Relevant bibliographies by topics / Mean square errors

Contents

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

Academic literature on the topic 'Mean square errors'

Author: Grafiati
Published: 4 June 2021
Last updated: 21 February 2023

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Mean square errors.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Mean square errors"

1

Hodson, Timothy O. "Root-mean-square error (RMSE) or mean absolute error (MAE): when to use them or not." Geoscientific Model Development 15, no. 14 (2022): 5481–87. http://dx.doi.org/10.5194/gmd-15-5481-2022.

Full text
Abstract:
Abstract. The root-mean-squared error (RMSE) and mean absolute error (MAE) are widely used metrics for evaluating models. Yet, there remains enduring confusion over their use, such that a standard practice is to present both, leaving it to the reader to decide which is more relevant. In a recent reprise to the 200-year debate over their use, Willmott and Matsuura (2005) and Chai and Draxler (2014) give arguments for favoring one metric or the other. However, this comparison can present a false dichotomy. Neither metric is inherently better: RMSE is optimal for normal (Gaussian) errors, and MAE
APA, Harvard, Vancouver, ISO, and other styles
2

Robeson, Scott M., and Cort J. Willmott. "Decomposition of the mean absolute error (MAE) into systematic and unsystematic components." PLOS ONE 18, no. 2 (2023): e0279774. http://dx.doi.org/10.1371/journal.pone.0279774.

Full text
Abstract:
When evaluating the performance of quantitative models, dimensioned errors often are characterized by sums-of-squares measures such as the mean squared error (MSE) or its square root, the root mean squared error (RMSE). In terms of quantifying average error, however, absolute-value-based measures such as the mean absolute error (MAE) are more interpretable than MSE or RMSE. Part of that historical preference for sums-of-squares measures is that they are mathematically amenable to decomposition and one can then form ratios, such as those based on separating MSE into its systematic and unsystema
APA, Harvard, Vancouver, ISO, and other styles
3

Kishimoto, K., K. Onaga, and E. Nakamae. "Theoretical assessment of mean square errors of antialiasing filters." Computer Vision, Graphics, and Image Processing 35, no. 2 (1986): 277. http://dx.doi.org/10.1016/0734-189x(86)90043-5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Kishimoto, K., K. Onaga, and E. Nakamae. "Theoretical assessments of mean square errors of antialiasing filters." Computer Vision, Graphics, and Image Processing 37, no. 3 (1987): 428–37. http://dx.doi.org/10.1016/0734-189x(87)90047-8.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Clements, Michael P., and David F. Hendry. "On the limitations of comparing mean square forecast errors." Journal of Forecasting 12, no. 8 (1993): 617–37. http://dx.doi.org/10.1002/for.3980120802.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Ogasawara, Haruhiko. "Optimal Information Criteria Minimizing Their Asymptotic Mean Square Errors." Sankhya B 78, no. 1 (2016): 152–82. http://dx.doi.org/10.1007/s13571-016-0115-9.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Jadhav, Smita, and Dipika Jaspal. "Adsorptive eradication of tartrazine from aqueous solutions onto doped polyaniline." Journal of the Serbian Chemical Society 85, no. 2 (2020): 251–63. http://dx.doi.org/10.2298/jsc190705116j.

Full text
Abstract:
A potential polymeric adsorbent, doped polyaniline (PANI) has been investigated for the eradication of the hazardous dye tartrazine from textile effluent. During the adsorption process, the influence of the acidic character of the adsorbate, pH, dose of the adsorbent, dye concentration and time of contact between the adsorbent and adsorbate were evaluated. The outcomes attained from batch experiments were applied to the Langmuir and the Freundlich isothermal models. Different error analysis techniques, such as mean square error, root mean square error, the Chi-square test (?2), sum of absolute
APA, Harvard, Vancouver, ISO, and other styles
8

Nakonechnyi, Alexander, Grigoriy Kudin, Taras Zinko, and Petr Zinko. "MINIMAX ROOT–MEAN–SQUARE ESTIMATES OF MATRIX PARAMETERS IN LINEAR REGRESSION PROBLEMS UNDER UNCERTAINTY." Journal of Automation and Information sciences 4 (July 1, 2021): 28–37. http://dx.doi.org/10.34229/1028-0979-2021-4-3.

Full text
Abstract:
The issues of parameter estimation in linear regression problems with random matrix coefficients were researched. Given that random linear functions are observed from unknown matrices with random errors that have unknown correlation matrices, the problems of guaranteed mean square estimation of linear functions of matrices were investigated. The estimates of the upper and lower guaranteed standard errors of linear estimates of observations of linear functions of matrices were obtained in the case when the sets are found, for which the unknown matrices and correlation matrices of observation er
APA, Harvard, Vancouver, ISO, and other styles
9

Anh, Nguyen Dong, and Nguyen Minh Triet. "A FULL DUAL MEAN SQUARE ERROR CRITERION FOR THE EQUIVALENT LINEARIZATION." Vietnam Journal of Science and Technology 54, no. 4 (2016): 557. http://dx.doi.org/10.15625/0866-708x/54/4/8103.

Full text
Abstract:
Among approximate methods, the method of equivalent linearization proposed by N. Krylov and N. Bogoliubov and extended by Caughey has remained an effective tool for both deterministic and stochastic problems. The idea of the method is based on the replacement of a nonlinear oscillator by a linear one under the same excitation. The standard way of implementing this method is that the coefficients of linearization are to be found from a criterion of equivalence. When the difference between the nonlinear function and equivalent linear one is significant the replacement leads to unaccepted errors.
APA, Harvard, Vancouver, ISO, and other styles
10

Ogasawara, Haruhiko. "Predictive estimation of variances and covariances using mean square errors." Proceedings of the Annual Convention of the Japanese Psychological Association 83 (September 11, 2019): 1A—039–1A—039. http://dx.doi.org/10.4992/pacjpa.83.0_1a-039.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Mean square errors"

1

Ponce, Hector F. "Is It More Advantageous to Administer Libqual+® Lite Over Libqual+®? an Analysis of Confidence Intervals, Root Mean Square Errors, and Bias." Thesis, University of North Texas, 2013. https://digital.library.unt.edu/ark:/67531/metadc283825/.

Full text
Abstract:
The Association of Research Libraries (ARL) provides an option for librarians to administer a combination of LibQUAL+® and LibQUAL+® Lite to measure users' perceptions of library service quality. LibQUAL+® Lite is a shorter version of LibQUAL+® that uses planned missing data in its design. The present study investigates the loss of information in commonly administered proportions of LibQUAL+® and LibQUAL+® Lite when compared to administering LibQUAL+® alone. Data from previous administrations of LibQUAL+® protocol (2005, N = 525; 2007, N = 3,261; and 2009, N = 2,103) were used to create simula
APA, Harvard, Vancouver, ISO, and other styles
2

Ainkaran, Ponnuthurai. "Analysis of Some Linear and Nonlinear Time Series Models." Thesis, The University of Sydney, 2004. http://hdl.handle.net/2123/582.

Full text
Abstract:
Abstract This thesis considers some linear and nonlinear time series models. In the linear case, the analysis of a large number of short time series generated by a first order autoregressive type model is considered. The conditional and exact maximum likelihood procedures are developed to estimate parameters. Simulation results are presented and compare the bias and the mean square errors of the parameter estimates. In Chapter 3, five important nonlinear models are considered and their time series properties are discussed. The estimating function approach for nonlinear models is developed in d
APA, Harvard, Vancouver, ISO, and other styles
3

Ainkaran, Ponnuthurai. "Analysis of Some Linear and Nonlinear Time Series Models." University of Sydney. Mathematics & statistics, 2004. http://hdl.handle.net/2123/582.

Full text
Abstract:
Abstract This thesis considers some linear and nonlinear time series models. In the linear case, the analysis of a large number of short time series generated by a first order autoregressive type model is considered. The conditional and exact maximum likelihood procedures are developed to estimate parameters. Simulation results are presented and compare the bias and the mean square errors of the parameter estimates. In Chapter 3, five important nonlinear models are considered and their time series properties are discussed. The estimating function approach for nonlinear models is developed in d
APA, Harvard, Vancouver, ISO, and other styles
4

Degtyarena, Anna Semenovna. "The window least mean square error algorithm." CSUSB ScholarWorks, 2003. https://scholarworks.lib.csusb.edu/etd-project/2385.

Full text
Abstract:
In order to improve the performance of LMS (least mean square) algorithm by decreasing the amount of calculations this research proposes to make an update on each step only for those elements from the input data set, that fall within a small window W near the separating hyperplane surface. This work aims to describe in detail the results that can be achieved by using the proposed LMS with window learning algorithm in information systems that employ the methodology of neural network for the purposes of classification.
APA, Harvard, Vancouver, ISO, and other styles
5

Cui, Xiangchen. "Mean-Square Error Bounds and Perfect Sampling for Conditional Coding." DigitalCommons@USU, 2000. https://digitalcommons.usu.edu/etd/7107.

Full text
Abstract:
In this dissertation, new theoretical results are obtained for bounding convergence and mean-square error in conditional coding. Further new statistical methods for the practical application of conditional coding are developed. Criteria for the uniform convergence are first examined. Conditional coding Markov chains are aperiodic, π-irreducible, and Harris recurrent. By applying the general theories of uniform ergodicity of Markov chains on genera l state space, one can conclude that conditional coding Markov cha ins are uniformly ergodic and further, theoretical convergence rates based on Doe
APA, Harvard, Vancouver, ISO, and other styles
6

Strobel, Matthias. "Estimation of minimum mean squared error with variable metric from censored observations." [S.l. : s.n.], 2008. http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-35333.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Fodor, Balázs [Verfasser]. "Contributions to Statistical Modeling for Minimum Mean Square Error Estimation in Speech Enhancement / Balázs Fodor." Aachen : Shaker, 2015. http://d-nb.info/1070151815/34.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Xing, Chengwen, and 邢成文. "Linear minimum mean-square-error transceiver design for amplify-and-forward multiple antenna relaying systems." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2010. http://hub.hku.hk/bib/B44769738.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Nicolson, Aaron M. "Deep Learning for Minimum Mean-Square Error and Missing Data Approaches to Robust Speech Processing." Thesis, Griffith University, 2020. http://hdl.handle.net/10072/399974.

Full text
Abstract:
Speech corrupted by background noise (or noisy speech) can cause misinterpretation and fatigue during phone and conference calls, and for hearing aid users. Noisy speech can also severely impact the performance of speech processing systems such as automatic speech recognition (ASR), automatic speaker verification (ASV), and automatic speaker identification (ASI) systems. Currently, deep learning approaches are employed in an end-to-end fashion to improve robustness. The target speech (or clean speech) is used as the training target or large noisy speech datasets are used to facilitate multi-co
APA, Harvard, Vancouver, ISO, and other styles
10

Dear, K. B. G. "A generalisation of mean squared error and its application to variance component estimation." Thesis, University of Reading, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.379691.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "Mean square errors"

1

Gaver, Donald Paul. Bayesian prediction of mean square errors with covariates. Naval Postgraduate School, 1992.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
2

Patterson, K. D. Revisions to the national income accounts: A multiplicative decomposition of mean square errors. University of Reading. Department of Economics, 1990.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
3

Clements, Michael P. On the limitations of comparing mean square forecast error. Oxford University, Institute of Economics and Statistics, 1992.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
4

Baram, Yoram. Mean-square error bounds for reduced-order linear state estimators. National Aeronautics and Space Administration, Ames Research Center, 1987.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
5

Hoque, Asraul. The exact multiperiod mean-square forecast error for the first-order autoregressive model. London School of Economics, 1986.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
6

Clark, Todd E. Using out-of-sample mean squared prediction errors to test the martingale difference hypothesis. Research Division, Federal Reserve Bank of Kansas City, 2004.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
7

Magnus, Jan R. The exact multiperiod mean-square forecast error for the first-order autoregressive modelwith an intercept. National Institute of Economic and Social Research, 1988.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
8

Magnus, Jan R. The exact multiperiod mean-square forecast error for the first-order autoregressive model with an intercept. International Centre for Economics and Related Disciplines, 1988.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
9

United States. National Aeronautics and Space Administration. Scientific and Technical Information Division., ed. Measured and predicted root-mean-square errors in square and triangular antenna mesh facets. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1989.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
10

United States. National Aeronautics and Space Administration. Scientific and Technical Information Division., ed. Measured and predicted root-mean-square errors in square and triangular antenna mesh facets. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1989.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Book chapters on the topic "Mean square errors"

1

Theil, Henri, and Myron Scholes. "Forecast Evaluation Based on a Multiplicative Decomposition of Mean Square Errors." In Advanced Studies in Theoretical and Applied Econometrics. Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2410-2_8.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Fürnkranz, Johannes, Philip K. Chan, Susan Craw, et al. "Mean Squared Error." In Encyclopedia of Machine Learning. Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-30164-8_528.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Shekhar, Shashi, and Hui Xiong. "Root-Mean-Square Error." In Encyclopedia of GIS. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_1142.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Benesty, Jacob, Jingdong Chen, Yiteng Huang, and Israel Cohen. "Mean-Squared Error Criterion." In Noise Reduction in Speech Processing. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00296-0_4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Weik, Martin H. "minimum mean-square error filtering." In Computer Science and Communications Dictionary. Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_11569.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Weik, Martin H. "minimum mean-square error restoration." In Computer Science and Communications Dictionary. Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_11570.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Principe, Jose C., Yadunandana N. Rao, and Deniz Erdogmus. "Error Whitening Wiener Filters: Theory and Algorithms." In Least-Mean-Square Adaptive Filters. John Wiley & Sons, Inc., 2005. http://dx.doi.org/10.1002/0471461288.ch10.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Dekking, Frederik Michel, Cornelis Kraaikamp, Hendrik Paul Lopuhaä, and Ludolf Erwin Meester. "Efficiency and mean squared error." In A Modern Introduction to Probability and Statistics. Springer London, 2005. http://dx.doi.org/10.1007/1-84628-168-7_20.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Morales, Domingo, María Dolores Esteban, Agustín Pérez, and Tomáš Hobza. "Mean Squared Error of EBLUPs." In A Course on Small Area Estimation and Mixed Models. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-63757-6_9.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Liu, Yan. "Mean Square Error of Survey 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_1754.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Mean square errors"

1

Skorohod, B. "Study of Mean Square Errors of Receding Horizon Unbiased FIR Filters." In 2020 International Russian Automation Conference (RusAutoCon). IEEE, 2020. http://dx.doi.org/10.1109/rusautocon49822.2020.9208092.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Ihn, Yong Seok, Sae Whan Park, and Ja Choon Koo. "Position Alignment of Micro Manipulator Using Root Mean Square Errors for Maskless Lithography System." In ASME 2013 Conference on Information Storage and Processing Systems. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/isps2013-2943.

Full text
Abstract:
A precision optical exposure process of lithography has become one of the essential processes to manufacture and develop micro electro mechanical system (MEMS) devices, flat panel display (FPD), and semiconductor. For a typical exposure process for the lithography, a photomask that is often very expensive is required to generate patterns[1]. So it is very inefficient not only in terms of cost but also the time due to the reliance on the photomasks in development. The alternative solution is the maskless lithography system, which does not use photomasks since the patterns are generated by using
APA, Harvard, Vancouver, ISO, and other styles
3

Liao, Y. Y., H. N. Chiang, J. J. Wang, F. C. Hsu, C. F. Wu, and Shreyes N. Melkote. "A Part Error Model Considering the Machine Tool Positioning Errors and Process-Induced Errors." In ASME 2009 International Manufacturing Science and Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/msec2009-84179.

Full text
Abstract:
Parts geometrical and dimensional error for a machining process can be attributed to several factors, including tool wear, thermal deformation, the machine tool positioning error and force-induced process error. Although the latter two factors are often more significant, their effect on the parts accuracy is more elusive and difficult to predict due to their inherent statistical dispersion property. It is therefore the subject of this investigation to quantitatively relate the parts error to machine tool spatial error and process-induced errors. Through root mean square calculation, a part err
APA, Harvard, Vancouver, ISO, and other styles
4

Bielecki, Mark F., Jason J. Kemper, and Thomas L. Acker. "A Methodology for Comprehensive Characterization of Errors in Wind Power Forecasting." In ASME 2010 4th International Conference on Energy Sustainability. ASMEDC, 2010. http://dx.doi.org/10.1115/es2010-90381.

Full text
Abstract:
Wind power forecasting will play a more important role in electrical system planning with the greater wind penetrations of the coming decades. Wind will most likely comprise a larger percentage of the generation mix, and as a result forecasting errors may have more significant effects on balancing operations. The natural uncertainties associated with wind along with limitations in numerical weather prediction (NWP) models lead to these forecasting errors, which play a considerable role in the impacts and costs of utility-scale wind integration. The premise of this project was to examine errors
APA, Harvard, Vancouver, ISO, and other styles
5

ÜNEŞ, Fatih, Bestami TAŞAR, Hakan VARÇİN, and Ercan GEMİCİ. ""River Sediment Amounts Prediction with Regression and Support Vector Machine Methods."." In Air and Water – Components of the Environment 2022 Conference Proceedings. Casa Cărţii de Ştiinţă, 2022. http://dx.doi.org/10.24193/awc2022_10.

Full text
Abstract:
Accurate estimation of the amount of sediment in rivers; determination of pollution, river transport, determination of dam life, etc. matters are very important. In this study, sediment estimation in the river was made using Interaction Regression (IR), Pure-Quadratic Regression (PQR) and Support Vector machine (SVM) methods. The observation station on the Patapsco River near Catonsville was chosen as the study area. Prediction model was developed by using daily flow and turbidity data between 2015- 2018 as input parameters. Models were compared to each other according to three statistical cri
APA, Harvard, Vancouver, ISO, and other styles
6

MOZGERIS, Gintautas, Ina BIKUVIENĖ, and Donatas JONIKAVICIUS. "THE OPPORTUNITIES AND CHALLENGES OF USING AIRBORNE LASER SCANNING FOR FOREST INVENTORIES IN LITHUANIA." In RURAL DEVELOPMENT. Aleksandras Stulginskis University, 2018. http://dx.doi.org/10.15544/rd.2017.023.

Full text
Abstract:
The aim of this study was to test the usability of airborne laser scanning (ALS) data for stand-wise forest inventories in Lithuania based on operational approaches from Nordic countries, taking into account Lithuanian forest conditions and requirements for stand-wise inventories, such as more complex forests, unified requirements for inventory of all forests, i.e. no matter the ownership, availability of supporting material from previous inventories and high accuracy requirements for total volume estimation. Test area in central part of Lithuania (area 2674 ha) was scanned using target point
APA, Harvard, Vancouver, ISO, and other styles
7

Clarke, Stephen. "Objective assessment of forecasting assignments using some function of prediction errors." In Assessing Student leaning in Statistics. International Association for Statistical Education, 2007. http://dx.doi.org/10.52041/srap.07501.

Full text
Abstract:
One way of examining forecasting methods via assignments is to give each student a real or simulated set of data, with a requirement to forecast future values. However checking the accuracy of calculations for the host of possible methods can be onerous. One solution is to make part or the entire assessment dependent on the accuracy of the forecasts obtained. This mirrors real life, where forecasts are judged not by the method used but by how accurate the predictions turn out. This paper investigates how this might work with an actual example. Using simulated data from a model which incorporat
APA, Harvard, Vancouver, ISO, and other styles
8

Vegendla, Prasad, Rui Hu, and Ling Zou. "CFD Model Validation for a Benchmark Data of Texas A&M 1/16th Scaled VHTR Upper Plenum." In ASME 2020 Verification and Validation Symposium. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/vvs2020-8813.

Full text
Abstract:
Abstract In High Temperature Gas-cooled Reactors (HTGR), gas flow patterns are very complex and reduced order models (1D or 2D) may be too simplified to predict accurate reactor performance. 3D Computational Fluid Dynamics (CFD) models can help provide the detailed information needed to optimize the reactor thermal performance. The main objective of this work is to validate the CFD models with data of a 1/16th scaled Very High Temperature Reactor (VHTR) upper plenum measured at Texas A&M University. In this paper, the flow characteristics of a single isothermal jet discharging into the upp
APA, Harvard, Vancouver, ISO, and other styles
9

Guo, Yongwei, Qiming Wang, and Xuedong Gu. "Analysis of Manufacture Errors for Space Truss With Bolted Spherical Joints Base on Monte Carlo Method." In ASME 2010 10th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2010. http://dx.doi.org/10.1115/esda2010-25180.

Full text
Abstract:
The active reflector of the five-hundred-meter aperture sphere radio telescope (FAST) is constituted by about 4600 triangular reflector elements, whose surface error will determine the telescope’s antenna efficiency. One solution is a grid structure backup with the bolted spherical joints, in which the surface accuracy is dominated mainly by the length accuracy of the rods in it. In this paper, an accuracy analysis based on Monte Carlo method is proceeded to predict the surface error. Random errors are input the rods, and the surface errors in root mean square (rms) are output. After the calcu
APA, Harvard, Vancouver, ISO, and other styles
10

Hellström, Erik, Anna Stefanopoulou, and Li Jiang. "A Linear Least-Squares Algorithm for Double-Wiebe Functions Applied to Spark-Assisted Compression Ignition." In ASME 2013 Internal Combustion Engine Division Fall Technical Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/icef2013-19068.

Full text
Abstract:
An algorithm for determining the four tuning parameters in a double-Wiebe description of the combustion process in spark-assisted compression ignition engines is presented where the novelty is that the tuning problem is posed as a weighted linear least-squares problem. The approach is applied and shown to describe well an extensive data set from a light-duty gasoline engine for various engine speeds and loads. Correlations are suggested for the four parameters based on the results, which illustrates how the double-Wiebe approach can also be utilized in predictive simulation. The effectiveness
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Mean square errors"

1

Gaver, Donald P., and Patricia A. Jacobs. Bayesian Prediction of Mean Square Errors with Covariates. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada259585.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Collins, Clarence O., and Tyler J. Hesser. altWIZ : A System for Satellite Radar Altimeter Evaluation of Modeled Wave Heights. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/39699.

Full text
Abstract:
This Coastal and Hydraulics Engineering Technical Note (CHETN) describes the design and implementation of a wave model evaluation system, altWIZ, which uses wave height observations from operational satellite radar altimeters. The altWIZ system utilizes two recently released altimeter databases: Ribal and Young (2019) and European Space Agency Sea State Climate Change Initiative v.1.1 level 2 (Dodet et al. 2020). The system facilitates model evaluation against 1 Hz1 altimeter data or a product created by averaging altimeter data in space and time around model grid points. The system allows, fo
APA, Harvard, Vancouver, ISO, and other styles
3

Clark, Todd, and Kenneth West. Using Out-of-Sample Mean Squared Prediction Errors to Test the Martingale Difference. National Bureau of Economic Research, 2005. http://dx.doi.org/10.3386/t0305.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Sun, Winston Y. Linear adaptive noise-reduction filters for tomographic imaging: Optimizing for minimum mean square error. Office of Scientific and Technical Information (OSTI), 1993. http://dx.doi.org/10.2172/10148667.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Lio, Y. L., and W. J. Padgett. On the Mean Squared Error of Nonparametric Quantile Estimators under Random Right-Censorship. Defense Technical Information Center, 1986. http://dx.doi.org/10.21236/ada174517.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Kwesiga, Victoria, Zita Ekeocha, Stephen Robert Byrn, and Kari L. Clase. Compliance to GMP guidelines for Herbal Manufacturers in East Africa: A Position Paper. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317428.

Full text
Abstract:
With the global increase in the use of traditional and complementary remedies for the prevention and treatment of illness, the quality and safety of these medicines have become a significant concern for all regulatory authorities. Herbal medicines are the most commonly used form of traditional and complementary medicines in the world and the efficacy and safety of herbal medicines, like conventional medicines, largely depends on their quality from planting to harvesting, preprocessing and final processing. Due to the inherent complexity of herbal medicines, often containing an array of active
APA, Harvard, Vancouver, ISO, and other styles
7

Bruder, Brittany L., Katherine L. Brodie, Tyler J. Hesser, Nicholas J. Spore, Matthew W. Farthing, and Alexander D. Renaud. guiBath y : A Graphical User Interface to Estimate Nearshore Bathymetry from Hovering Unmanned Aerial System Imagery. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/39700.

Full text
Abstract:
This US Army Engineer Research and Development Center, Coastal and Hydraulics Laboratory, technical report details guiBathy, a graphical user interface to estimate nearshore bathymetry from imagery collected via a hovering Unmanned Aerial System (UAS). guiBathy provides an end-to-end solution for non-subject-matter-experts to utilize commercia-off-the-shelf UAS to collect quantitative imagery of the nearshore by packaging robust photogrammetric and signal-processing algorithms into an easy-to-use software interface. This report begins by providing brief background on coastal imaging and the ph
APA, Harvard, Vancouver, ISO, and other styles
8

Pradhan, Nawa Raj. Estimating growing-season root zone soil moisture from vegetation index-based evapotranspiration fraction and soil properties in the Northwest Mountain region, USA. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42128.

Full text
Abstract:
A soil moisture retrieval method is proposed, in the absence of ground-based auxiliary measurements, by deriving the soil moisture content relationship from the satellite vegetation index-based evapotranspiration fraction and soil moisture physical properties of a soil type. A temperature–vegetation dryness index threshold value is also proposed to identify water bodies and underlying saturated areas. Verification of the retrieved growing season soil moisture was performed by comparative analysis of soil moisture obtained by observed conventional in situ point measurements at the 239-km2 Reyno
APA, Harvard, Vancouver, ISO, and other styles
9

Rossi, Jose Luiz, Carlos Piccioni, Marina Rossi, and Daniel Cuajeiro. Brazilian Exchange Rate Forecasting in High Frequency. Inter-American Development Bank, 2022. http://dx.doi.org/10.18235/0004488.

Full text
Abstract:
We investigated the predictability of the Brazilian exchange rate at High Frequency (1, 5 and 15 minutes), using local and global economic variables as predictors. In addition to the Linear Regression method, we use Machine Learning algorithms such as Ridge, Lasso, Elastic Net, Random Forest and Gradient Boosting. When considering contemporary predictors, it is possible to outperform the Random Walk at all frequencies, with local economic variables having greater predictive power than global ones. Machine Learning methods are also capable of reducing the mean squared error. When we consider on
APA, Harvard, Vancouver, ISO, and other styles
10

Pompeu, Gustavo, and José Luiz Rossi. Real/Dollar Exchange Rate Prediction Combining Machine Learning and Fundamental Models. Inter-American Development Bank, 2022. http://dx.doi.org/10.18235/0004491.

Full text
Abstract:
The study of the predictability of exchange rates has been a very recurring theme on the economics literature for decades, and very often is not possible to beat a random walk prediction, particularly when trying to forecast short time periods. Although there are several studies about exchange rate forecasting in general, predictions of specifically Brazilian real (BRL) to United States dollar (USD) exchange rates are very hard to find in the literature. The objective of this work is to predict the specific BRL to USD exchange rates by applying machine learning models combined with fundamental
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Mean square errors' for particular source types:
Journal articles Dissertations / Theses Books
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography