Relevant bibliographies by topics / Parameter estimates

Contents

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

Academic literature on the topic 'Parameter estimates'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Parameter estimates"

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Mead, J. L. "Discontinuous parameter estimates with least squares estimators." Applied Mathematics and Computation 219, no. 10 (2013): 5210–23. http://dx.doi.org/10.1016/j.amc.2012.11.067.

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Robitzsch, Alexander. "Linking Error Estimation in Fixed Item Parameter Calibration: Theory and Application in Large-Scale Assessment Studies." Foundations 5, no. 1 (2025): 4. https://doi.org/10.3390/foundations5010004.

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In fixed item parameter calibration (FIPC), an item response theory (IRT) model is estimated with item parameters fixed at reference values to estimate the distribution parameters within a specific group. The presence of random differential item functioning (DIF) within this group introduces additional variability in the distribution parameter estimates, which is captured by the linking error (LE). Conventional LE estimates, based on item jackknife methods, are subject to positive bias due to sampling errors. To address this, this article introduces a bias-corrected LE estimate. Moreover, the
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Pilling, Graham M., Geoffrey P. Kirkwood, and Stephen G. Walker. "An improved method for estimating individual growth variability in fish, and the correlation between von Bertalanffy growth parameters." Canadian Journal of Fisheries and Aquatic Sciences 59, no. 3 (2002): 424–32. http://dx.doi.org/10.1139/f02-022.

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A new method for estimating individual variability in the von Bertalanffy growth parameters of fish species is presented. The method uses a nonlinear random effects model, which explicitly assumes that an individual's growth parameters represent samples from a multivariate population of growth parameters characteristic of a species or population. The method was applied to backcalculated length-at-age data from the tropical emperor, Lethrinus mahsena. Individual growth parameter variability estimates were compared with those derived using the current "standard" method, which characterizes the j
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Coventry, William L., and Matthew C. Keller. "Estimating the Extent of Parameter Bias in the Classical Twin Design: A Comparison of Parameter Estimates From Extended Twin-Family and Classical Twin Designs." Twin Research and Human Genetics 8, no. 3 (2005): 214–23. http://dx.doi.org/10.1375/twin.8.3.214.

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AbstractThe classical twin design (CTD) circumvents parameter indeterminacy by assuming (1) negligible higher-order epistasis; and (2) either nonadditive genetic or common environmental effects are nonexistent, creating two potential sources of bias (Eaves et al., 1978; Grayson, 1989). Because the extended twin-family design (ETFD) uses many more unique covariance observations to estimate parameters, common environmental and nonadditive genetic parameters can be simultaneously estimated. The ETFD thereby corrects for what is likely to be the largest of the two sources of bias in CTD parameter
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Yi, Kyongsu, and Karl Hedrick. "Observer-Based Identification of Nonlinear System Parameters." Journal of Dynamic Systems, Measurement, and Control 117, no. 2 (1995): 175–82. http://dx.doi.org/10.1115/1.2835177.

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This paper deals with an observer-based nonlinear system parameter identification method utilizing repetitive excitation. Although methods for physical parameter identification of both linear and nonlinear systems are already available, they are not attractive from a practical point of view since the methods assume that all the system, x, and the system input are available. The proposed method is based on a “sliding observer” and a least-square method. A sufficient condition for the convergence of the parameter estimates is provided in the case of “Lipschitz” nonlinear second-order systems. Th
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Rajanayaka, Channa, and Don Kulasiri. "Investigation of a parameter estimation method for contaminant transport in aquifers." Journal of Hydroinformatics 3, no. 4 (2001): 203–13. http://dx.doi.org/10.2166/hydro.2001.0019.

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Real world groundwater aquifers are heterogeneous and system variables are not uniformly distributed across the aquifer. Therefore, in the modelling of the contaminant transport, we need to consider the uncertainty associated with the system. Unny presented a method to describe the system by stochastic differential equations and then to estimate the parameters by using the maximum likelihood approach. In this paper, this method was explored by using artificial and experimental data. First a set of data was used to explore the effect of system noise on estimated parameters. The experimental dat
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Luo, Yong, and Dimiter M. Dimitrov. "A Short Note on Obtaining Point Estimates of the IRT Ability Parameter With MCMC Estimation in Mplus: How Many Plausible Values Are Needed?" Educational and Psychological Measurement 79, no. 2 (2018): 272–87. http://dx.doi.org/10.1177/0013164418777569.

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Plausible values can be used to either estimate population-level statistics or compute point estimates of latent variables. While it is well known that five plausible values are usually sufficient for accurate estimation of population-level statistics in large-scale surveys, the minimum number of plausible values needed to obtain accurate latent variable point estimates is unclear. This is especially relevant when an item response theory (IRT) model is estimated with MCMC (Markov chain Monte Carlo) methods in Mplus and point estimates of the IRT ability parameter are of interest, as Mplus only
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Fieberg, J., and D. F. Staples. "The role of variability and uncertainty in testing hypotheses involving parameters in stochastic demographic models." Canadian Journal of Zoology 84, no. 11 (2006): 1698–701. http://dx.doi.org/10.1139/z06-153.

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Hierarchical / random effect models provide a statistical framework for estimating variance parameters that describe temporal and spatial variability of vital rates in population dynamic models. In practice, estimates of variance parameters (e.g., process error) from these models are often confused with estimates of uncertainty about model parameter estimates (e.g., standard errors). These two sources of “error” have different implications for predictions from stochastic models. Estimates of process error (or variability) are useful for describing the magnitude of variation in vital rates over
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Koots, Kenneth R., and John P. Gibson. "Realized Sampling Variances of Estimates of Genetic Parameters and the Difference Between Genetic and Phenotypic Correlations." Genetics 143, no. 3 (1996): 1409–16. http://dx.doi.org/10.1093/genetics/143.3.1409.

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Abstract A data set of 1572 heritability estimates and 1015 pairs of genetic and phenotypic correlation estimates, constructed from a survey of published beef cattle genetic parameter estimates, provided a rare opportunity to study realized sampling variances of genetic parameter estimates. The distribution of both heritability estimates and genetic correlation estimates, when plotted against estimated accuracy, was consistent with random error variance being some three times the sampling variance predicted from standard formulae. This result was consistent with the observation that the varian
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Jiang, Renyan. "A Quasi-Normal Distribution and its Application in Parameter Estimation on Heavily Censored Data." International Journal of Reliability, Quality and Safety Engineering 28, no. 05 (2021): 2150027. http://dx.doi.org/10.1142/s0218539321500273.

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Parameter estimation on heavily censored data is a challenging issue. This paper addresses this issue using a two-step single-parameter maximum likelihood method to estimate mean time to failure (MTTF) and Weibull shape parameter (WSP). The first step fits the data to three one-parameter auxiliary models, which are special cases of a two-parameter quasi-normal distribution with nonnegative support, to obtain three estimates of the MTTF. The second step estimates the WSP through fixing each of the MTTF estimates. The best estimates are selected from three pairs of estimates based on appropriate
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Dissertations / Theses on the topic "Parameter estimates"

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Munster, Drayton William. "Robust Parameter Inversion Using Stochastic Estimates." Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/96399.

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For parameter inversion problems governed by systems of partial differential equations, such as those arising in Diffuse Optical Tomography (DOT), even the cost of repeated objective function evaluation can be overwhelming. Despite the linear (in the state variable) nature of the DOT problem, the nonlinear parameter inversion process is dominated by the computational burden of solving a large linear system for each source and frequency. To compute the Jacobian for use in Newton-type methods, an adjoint solve is required for each detector and frequency. When a three-dimensional tomography probl
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Tao, Zuoyu. "Improved uncertainty estimates for geophysical parameter retrieval." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/61516.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (p. 167-169).<br>Algorithms for retrieval of geophysical parameters from radiances measured by instruments onboard satellites play a large role in helping scientists monitor the state of the planet. Current retrieval algorithms based o
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Hu, Huilin. "Large sample theory for pseudo-maximum likelihood estimates in semiparametric models /." Thesis, Connect to this title online; UW restricted, 1998. http://hdl.handle.net/1773/8936.

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Courdin, Marie Claire. "Laboratory reactor design and the precision of parameter estimates." Thesis, University of Ottawa (Canada), 1992. http://hdl.handle.net/10393/7951.

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This study is concerned with investigating the dependence of the precision of estimated kinetic parameters on the type of reactor used for performing the kinetic measurements. Two ideal reactors, the plug-flow reactor (PFR) and the continuous-stirred-tank reactor (CSTR), were simulated using a Monte-Carlo computer simulation. Parameters were estimated using nonlinear multiresponse estimation techniques, and the distributional characteristics of the parameter estimates were calculated. Comparison between the reactors involved the study of overall measures of precision such as the size, shape an
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Wall, Nathan Lane. "Augmented testing and effects on item and proficiency estimates in different calibration designs." Diss., University of Iowa, 2011. https://ir.uiowa.edu/etd/1100.

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Broadening the term augmented testing to include a combination of multiple measures to assess examinee performance on a single construct, the issues of IRT item parameter and proficiency estimates were investigated. The intent of this dissertation is to determine if different IRT calibration designs result in differences to item and proficiency parameter estimates and to understand the nature of those differences. Examinees were sampled from a testing program in which each examinee was administered three mathematics assessments measuring a broad mathematics domain at the high school level. Thi
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Fernandes, Tamara. "Genetic parameter estimates for ultrasound-measured carcass traits in sheep." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape2/PQDD_0024/MQ51063.pdf.

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Piwonski, Jaroslaw [Verfasser]. "Parameter estimates for marine ecosystem models in 3-D / Jaroslaw Piwonski." Kiel : Universitätsbibliothek Kiel, 2015. http://d-nb.info/107021874X/34.

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Parekh, Namita. "Validity and efficiency of parameter estimates in frequency matched case-control studies." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/mq45405.pdf.

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Devitt, Crosby Jordan Blake. "Genetic parameter estimates for finished steer carcass and yearling bull ultrasound measurements." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape2/PQDD_0026/MQ51058.pdf.

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Man, Peter Lau Weilen. "Statistical methods for computing sensitivities and parameter estimates of population balance models." Thesis, University of Cambridge, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.608291.

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Books on the topic "Parameter estimates"

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Chu, Chia-Shang J. The moving-estimates test for parameter stability. College of Commerce and Business Administration, University of Illinois at Urbana-Champaign, 1993.

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L, McDonald, ed. Estimation and analysis of insect populations: Proceedings of a conference held in Laramie, Wyoming, January 25-29, 1988. Springer-Verlag, 1989.

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McAvinchey, Ian D. Income effects on mortality rates: Estimates from a varying parameter model. University of Aberdeen. Department of Economics, 1987.

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Vladislav, Klein, and Langley Research Center, eds. Determining the accuracy of maximum likelihood parameter estimates with colored residuals. National Aeronautics and Space Administration, Langley Research Center, 1994.

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Morelli, Eugene A. Determining the accuracy of maximum likelihood parameter estimates with colored residuals. National Aeronautics and Space Administration, Langley Research Center, 1994.

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Glas, Cees A. W. Alternative approaches to updating item parameter estimates in tests with item cloning. Law School Admission Council, 2006.

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Chu, Chia-Shang J. A moving-estimates test for parameter stability and its boundary-crossing probability. University of Illinois at Urbana-Champaign, 1992.

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Parekh, Namita. Validity and efficiency of parameter estimates in frequency matched case-control studies. National Library of Canada, 1999.

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United States. National Aeronautics and Space Administration., ed. Lower bound on reliability for Weibull distribution when shape parameter is not estimated accurately. National Aeronautics and Space Administration, 1990.

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Ackerman, Terry A. The use of unidimensional item parameter estimates of multidimensional items in adaptive testing. American College Testing Program, 1988.

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Book chapters on the topic "Parameter estimates"

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Ritgen, Ulf. "Parameter Estimates." In Analytical Chemistry II. Springer Berlin Heidelberg, 2025. https://doi.org/10.1007/978-3-662-68710-9_21.

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Akinbogun, Solomon Pelumi, Clinton Aigbavboa, Trynos Gumbo, and Wellington Thwala. "Discussion of Parameter Estimates." In Modelling the Socio-Economic Implications of Sustainability Issues in the Housing Market. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-48954-0_8.

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Masters, Timothy. "Resampling for Assessing Parameter Estimates." In Assessing and Improving Prediction and Classification. Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-3336-8_3.

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Kalmijn, Wim. "Happiness Population Distribution Parameter Estimates." In Encyclopedia of Quality of Life and Well-Being Research. Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-0753-5_3657.

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Kalmijn, Wim. "Happiness Population Distribution Parameter Estimates." In Encyclopedia of Quality of Life and Well-Being Research. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-17299-1_3657.

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Komornik, Vilmos. "Decay Estimates for the Wave Equation." In Control and Optimal Design of Distributed Parameter Systems. Springer New York, 1995. http://dx.doi.org/10.1007/978-1-4613-8460-1_7.

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Dorren, H. J. S., and R. K. Snieder. "Stability Estimates for Inverse Problems." In Parameter Identification and Inverse Problems in Hydrology, Geology and Ecology. Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-009-1704-0_13.

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Speyer, Gavriel, and Michael Werman. "Parameter Estimates for a Pencil of Lines: Bounds and Estimators." In Computer Vision — ECCV 2002. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-47969-4_29.

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Becker, Roland, and Boris Vexler. "A Posteriori Error Estimates for Parameter Identification." In Numerical Mathematics and Advanced Applications. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-642-18775-9_10.

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Xiang, Yanyong, Neil R. Thomson, and Jonathan F. Sykes. "L1 and L2 Estimators in Groundwater Problems: Parameter Estimates and Covariances." In Stochastic and Statistical Methods in Hydrology and Environmental Engineering. Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-1072-3_13.

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Conference papers on the topic "Parameter estimates"

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Sørensen, Kristian Aa, Constantin Günzel, Hasse Pedersen, Peder Heiselberg, and Henning Heiselberg. "3D Ship Parameter Estimates in SAR Imagery." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10640640.

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Avilés, Esteban, Roberto Lavarello, and Andres Coila. "Nonlinearity parameter imaging of local estimates using spatial compounding." In 2024 IEEE Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium (UFFC-JS). IEEE, 2024. https://doi.org/10.1109/uffc-js60046.2024.10793740.

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Wellander, Niklas, Olof Lundén, and Mats Bäckström. "Parameter Estimates for the Stirrer Efficiency in Reverberation Chambers." In 16th International Zurich Symposium and Technical Exposition on Electromagnetic Compatibility. IEEE, 2005. https://doi.org/10.23919/emc.2005.10806096.

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Haitz, Magnus, Martin Richter, and Ingmar Kallfass. "Robustness across Initial Estimates of Optimization Algorithms for Power Semiconductor Model Parameter Extraction." In 2024 IEEE 11th Workshop on Wide Bandgap Power Devices & Applications (WiPDA). IEEE, 2024. https://doi.org/10.1109/wipda62103.2024.10773067.

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Spall, J. C. "Seesaw method for combining parameter estimates." In 2006 American Control Conference. IEEE, 2006. http://dx.doi.org/10.1109/acc.2006.1657540.

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Spall, J. C. "Seesaw method for combining parameter estimates." In 2005 7th International Conference on Information Fusion. IEEE, 2005. http://dx.doi.org/10.1109/icif.2005.1591947.

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Leland, R. "Approximate maximum likelihood parameter estimates for stochastic distributed parameter systems." In Proceedings of 16th American CONTROL Conference. IEEE, 1997. http://dx.doi.org/10.1109/acc.1997.609518.

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Pike, H. Alan, Larry B. Stotts, Paul Kolodzy, and Malcolm Northcott. "Parameter Estimates For Free Space Optical Communications." In Applications of Lasers for Sensing and Free Space Communications. OSA, 2011. http://dx.doi.org/10.1364/lsc.2011.lwb3.

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Bautista, E., T. S. Strelkoff, A. J. Clemmens, and D. Zerihun. "Surface Volume Estimates for Infiltration Parameter Estimation." In World Environmental and Water Resources Congress 2008. American Society of Civil Engineers, 2008. http://dx.doi.org/10.1061/40976(316)84.

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Kamasak, Mustafa E. "Analysis of kinetic parameter estimates for dynamic PET." In 2011 IEEE 19th Signal Processing and Communications Applications Conference (SIU). IEEE, 2011. http://dx.doi.org/10.1109/siu.2011.5929829.

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Reports on the topic "Parameter estimates"

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Andrews, Isaiah, Matthew Gentzkow, and Jesse Shapiro. Measuring the Sensitivity of Parameter Estimates to Estimation Moments. National Bureau of Economic Research, 2014. http://dx.doi.org/10.3386/w20673.

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Powell, Frederic D. Effects of Parameter Uncertainties on Software Development Effort Estimates. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada223304.

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Santini, D., and A. Vyas. Theoretical basis and parameter estimates for the Minority Transportation Expenditure Allocation Model (MITRAM). Office of Scientific and Technical Information (OSTI), 1988. http://dx.doi.org/10.2172/6052439.

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Schwab, Clint R., and Thomas J. Baas. Genetic Parameter Estimates of Production, Meat Quality, and Sensory Traits in Duroc Swine. Iowa State University, 2008. http://dx.doi.org/10.31274/ans_air-180814-64.

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Villoria, Nelson B., and Jing Liu. Using continental grids to improve our understanding of global land supply responses: Implications for policy-driven land use changes in the Americas. GTAP Working Paper, 2015. http://dx.doi.org/10.21642/gtap.wp81.

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Global economic models with explicit treatment of global land markets are crucial to understanding the consequences of different policy choices on global food and environmental security. However, these models rely on parameters for which there is little econometric evidence. A fundamental parameter in these models is the land supply elasticity. We provide a novel set of land supply elasticities estimated using gridded data for the American continent, and we use them in exploring previous work on the indirect land-use effects of US ethanol policy. Our estimates provide a basis for better-inform
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Martin, R. D., and Victor J. Yohai. Fisher Consistency of AM-Estimates of the Autoregression Parameter Using Hard Rejection Filter Cleaners. Defense Technical Information Center, 1987. http://dx.doi.org/10.21236/ada200632.

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Martin, R. D., and Victor J. Yohai. Fisher Consistency of AM-Estimates of the Autoregression Parameter Using Hard Rejection Filter Cleaners. Defense Technical Information Center, 1987. http://dx.doi.org/10.21236/ada198962.

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Hassen, Abebe T., Doyle E. Wilson, Gene H. Rouse, and Richard G. Tait. Trends in Genetic Parameter Estimates for Ultrasound Back Fat and Rump Fat Thickness Measures in Angus Bulls and Heifers. Iowa State University, 2004. http://dx.doi.org/10.31274/ans_air-180814-453.

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Kott, Phillip S. The Role of Weights in Regression Modeling and Imputation. RTI Press, 2022. http://dx.doi.org/10.3768/rtipress.2022.mr.0047.2203.

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When fitting observations from a complex survey, the standard regression model assumes that the expected value of the difference between the dependent variable and its model-based prediction is zero, regardless of the values of the explanatory variables. A rarely failing extended regression model assumes only that the model error is uncorrelated with the model’s explanatory variables. When the standard model holds, it is possible to create alternative analysis weights that retain the consistency of the model-parameter estimates while increasing their efficiency by scaling the inverse-probabili
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Hertel, Thomas, David Hummels, Maros Ivanic, and Roman Keeney. How Confident Can We Be in CGE-Based Assessments of Free Trade Agreements? GTAP Working Paper, 2003. http://dx.doi.org/10.21642/gtap.wp26.

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With the proliferation of Free Trade Agreements (FTAs) over the past decade, demand for quantitative analysis of their likely impacts has surged. The main quantitative tool for performing such analysis is Computable General Equilibrium (CGE) modeling. Yet these models have been widely criticized for performing poorly (Kehoe, 2002) and having weak econometric foundations (McKitrick, 1998; Jorgenson, 1984). FTA results have been shown to be particularly sensitive to the trade elasticities, with small trade elasticities generating large terms of trade effects and relatively modest efficiency gain
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