Academic literature on the topic 'Continuous estimation'

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Journal articles on the topic "Continuous estimation"

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Ashkenazi, Sarit, Yarden Gliksman, and Avishai Henik. "Understanding Estimations of Magnitudes: An fMRI Investigation." Brain Sciences 12, no. 1 (2022): 104. http://dx.doi.org/10.3390/brainsci12010104.

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The current study examined whether discrete numerical estimation is based on the same cognitive process as estimation of continuous magnitudes such as weight and time. While the verbal estimation of numerical quantities has a contingent unit of measurement (e.g., how many cookies fit in a cookie jar? _X_ cookies), estimation of time and weight does not (e.g., how much time does it take to fill a bath with water? _X_ minutes/hours/seconds). Therefore, estimation of the latter categories has another level of difficulty, requiring extensive involvement of cognitive control. During a functional ma
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Obiri, Sandra A., Bernard T. Agyeman, Sarupa Debnath, Siyu Liu, and Jinfeng Liu. "Sensor Selection and State Estimation of Continuous mAb Production Processes." Mathematics 11, no. 18 (2023): 3860. http://dx.doi.org/10.3390/math11183860.

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The production of monoclonal antibodies (mAbs) plays a pivotal role in therapeutic treatments, and optimizing their production is crucial for minimizing costs and improving their accessibility to patients. One way of improving the production process is to improve model accuracy through the correct estimation of its states and parameters. The contributions of this paper lie in the provision of guidelines for sensor selection in the upstream production process of mAbs to enhance the accuracy of state estimation. Furthermore, this paper applies an effective variable selection technique for simult
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Zinde-Walsh, Victoria. "KERNEL ESTIMATION WHEN DENSITY MAY NOT EXIST." Econometric Theory 24, no. 3 (2008): 696–725. http://dx.doi.org/10.1017/s0266466608080298.

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Nonparametric kernel estimation of density and conditional mean is widely used, but many of the pointwise and global asymptotic results for the estimators are not available unless the density is continuous and appropriately smooth; in kernel estimation for discrete-continuous cases smoothness is required for the continuous variables. Nonsmooth density and mass points in distributions arise in various situations that are examined in empirical studies; some examples and explanations are discussed in the paper. Generally, any distribution function consists of absolutely continuous, discrete, and
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Xu, Ke-Li. "REWEIGHTED FUNCTIONAL ESTIMATION OF DIFFUSION MODELS." Econometric Theory 26, no. 2 (2009): 541–63. http://dx.doi.org/10.1017/s0266466609100087.

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The local linear method is popular in estimating nonparametric continuous-time diffusion models, but it may produce negative results for the diffusion (or volatility) functions and thus lead to insensible inference. We demonstrate this using U.S. interest rate data. We propose a new functional estimation method of the diffusion coefficient based on reweighting the conventional Nadaraya–Watson estimator. It preserves the appealing bias properties of the local linear estimator and is guaranteed to be nonnegative in finite samples. A limit theory is developed under mild requirements (recurrence)
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Qin, Yongming, Makoto Kumon, and Tomonari Furukawa. "Estimation of a Human-Maneuvered Target Incorporating Human Intention." Sensors 21, no. 16 (2021): 5316. http://dx.doi.org/10.3390/s21165316.

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This paper presents a new approach for estimating the motion state of a target that is maneuvered by an unknown human from observations. To improve the estimation accuracy, the proposed approach associates the recurring motion behaviors with human intentions, and models the association as an intention-pattern model. The human intentions relate to labels of continuous states; the motion patterns characterize the change of continuous states. In the preprocessing, an Interacting Multiple Model (IMM) estimation technique is used to infer the intentions and extract motions, which eventually constru
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Chen, Ziyang, Yichen Zhang, Xiangyu Wang, Song Yu, and Hong Guo. "Improving Parameter Estimation of Entropic Uncertainty Relation in Continuous-Variable Quantum Key Distribution." Entropy 21, no. 7 (2019): 652. http://dx.doi.org/10.3390/e21070652.

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The entropic uncertainty relation (EUR) is of significant importance in the security proof of continuous-variable quantum key distribution under coherent attacks. The parameter estimation in the EUR method contains the estimation of the covariance matrix (CM), as well as the max-entropy. The discussions in previous works have not involved the effect of finite-size on estimating the CM, which will further affect the estimation of leakage information. In this work, we address this issue by adapting the parameter estimation technique to the EUR analysis method under composable security frameworks
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Galli, Brian J. "Cost Estimation Methods in Quality Management and Continuous Improvement." International Journal of Service Science, Management, Engineering, and Technology 12, no. 1 (2021): 38–61. http://dx.doi.org/10.4018/ijssmet.2021010103.

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This paper investigated cost estimation methods and continuous improvement in terms of project management planning, as well as the factors that influenced these actions. Estimating the cost was one of the most imperative tasks to be done by the managers for a project. Key factors, such as cost, size, schedule, quality, people resources, maintenance costs, and complexity, were usually estimated in the beginning of project development. The techniques used for cost estimation included data composed from past projects that were combined with mathematical formulae to get the closest estimation. In
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Zatsepa, S. N., A. A. Ivchenko, V. V. Solbakov, and V. V. Stanovoy. "Some engineering estimations of oil spill parameters in the marine environment." Arctic and Antarctic Research 64, no. 2 (2018): 208–11. http://dx.doi.org/10.30758/0555-2648-2018-64-2-208-211.

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Estimation of the oil spill size at continuous spills on the moving sea surface or on the drifting ice field is the actual practical problem. Engineering estimation means the reduction of the hydrodynamic equations system to the balance of only two main forces that cause movement and resistance of the oil flow. From the simplified problem statement some practical relations were obtained for estimating the size of spill, including continuous oil spill with surface water currents presence, for spill onto porous snow-ice cover and onto the drifting ice cover. The obtained estimations can be used
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Overbeck, Ludger. "Estimation for Continuous Branching Processes." Scandinavian Journal of Statistics 25, no. 1 (1998): 111–26. http://dx.doi.org/10.1111/1467-9469.00092.

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Kotchoni, Rachidi. "The indirect continuous-GMM estimation." Computational Statistics & Data Analysis 76 (August 2014): 464–88. http://dx.doi.org/10.1016/j.csda.2013.09.023.

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Dissertations / Theses on the topic "Continuous estimation"

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Gonzalez, Olivares Daniel. "Estimation of cointegrated systems in continuous time." Thesis, University of Essex, 2017. http://repository.essex.ac.uk/21093/.

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In this thesis we derive exact discrete time representation models that correspond to cointegrated systems in continuous time. At the same time, for the parameters of those models, estimation procedures are outlined. The representations are applicable for data observed as both stock or flow variables and with the use of some simulated data, the performance of the estimation procedure is assessed. More importantly, with the aim of analysing the costs, if there are any, of ignoring aggregation in the specification, the results of our estimation procedure are also compared with the ones we would
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Sinisalo, Jukka. "Estimation of greenhouse impacts of continuous regional emissions /." Espoo : Technical Research Centre of Finland, 1998. http://www.vtt.fi/inf/pdf/publications/1998/P338.pdf.

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Rahgozar, Mandana Seyed. "Estimation of evapotranspiration using continuous soil moisture measurement." [Tampa, Fla] : University of South Florida, 2006. http://purl.fcla.edu/usf/dc/et/SFE0001812.

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Mujica, Fernando Alberto. "Spatio-temporal continuous wavelet transform for motion estimation." Diss., Georgia Institute of Technology, 1999. http://hdl.handle.net/1853/15001.

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Zhou, Aimin. "Estimation of distribution algorithms for continuous multiobjective optimization." Thesis, University of Essex, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.499770.

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Gillberg, Jonas. "Methods for frequency domain estimation of continuous-time models /." Linköping : univ, 2004. http://www.control.isy.liu.se.

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Sanyang, Momodou Lamin. "Large scale estimation of distribution algorithms for continuous optimisation." Thesis, University of Birmingham, 2017. http://etheses.bham.ac.uk//id/eprint/7847/.

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Modern real world optimisation problems are increasingly becoming large scale. However, searching in high dimensional search spaces is notoriously difficult. Many methods break down as dimensionality increases and Estimation of Distribution Algorithm (EDA) is especially prone to the curse of dimensionality. In this thesis, we device new EDA variants that are capable of searching in large dimensional continuous domains. We in particular (i) investigated heavy tails search distributions, (ii) we clarify a controversy in the literature about the capabilities of Gaussian versus Cauchy search distr
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Woodson, David. "Precipitation Estimation Methods in Continuous, Distributed Urban Hydrologic Modeling." Thesis, Virginia Tech, 2019. http://hdl.handle.net/10919/90373.

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Quantitative precipitation estimation (QPE) remains a key area of uncertainty in hydrological modeling, particularly in small, urban watersheds which respond rapidly to precipitation and can experience significant spatial variability in rainfall fields. Few studies have compared QPE methods in small, urban watersheds, and studies which have examined this topic only compared model results on an event basis using a small number of storms. This study sought to compare the efficacy of multiple QPE methods when simulating discharge in a small, urban watershed on a continuous basis using an operatio
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VARINI, ELISA. "Sequential estimation methods in continuous time state place models." Doctoral thesis, Università Bocconi, 2006. http://hdl.handle.net/11565/4050376.

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Invernizzi, C. "QUANTUM ESTIMATION DISCRIMINATION IN CONTINUOUS VARIABLE AND FERMIONIC SYSTEMS." Doctoral thesis, Università degli Studi di Milano, 2011. http://hdl.handle.net/2434/158085.

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In this PhD thesis we address the problem of characterizing quantum states and parameters of systems that are of particular interest for quantum technologies. In the first part we consider continuous variable systems and in particular Gaussian states; we address the estimation of quantities characterizing single-mode Gaussian states as the displacement and squeezing parameter and we study the improvement in the parameter estimation by introducing a Kerr nonlinearity. Moreover, we address the discrimination of noisy channels by means of Gaussian states as probe states considering two problems:
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Books on the topic "Continuous estimation"

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Melino, Angelo. Estimation of continuous-time models in finance. Dept. of Economics and Institute for Policy Analysis, University of Toronto, 1991.

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Perraudin, William R. M. Continuous time international arbitrage pricing: Theory and estimation. University of Cambridge Department of Applied Economics, 1994.

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Sinisalo, Jukka. Estimation of greenhouse impacts of continuous regional emissions. VTT, Technical Research Centre of Finland, 1998.

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Chambers, Marcus J. Estimation of a continuous time dynamic demand system. University ofEssex, Dept. of Economics, 1989.

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Kulikov, Gennady Yu, and Maria V. Kulikova. State Estimation for Nonlinear Continuous–Discrete Stochastic Systems. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-61371-5.

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Chambers, Marcus J. The estimation of continuous parameter long-memory time series models. Essex University, Department of Economics, 1992.

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Hu, Chih-Chi. Sequential Quantile Estimation Using Continuous Outcomes with Applications in Dose Finding. [publisher not identified], 2014.

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K, Kar S., ed. Continuous time dynamical systems: State estimation and optimal control with orthogonal functions. CRC Press, 2013.

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Bederman, S. Samuel. Estimation methods in random coefficient regression for continuous and binary longitudinal data. National Library of Canada = Bibliothèque nationale du Canada, 1999.

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Bergstrom, A. R. Gaussian estimation of a continuous time model of demand for consumer durable goods. University of Essex, Dept. of Economics, 1988.

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Book chapters on the topic "Continuous estimation"

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Subrahmanyam, Allamaraju, and Ganti Prasada Rao. "Robust Parameter Estimation." In Identification of Continuous-Time Systems. CRC Press, 2019. http://dx.doi.org/10.1201/9780429352850-4.

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Hainaut, Donatien. "Particle Filtering and Estimation." In Continuous Time Processes for Finance. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-06361-9_3.

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Wymer, Clifford R. "Continuous-time models in macroeconomics: specification and estimation." In Continuous-Time Econometrics. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1542-1_3.

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Hainaut, Donatien. "Switching Models: Properties and Estimation." In Continuous Time Processes for Finance. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-06361-9_1.

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Poor, H. Vincent. "Signal Estimation in Continuous Time." In Springer Texts in Electrical Engineering. Springer New York, 1994. http://dx.doi.org/10.1007/978-1-4757-2341-0_7.

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Poor, H. Vincent. "Signal Estimation in Continuous Time." In Springer Texts in Electrical Engineering. Springer New York, 1988. http://dx.doi.org/10.1007/978-1-4757-3863-6_7.

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Bengoetxea, E., T. Miquélez, P. Larrañaga, and J. A. Lozano. "Experimental Results in Function Optimization with EDAs in Continuous Domain." In Estimation of Distribution Algorithms. Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-1539-5_8.

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Talbot-Pedersen, A., M. R. Neuman, G. M. Saidel, and E. Jacobsen. "Estimation of the Determinants of Transcutaneous Oxygen Tension Using a Dynamic Computer Model." In Continuous Transcutaneous Monitoring. Springer US, 1987. http://dx.doi.org/10.1007/978-1-4613-1927-6_49.

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Hand, David, and Martin Crowder. "Continuous non-normal measures: Gaussian estimation." In Practical Longitudinal Data Analysis. Springer US, 1996. http://dx.doi.org/10.1007/978-1-4899-3033-0_7.

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Shahraki, Shahram, and Mohammad Reza Akbarzadeh Tutunchy. "Continuous Gaussian Estimation of Distribution Algorithm." In Synergies of Soft Computing and Statistics for Intelligent Data Analysis. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-33042-1_23.

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Conference papers on the topic "Continuous estimation"

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Liu, Hanlin, Lei Zhang, Zhengrong Chen, Shui Liu, Baiqiang Liang, and Yuehui Deng. "Continuous DOA estimation via tensorized LSTM." In Sixteenth International Conference on Signal Processing Systems (ICSPS 2024), edited by Robert Minasian and Li Chai. SPIE, 2025. https://doi.org/10.1117/12.3061641.

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Zhou, Rui, Naiming Qi, Shuanli Jia, et al. "Kalman-based continuous pose estimation network for spacecraft." In First Aerospace Frontiers Conference (AFC 2024), edited by Han Zhang. SPIE, 2024. http://dx.doi.org/10.1117/12.3032451.

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Bang, Sunwoo, Chaeyeong Lee, Junhyeong Ryu, Hyung Tae Lee, and Jeongyeup Paek. "Trend Shift in Pose Estimation: Toward Continuous Representation." In 2024 15th International Conference on Information and Communication Technology Convergence (ICTC). IEEE, 2024. https://doi.org/10.1109/ictc62082.2024.10827211.

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Ohno, Tetsushi, Hidehiko Sekiya, Ikumasa Yoshida, Ryotaro Wada, Atsushi Yasuda, and Keiko Tateno. "Fundamental Study on Continuous Estimation of Vertical Displacement during PC Bridge Construction." In IABSE Symposium, Tokyo 2025: Environmentally Friendly Technologies and Structures: Focusing on Sustainable Approaches. International Association for Bridge and Structural Engineering (IABSE), 2025. https://doi.org/10.2749/tokyo.2025.2102.

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<p>This study focuses on continuous vertical displacement estimation in PC bridges constructed using the balanced cantilever method. Traditional leveling surveys are labor-intensive and limited to specific moments, hindering efficiency. Using strain and rotation angle data from sensors installed on the bridge, continuous vertical displacement estimation is proposed. The estimation accuracy was validated by comparing results with leveling surveys. Results closely matched leveling survey data, demonstrating the method's accuracy. Sensors were placed on the bridge's lower deck to minimize t
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Reimann, Hans, Sarat Moka, and Georgy Sofronov. "Continuous Optimization for Offline Change Point Detection and Estimation." In 2024 Winter Simulation Conference (WSC). IEEE, 2024. https://doi.org/10.1109/wsc63780.2024.10838722.

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Matoušek, J., J. Duník, and M. Brandner. "Efficient Spectral Differentiation in Grid-Based Continuous State Estimation." In 2024 27th International Conference on Information Fusion (FUSION). IEEE, 2024. http://dx.doi.org/10.23919/fusion59988.2024.10706533.

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Nascimento, Vitor H., and Ali H. Sayed. "Continuous-time distributed estimation." In 2011 45th Asilomar Conference on Signals, Systems and Computers. IEEE, 2011. http://dx.doi.org/10.1109/acssc.2011.6190323.

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Felemban, Haitham B., Jiaxing Che, Chengyu Cao, Naira Hovakimyan, and Irene M. Gregory. "Estimation of Airspeed Using Continuous Polynomial Adaptive Estimator." In AIAA Guidance, Navigation, and Control Conference. American Institute of Aeronautics and Astronautics, 2014. http://dx.doi.org/10.2514/6.2014-0267.

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Currie, Stephanie Marie, Dilhan Ilk, and Tom Blasingame. "Continuous Estimation of Ultimate Recovery." In SPE Unconventional Gas Conference. Society of Petroleum Engineers, 2010. http://dx.doi.org/10.2118/132352-ms.

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Currie, Stephanie, Dilhan Ilk, and Tom Blasingame. "Continuous Estimation of Ultimate Recovery." In SPE Unconventional Gas Conference. Society of Petroleum Engineers, 2010. http://dx.doi.org/10.2523/132352-ms.

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Reports on the topic "Continuous estimation"

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Arcidiacono, Peter, Attila Gyetvai, Arnaud Maurel, and Ekaterina Jardim. Identification and Estimation of Continuous-Time Job Search Models with Preference Shocks. National Bureau of Economic Research, 2022. http://dx.doi.org/10.3386/w30655.

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Dormann, Christian. Introduction to Continuous Time Structural Equation Modeling (CTSEM). Instats Inc., 2023. http://dx.doi.org/10.61700/kwigtxevhohxk469.

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This seminar introduces the use of Continuous Time Structural Equation Modeling (CTSEM) to study phenomena over time in the social and health sciences. Day 1 topics include the required conceptual background, mathematical foundations, as well as examples to illustrate the concepts. On Day 2, the R package [b]ctsem [/b]is introduced, with hands-on coverage of topics including data preparation, model setup, parameter estimation, and interpretation of results. Day 3 topics include random intercept modelling (aka., within-person analysis), moderator analysis, and an outlook to Continuous Time Meta
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Casinovi, Giorgio. Development of Cad Tools for Power Estimation in Continuous-Time and Switched-Capacitor Analog Circuits. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada373430.

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Casinovi, Giorgio. Development of CAD Tools for Power Estimation in Continuous-Time and Switched-Capacitor Analog Circuits. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada375770.

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Arcidiacono, Peter, Patrick Bayer, Jason Blevins, and Paul Ellickson. Estimation of Dynamic Discrete Choice Models in Continuous Time with an Application to Retail Competition. National Bureau of Economic Research, 2012. http://dx.doi.org/10.3386/w18449.

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Dormann, Christian. Introduction to Continuous Time Structural Equation Modeling (CTSEM) + 1 Free Seminar. Instats Inc., 2022. http://dx.doi.org/10.61700/am2g78fjl1gx5469.

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This seminar introduces the use of Continuous Time Structural Equation Modeling (CTSEM) to study phenomena over time in the social and health sciences. Day 1 topics include the required conceptual background, mathematical foundations, as well as examples to illustrate the concepts. On Day 2, the R package [b]ctsem [/b]is introduced, with hands-on coverage of topics including data preparation, model setup, parameter estimation, and interpretation of results. Day 3 topics include random intercept modelling (aka., within-person analysis), moderator analysis, and an outlook to Continuous Time Meta
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Nasr, Elhami, Tariq Shehab, Nigel Blampied, and Vinit Kanani. Estimating Models for Engineering Costs on the State Highway Operation and Protection Program (SHOPP) Portfolio of Projects. Mineta Transportation Institute, 2024. http://dx.doi.org/10.31979/mti.2024.2365.

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The State Highway Operation and Protection Program (SHOPP) is crucial for maintaining California’s 15,000-mile state highway system, which includes projects like pavement rehabilitation, bridge repair, safety enhancements, and traffic management systems. Administered by Caltrans, SHOPP aims to preserve highway efficiency and safety, supporting economic growth and public safety. This research aimed to develop robust cost-estimating models to improve budgeting and financial planning, aiding Caltrans, the California Transportation Commission (CTC), and the Legislature. The research team collected
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Layne, Jeffery, and Scott Weaver. A Continuum of Models for Stochastic Estimation. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada387984.

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Ziesler, Pamela, and James Horn. Statistical abstract: 2024. National Park Service, 2025. https://doi.org/10.36967/2310175.

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In the pages that follow, a series of tables and figures display visitor use statistics for calendar year 2024. By documenting visits, hours, and overnight stays across the National Park System, the National Park Service (NPS) Statistical Abstract offers a historical record of visitor use in parks and provides NPS staff and partners with a useful tool for effective management and planning. In 2024, 404 of 433 National Park System units collected and reported visitor use statistics; the remainder are unable to do so for a variety of reasons such as administration by another agency, non-federal
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Ziesler, Pamela, and Claire Spalding. Statistical abstract: 2023. National Park Service, 2024. http://dx.doi.org/10.36967/2304344.

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In the pages that follow, a series of tables and figures display visitor use statistics for calendar year 2023. By documenting visits, hours, and overnight stays across the National Park System, the National Park Service (NPS) Statistical Abstract offers a historical record of visitor use in parks and provides NPS staff and partners with a useful tool for effective management and planning. In 2023, 400 of the 428 National Park System units collected and reported visitor use statistics; the remainder are unable to do so for a variety of reasons such as administration by another agency, non-fede
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