Parul Garg. "Multihop FD Relaying with Fixed and Random Phase Errors." In 2018 Twenty Fourth National Conference on Communications (NCC). IEEE, 2018. http://dx.doi.org/10.1109/ncc.2018.8600038.

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Ahumada, Jr., Albert J., and Bettina L. Beard. "Image discrimination models: detection in fixed and random noise." In Electronic Imaging '97, edited by Bernice E. Rogowitz and Thrasyvoulos N. Pappas. SPIE, 1997. http://dx.doi.org/10.1117/12.274520.

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Reports on the topic "Random fixed"

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สุกมลสันต์, สุพัฒน์. การประยุกต์ใช้ทฤษฎีการอ้างอิงสรุปเพื่อให้คะแนนการสอบเรียงความ และการพัฒนาโปรแกรมคอมพิวเตอร์ใช้งาน. จุฬาลงกรณ์มหาวิทยาลัย, 1997. https://doi.org/10.58837/chula.res.1997.54.

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งานวิจัยนี้มีวัตถุประสงค์ที่สำคัญเพื่อประยุกต์แนวความคิดของทฤษฎีการอ้างอิงสรุปมาใช้ในการตรวจให้คะแนนการสอบเรียงความในหลาย ๆเงื่อนไขและเพื่อสร้างโปรแกรมคอมพิวเตอร์สำหรับใช้ในการคำนวณหาค่าสัมประสิทธิ์การอ้างอิงสรุปในเงื่อนไขต่าง ๆ ของการทดสอบ ปัจจัยประกอบ (facets) ของการศึกษาครั้งนี้ได้แก่ ผู้สอบจำนวน 200 คนที่เป็นแบบสุ่ม ข้อทดสอบ 3 ข้อที่เป็นแบบสุ่ม และผู้ตรวจข้อสอบ 2 ประเภทที่เป็นแบบคงที่ คือผู้ที่มีประสบการณ์ตรวจข้อทดสอบที่ใช้ในการวิจัยโดยตรงและผู้ที่มีประสบการณ์ตรวจทางอ้อม จึงทำให้เอกภพของสิ่งสังเกตที่ยอมรับได้ (universe of admissible observations) มีขนาด 200 x 3 x 2 = 1,200 เงื่อนไข และเอกภ
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Weidner, Martin, Hyungsik Roger Moon, and Matthew Shum. Estimation of random coefficients logit demand models with interactive fixed effects. Institute for Fiscal Studies, 2012. http://dx.doi.org/10.1920/wp.cem.2012.0812.

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Shum, Matthew, Hyungsik Roger Moon, and Martin Weidner. Estimation of random coefficients logit demand models with interactive fixed effects. Institute for Fiscal Studies, 2014. http://dx.doi.org/10.1920/wp.cem.2014.2014.

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Moon, Hyungsik Roger, Matthew Shum, and Martin Weidner. Estimation of random coefficients logit demand models with interactive fixed effects. The IFS, 2017. http://dx.doi.org/10.1920/wp.cem.2017.1217.

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Zhang, Zhen. Multilevel SEM with Random Slopes and Moderated Mediation in Mplus. Instats Inc., 2022. http://dx.doi.org/10.61700/5a63kcb9bqqqq469.

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This seminar introduces the Mplus multilevel latent variable modeling framework and describes topics including multilevel variance and effect decomposition, and random and fixed effects (including random slopes), and then proceeds to explore multilevel path analysis, multilevel CFA including multilevel bi-factor models, and multilevel SEM, including approaches for handling strong correlations at the between-group level, indirect effects (multilevel mediation), interaction effects (multilevel moderation), and conditional indirect effects (multilevel moderated mediation). An official Instats cer
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Zhang, Zhen. Longitudinal SEM in Mplus: Latent Growth and Cross-Lagged Models. Instats Inc., 2022. http://dx.doi.org/10.61700/shmr7uf60jtgi469.

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This seminar introduces longitudinal panel data models in Mplus using SEM, including latent growth models (i.e., latent curve or latent trajectory models) and cross-lagged panel models (i.e., panel vector autoregression) with random and fixed effects, including the random intercept cross-lagged panel model (RI-CLPM) to assess time-varying and stable relationships. Short-run and long-run effects will be covered and methods for assessing them provided. An official Instats certificate of completion is provided at the conclusion of the seminar.
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Sweetman, Bert, and Steven R. Winterstein. Second-Order Random Ocean Waves: Prediction of Temporal and Spatial Variation from Fixed and Moving References. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada390585.

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Zhang, Zhen. Multilevel SEM in Mplus. Instats Inc., 2022. http://dx.doi.org/10.61700/p80oftrbgz4z3469.

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This seminar introduces the Mplus multilevel latent variable modeling framework and describes topics including multilevel variance and effect decomposition, and random and fixed effects (including random slopes), and then proceeds to explore multilevel path analysis, multilevel CFA including multilevel bi-factor models, and multilevel SEM, including approaches for handling strong correlations at the between-group level, indirect effects (multilevel mediation), interaction effects (multilevel moderation), and conditional indirect effects (multilevel moderated mediation). An official Instats cer
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Zyphur, Michael. Multilevel Modeling and Multilevel SEM in Mplus. Instats Inc., 2023. http://dx.doi.org/10.61700/k7ptxsg8judu9469.

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This seminar introduces the Mplus multilevel latent variable modeling framework and describes multilevel variance/effect decomposition, random/fixed effects (including random slopes), and then proceeds to explore multilevel path analysis, multilevel CFA including multilevel bi-factor models, and multilevel SEM. Topics include ways to handle strong correlations at the between-group level, indirect effects (multilevel mediation), interaction effects (multilevel moderation), and conditional indirect effects (multilevel moderated mediation). An official Instats certificate of completion and 2 ECTS
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Zyphur, Michael. Longitudinal SEM in Mplus: Latent Growth and Cross-Lagged Panel Models. Instats Inc., 2022. http://dx.doi.org/10.61700/zvz8cn20pod2l469.

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This seminar introduces longitudinal panel data models in Mplus using SEM, including latent growth models (i.e., latent curve or latent trajectory models) and cross-lagged panel models (i.e., panel vector autoregression) with random and fixed effects, including the random intercept cross-lagged panel model (RI-CLPM) to assess time-varying and stable relationships. Short-run and long-run effects will be covered and methods for assessing them provided. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers 2 ECTS
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