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Books on the topic 'Linear error'

Author: Grafiati

Published: 3 June 2025

Last updated: 1 August 2025

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1

Guang, Xuan, and Zhen Zhang. Linear Network Error Correction Coding. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-0588-1.

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2

Weng, Stanley. Elimination in linear editing and error localization. United States Department of Agriculture, National Agricultural Statistics Service, Research and Development Division, 2002.

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3

Arioli, M. Solving sparse linear systems with sparse backward error. Courant Institute of Mathematical Sciences, New York University, 1988.

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4

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

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5

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

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6

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

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7

McMillan, David G. Non-linear error correction in spot and forward exchange rates. St. Salvator's College, 2001.

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8

Brunner, Lawrence J. Bayesian linear regression with error terms that have symmetric unimodal densities. Department of Statistics, University of Toronto, 1989.

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9

United States. National Aeronautics and Space Administration., ed. On the equivalence of Gaussian elimination and Gauss-Jordan reduction in solving linear equations. National Aeronautics and Space Administration, 1989.

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10

Zeng, Lingjia. Standard errors of linear equating for the single-group design. American College Testing Program, 1991.

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11

Palmgren, Juni. Models for categorical data with errors of observation. Dept. of Statistics, University of Helsinki, 1987.

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12

United States. National Aeronautics and Space Administration., ed. The binary weight distribution of the extended (2[superscript m], 2[superscript m]-4) code of Reed-Solomon code over GF(2[superscript m]) with generator polynomial (x-[alpha])(x-[alpha]²)(x-[alpha]³): Technical report to NASA Goddard Space Flight Center. National Aeronautics and Space Administration, 1987.

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13

Scott, Long J., ed. Common problems/proper solutions: Avoiding error in quantitative research. Sage Publications, 1988.

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14

Knottnerus, Paul. Linear models with correlated disturbances. Springer-Verlag, 1991.

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15

Shu, Lin. Soft-decision decoding techniques for linear block codes and their error performance analysis. National Aeronautics and Space Administration, 1996.

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16

Shu, Lin. Soft-decision decoding techniques for linear block codes and their error performance analysis. National Aeronautics and Space Administration, 1996.

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17

Shu, Lin. Soft-decision decoding techniques for linear block codes and their error performance analysis. National Aeronautics and Space Administration, 1996.

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18

United States. National Aeronautics and Space Administration., ed. Soft-decision decoding techniques for linear block codes and their error performance analysis. National Aeronautics and Space Administration, 1996.

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19

Stuhr, Klaus-Peter. Experimentelle Untersuchungen zur Abschätzung des maximalen Aggregationsfehlers in linearen Programmen. VVF, 1987.

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20

Rogers, Janet. Economic data: Handle with care. U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1998.

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21

L, Fales Carl, Skolaut M. W, and Langley Research Center, eds. Wavelength error analysis in a multiple-beam Fizeau laser wavemeter having a linear diode array readout. National Aeronautics and Space Administration, Langley Research Center, 1986.

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22

Shu, Lin. On linear structure and phase rotation invariant properties of block 2[superscript l]-PSK modulation codes. National Aeronautics and Space Administration, 1990.

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23

Barnett, Stephen. Some modern applications of mathematics. E. Horwood, 1995.

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24

Tsang, K. M. A prediction-error estimation algorithm for the reconstruction of linear and nonlinear continuous time models from frequency response data. University of Sheffield, Dept. of Control Engineering, 1991.

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25

Pester, Cornelia. A posteriori error estimation for non-linear eigenvalue problems for differential operators of second order with focus on 3D vertex singularities. Logos-Verl., 2006.

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26

Miller, J. J. H. Fitted Numerical Methods for Singular Perturbation Problems: Error estimates in the maximum norm for linear problems in one and two dimensions. World Scientific, 2012.

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27

Johnson, Katherine G., and United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch., eds. Effects of model error on control of large flexible space antenna with comparisons of decoupled and linear quadratic regulator control procedures. National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1986.

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28

E, O'Riordan, and Shishkin G. I, eds. Fitted numerical methods for singular perturbation problems: Error estimates in the maximum norm for linear problems in one and two dimensions. World Scientific, 1996.

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29

Zeng, Lingjia. Standard errors of linear equating for the single-group design. American College Testing Programs, 1991.

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30

J, Carroll Raymond, and Carroll Raymond J, eds. Measurement error in nonlinear models: A modern perspective. 2nd ed. Chapman & Hall/CRC, 2006.

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31

David, Gottlieb, Carpenter Mark H, and Institute for Computer Applications in Science and Engineering., eds. On the removal of boundary errors caused by Runge-Kutta integration of non-linear partial differential equations. Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1994.

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32

David, Gottlieb, Carpenter Mark H, and Institute for Computer Applications in Science and Engineering., eds. On the removal of boundary errors caused by Runge-Kutta integration of non-linear partial differential equations. Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1994.

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33

France) International Conference on Noncommutative Rings and Their Applications (2013 Artois. Noncommutative rings and their applications: International Conference on Noncommutative Rings and Their Applications, July 1-4, 2013, University of Artois, France. Edited by Dougherty Steven 1966 editor, Facchini Alberto editor, Leroy, Andre (Andre Gerard), 1955- editor, Puczylowski Edmund editor, and Sole Patrick 1960 editor. American Mathematical Society, 2015.

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34

Hamer, Harold A. Effects of model errors on control of large flexible space antenna with comparisons of decoupled and linear quadratic regulator control procedures. Langley Research Center, 1986.

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35

United States. National Aeronautics and Space Administration., ed. Study of one- and two-dimensional filtering and deconvolution algorithms for a streaming array computer: Final report. National Aeronautics and Space Administration, 1985.

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36

United States. National Aeronautics and Space Administration., ed. Study of one- and two-dimensional filtering and deconvolution algorithms for a streaming array computer: Final report, appendix 5. National Aeronautics and Space Administration, 1985.

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37

United States. National Aeronautics and Space Administration., ed. Study of one- and two-dimensional filtering and deconvolution algorithms for a streaming array computer: Final report, appendix 5. National Aeronautics and Space Administration, 1985.

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38

United States. National Aeronautics and Space Administration., ed. Study of one- and two-dimensional filtering and deconvolution algorithms for a streaming array computer: Final report : [appendices]. National Aeronautics and Space Administration, 1985.

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39

Ponomareva, Lyudmila, and Natal'ya Stel'mashenko. Accounting (financial) statements. INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1898405.

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The textbook provides a comprehensive understanding of the content and procedure for the preparation of reporting forms included in the annual accounting statements; reveals the stages of preparatory work preceding the preparation of accounting statements; analyzes typical errors made during its formation; provides a line-by-line commentary on filling out each of its forms in accordance with current federal accounting standards. The methodological material is illustrated with digital examples of accounting and filling out annual accounting forms. Meets the requirements of the feder

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40

Gadzhiev, Nazirhan, Natal'ya Ivlicheva, Pavel Ivlichev, et al. Accounting. INFRA-M Academic Publishing LLC., 2019. http://dx.doi.org/10.12737/1032771.

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The textbook contains 29 topics that reveal the specifics of the discipline "Accounting". Their study will allow students to master the basic techniques, accounting techniques, learn to identify errors and violations in the work of the organization, signs of economic crimes, acquire skills in working with regulatory documents regulating accounting and financial work in the line of economic security and anti-corruption. Meets the requirements of the Federal state educational standards of higher education of the last generation. Designed for students majoring in 38.05.01 " Economic s

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41

Error-Correcting Linear Codes. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/3-540-31703-1.

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42

Guang, Xuan, and Zhen Zhang. Linear Network Error Correction Coding. Springer London, Limited, 2014.

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43

Guang, Xuan, and Zhen Zhang. Linear Network Error Correction Coding. Springer New York, 2014.

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44

Ding, C. Designs from Linear Codes. World Scientific Publishing Co Pte Ltd, 2018.

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45

Tang, Chunming, and C. Ding. Designs from Linear Codes. Unknown Publisher, 2022.

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46

Kerber, Adalbert, Anton Betten, Harald Fripertinger, Axel Kohnert, and Michael Braun. Error-Correcting Linear Codes: Classification by Isometry and Applications. Springer Berlin / Heidelberg, 2014.

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47

National Aeronautics and Space Administration (NASA) Staff. Modeling Error Analysis of Stationary Linear Discrete-Time Filters. Independently Published, 2018.

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48

Error-Correcting Linear Codes: Classification by Isometry and Applications. Springer London, Limited, 2006.

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49

Cardot, Hervé, and Pascal Sarda. Functional Linear Regression. Edited by Frédéric Ferraty and Yves Romain. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199568444.013.2.

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This article presents a selected bibliography on functional linear regression (FLR) and highlights the key contributions from both applied and theoretical points of view. It first defines FLR in the case of a scalar response and shows how its modelization can also be extended to the case of a functional response. It then considers two kinds of estimation procedures for this slope parameter: projection-based estimators in which regularization is performed through dimension reduction, such as functional principal component regression, and penalized least squares estimators that take into account

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50

Sauter, Roger M. A method for estimation of generalized linear models when explanatory variables contain meaurement error. 1989.

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