Relevant bibliographies by topics / Linear error

Contents

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

Academic literature on the topic 'Linear error'

Author: Grafiati
Published: 3 June 2025
Last updated: 20 July 2025

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Journal articles on the topic "Linear error"

1

Lelboy, Natalia Emanuela, Selestina Nahak, and Justin Eduardo Simarmata. "ANALISIS KESALAHAN DALAM MENYELESAIKAN SOAL MATEMATIKA SISTEM PERSAMAAN LINEAR TIGA VARIABEL." MES: Journal of Mathematics Education and Science 7, no. 1 (2021): 10–20. http://dx.doi.org/10.30743/mes.v7i1.4347.

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This study aims to identify and describe the erros experienced by students in solfing comparison questions and to determine the causal factors in completing the comparison material for studenst of SMA Stella Gratia Atambua. The research method used is descriptive qualitative method. The subjects in this study were students of class X SMA Stella Gratia Atambua for the 2020/2021 school year. The data collection techniques used were tests and interviews. The instruments in this study was a test item in the form of a description with 3 numbers of questions and an interview guide. Based on the resu
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Rudnyi, E. B. "Statistical model of systematic errors: linear error model." Chemometrics and Intelligent Laboratory Systems 34, no. 1 (1996): 41–54. http://dx.doi.org/10.1016/0169-7439(96)00004-4.

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Feng, Keqin, Lanju Xu, and Fred J. Hickernell. "Linear error-block codes." Finite Fields and Their Applications 12, no. 4 (2006): 638–52. http://dx.doi.org/10.1016/j.ffa.2005.03.006.

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Tian, Yudong, Grey S. Nearing, Christa D. Peters-Lidard, Kenneth W. Harrison, and Ling Tang. "Performance Metrics, Error Modeling, and Uncertainty Quantification." Monthly Weather Review 144, no. 2 (2016): 607–13. http://dx.doi.org/10.1175/mwr-d-15-0087.1.

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Abstract A common set of statistical metrics has been used to summarize the performance of models or measurements—the most widely used ones being bias, mean square error, and linear correlation coefficient. They assume linear, additive, Gaussian errors, and they are interdependent, incomplete, and incapable of directly quantifying uncertainty. The authors demonstrate that these metrics can be directly derived from the parameters of the simple linear error model. Since a correct error model captures the full error information, it is argued that the specification of a parametric error model shou
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Zulhendri, Z. Mawardi Effendi, and Darmansyah. "Analysis Of Student’s Error In Solving Linear Inequality." East Asian Journal of Multidisciplinary Research 1, no. 4 (2022): 559–70. http://dx.doi.org/10.55927/eajmr.v1i4.354.

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The purpose of this study is to describe the analyses of errors that students make in solving Linear Inequality. The method used in this study is a qualitative descriptive method. Questions were given to 3 students of Mathematic program of Pahlawan University. The data collection techniques in this study were the results of students' written tests and the results of interviews related to the results of students' written tests. Based on the results of the research conducted, it is known that the types of student mistakes math in solving the linear inequality problem are: a) Conceptual errors ma
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Zhang, Penghai, Tao Wang, and Jun Zha. "A study on accuracy of linear ball guide." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 236, no. 7 (2022): 3293–312. http://dx.doi.org/10.1177/09544062211023069.

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The accuracy of linear motion guide greatly affects the form accuracy of the processed parts in precision machine tools. For the linear ball guide, it is an important issue that how to improve accuracy by optimizing structure parameters based on the geometric errors. Due to the diversity of geometric errors and structure parameters, it requires a quantitative indicator of error averaging ability to judge whether a linear ball guide has higher accuracy. In this article, based on the newly built accuracy model and the newly defined averaging coefficient, the influence of rail profile errors and
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Chen, Bor Nan, and Yinyi Lin. "Hybrid Error Concealment Using Linear Interpolation." ECTI Transactions on Electrical Engineering, Electronics, and Communications 6, no. 2 (2007): 117–25. http://dx.doi.org/10.37936/ecti-eec.200862.171773.

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In this paper a hybrid error concealment algorithm using linear interpolation is proposed. In the proposed hybrid algorithm, the selective motion field interpolation (SMFI) is employed to conceal the erroneous macroblock. The spatial and temporal boundary-matched errors are then used to check whether the SMFI conceals the erroneous macroblock properly. If the temporally recovered macroblock is reconstructed incorrectly, the spatial error concealment using linear interpolation is employed to conceal the damaged macroblock instead of SMFI.It can achieve better performance subjectively as well as
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Santoso, Mutiara Winda, Dinawati Trapsilasiwi, and Randi Pratama Murtikusuma. "The ANALISIS KESALAHAN SISWA DALAM MENYELESAIKAN SOAL CERITA SPLDV BERDASARKAN TAHAPAN NEWMAN DITINJAU DARI TIPE KEPRIBADIAN FLORENCE LITTAUER." KadikmA 12, no. 2 (2021): 48. http://dx.doi.org/10.19184/kdma.v12i2.25014.

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The aim of this qualitative research is to describe the types of student errors in solving the two-variable linear equation system story problem based on Newman's error analysis in terms of Florence Littauer's personality type. The data sources consisted of 8 students of grade IX C SMP Nuris Jember who had been taught the material of two-variable linear equation systems. The data taken were the results of the questionnaire used to group students into four categories of personality types, the results of the student's story problem solving test results, and the results of the interviews of the s
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Dass, B. K., and Rashmi Verma. "REPEATED BURST ERROR CORRECTING LINEAR CODES." Asian-European Journal of Mathematics 01, no. 03 (2008): 303–35. http://dx.doi.org/10.1142/s1793557108000278.

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Many kinds of errors in coding theory have been dealt with for which codes have been constructed to combat such errors. Though there is a long history concerning the growth of the subject and many of the codes developed have found applications in numerous areas of practical interest, one of the areas of practical importance in which a parallel growth of the subject took place is that of burst error detecting and correcting codes. The nature of burst errors differ from channel to channel depending upon the behaviour of channels or the kind of errors which occur during the process of data transm
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Lasser, Rupert, and Sebastian Walcher. "Error Estimatesfor Linear Compartmental Systems." SIAM Journal on Matrix Analysis and Applications 23, no. 4 (2002): 1013–24. http://dx.doi.org/10.1137/s0895479800374522.

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Dissertations / Theses on the topic "Linear error"

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Cao, Chendi. "Linear regression with Laplace measurement error." Kansas State University, 2016. http://hdl.handle.net/2097/32719.

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Master of Science<br>Statistics<br>Weixing Song<br>In this report, an improved estimation procedure for the regression parameter in simple linear regression models with the Laplace measurement error is proposed. The estimation procedure is made feasible by a Tweedie type equality established for E(X|Z), where Z = X + U, X and U are independent, and U follows a Laplace distribution. When the density function of X is unknown, a kernel estimator for E(X|Z) is constructed in the estimation procedure. A leave-one-out cross validation bandwidth selection method is designed. The finite sample perform
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Justino, Júlia Maria da Rocha Vilaverde. "Nonstandard linear algebra with error analysis." Doctoral thesis, Universidade de Évora, 2013. http://hdl.handle.net/10174/16316.

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Neste trabalho consideramos sistemas de equações lineares exíveis, sistemas de equações lineares cujos coe cientes têm incertezas de tipo o (:) ou O (:). Este tipo de incertezas irá ser analisado, à luz da análise não standard, como conjuntos de in nitesimais conhecidos como neutrizes. Em sistemas de equações lineares exíveis nem sempre existe uma solução exata. No entanto, neste trabalho apresentam-se condições que garantem a existência de pelo menos uma solução admissível, no sentido de inclusão, e as condições que garantem a existência de solução maximal nesse tipo de sistemas. Tais condi
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Tjhai, Cen Jung. "A study of linear error correcting codes." Thesis, University of Plymouth, 2007. http://hdl.handle.net/10026.1/1624.

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Since Shannon's ground-breaking work in 1948, there have been two main development streams of channel coding in approaching the limit of communication channels, namely classical coding theory which aims at designing codes with large minimum Hamming distance and probabilistic coding which places the emphasis on low complexity probabilistic decoding using long codes built from simple constituent codes. This work presents some further investigations in these two channel coding development streams. Low-density parity-check (LDPC) codes form a class of capacity-approaching codes with sparse parity-
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Feldman, Jon 1975. "Decoding error-correcting codes via linear programming." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/42831.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003.<br>Includes bibliographical references (p. 147-151).<br>Error-correcting codes are fundamental tools used to transmit digital information over unreliable channels. Their study goes back to the work of Hamming [Ham50] and Shannon [Sha48], who used them as the basis for the field of information theory. The problem of decoding the original information up to the full error-correcting potential of the system is often very complex, especially for modern codes that approach the theoreti
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Ong, Chong Tean. "On the undetected error probability of linear codes." Thesis, University of British Columbia, 1990. http://hdl.handle.net/2429/29722.

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The probability of undetected error P[formula omitted](є) for the primitive triple-error-correcting BCH codes of blocklength 2[formula omitted]  1, used solely for error detection on a binary symmetric channel with crossover probability є ≤ 1/2, is examined. It is shown that for odd values of m, P[formula omitted(є) increases monotonically with є. For even values of m, this is not necessarily true. However, for a fixed є, as m increases, P[formula omitted](є) approaches 2‾[formula omitted] where p is the number of parity bits. The extended double and triple-error-correcting primitive BCH cod
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Lin, Winnie Carleton University Dissertation Engineering Systems and Computer. "Generalised linear anticodes and optimum error-correcting codes." Ottawa, 1995.

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Alabbadi, Mohssen. "Intergration of error correction, encryption, and signature based on linear error-correcting block codes." Diss., Georgia Institute of Technology, 1993. http://hdl.handle.net/1853/14959.

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Ghafoor, Abdul. "Frequency-weighted model reduction and error bounds." University of Western Australia. School of Electrical, Electronic and Computer Engineering, 2007. http://theses.library.uwa.edu.au/adt-WU2007.0118.

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This thesis investigates the frequency weighted balanced model reduction problem for linear time invariant systems. Both continuous and discrete time systems are considered, in one and two-dimensions. First the frequency weighted balanced model reduction problem is formulated, then a novel frequency weighted, balanced, model reduction method for continuous time systems is proposed. This method is based on the retention of frequency weighted Hankel singular values of the original system, and yields stable reduced order models even when two sided weightings are employed. An alternative frequency
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Keil, Christian. "Rigorous error bounds for finite dimensional linear programming problems." Norderstedt : Books on Demand, 2009. http://d-nb.info/994667906/34.

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Zhou, Jianqin. "The k-error Linear Complexity Distribution for Periodic Sequences." Thesis, Curtin University, 2017. http://hdl.handle.net/20.500.11937/54062.

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This thesis proposes various novel approaches for studying the k-error linear complexity distribution of periodic binary sequences for k > 2, and the second descent point and beyond of k-error linear complexity critical error points. We present a new tool called Cube Theory. Based on Games-Chan algorithm and the cube theory, a constructive approach is presented to construct periodic sequences with the given k-error linear complexity profile. All examples are verified by computer programs.
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Books on the topic "Linear error"

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

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

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

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Book chapters on the topic "Linear error"

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La Guardia, Giuliano Gadioli. "Some Linear Algebra." In Quantum Error Correction. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-48551-1_1.

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La Guardia, Giuliano Gadioli. "Linear Block Codes." In Quantum Error Correction. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-48551-1_4.

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Faraway, Julian J. "Problems with the Error." In Linear Models with Python, 10th ed. Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9781351053419-8.

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Faraway, Julian J. "Modeling with the Error." In Linear Models with R, 3rd ed. Chapman and Hall/CRC, 2025. https://doi.org/10.1201/9781003449973-9.

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Groß, Jürgen. "The Covariance Matrix of the Error Vector." In Linear Regression. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-55864-1_5.

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Ball, Simeon. "Linear Codes." In A Course in Algebraic Error-Correcting Codes. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-41153-4_4.

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Guang, Xuan, and Zhen Zhang. "Network Error Correction Model." In Linear Network Error Correction Coding. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-0588-1_2.

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Gazi, Orhan. "Linear Block Codes." In Forward Error Correction via Channel Coding. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-33380-5_2.

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Reed, Irving S., and Xuemin Chen. "Linear Block Codes." In Error-Control Coding for Data Networks. Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5005-1_3.

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Reed, Irving S., and Xuemin Chen. "Linear Cyclic Codes." In Error-Control Coding for Data Networks. Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5005-1_4.

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Conference papers on the topic "Linear error"

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Pin, Gilberto, Yizhou Gong, Yang Wang, and Andrea Serrani. "Parameter Identification in Linear Error Equations: Guaranteeing Output Error Boundedness." In 2024 IEEE 63rd Conference on Decision and Control (CDC). IEEE, 2024. https://doi.org/10.1109/cdc56724.2024.10886890.

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Chen, Yichang, Hangchuan Jia, Yongjian Sun, Hui Xiao, Zhenbo Zhu, and Liang Hong. "DOA Estimation for Sparse Linear Array With Position Error." In 2024 IEEE 17th International Conference on Signal Processing (ICSP). IEEE, 2024. https://doi.org/10.1109/icsp62129.2024.10846103.

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Cohen, Alejandro, and Rafael G. L. D'Oliveira. "Error Correction Capabilities of Non-Linear Cryptographic Hash Functions." In 2024 IEEE International Symposium on Information Theory (ISIT). IEEE, 2024. http://dx.doi.org/10.1109/isit57864.2024.10619370.

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Candes, Emmanuel, Mark Rudelson, Terence Tao, and Roman Vershynin. "Error correction via linear programming." In 46th Annual IEEE Symposium on Foundations of Computer Science. IEEE, 2005. http://dx.doi.org/10.1109/sfcs.2005.5464411.

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Belabssir, S., N. Sahllal, and El M. Souidi. "Cyclic linear error-block codes." In 2ND INTERNATIONAL CONFERENCE ON APPLIED MATHEMATICS, ICAM’2018. Author(s), 2019. http://dx.doi.org/10.1063/1.5090622.

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Choi, Dongsub, Andreas Jahnke, Karl Schumacher, and Max Hoepfl. "Overlay improvement by non-linear error correction and non-linear error control by APC." In SPIE 31st International Symposium on Advanced Lithography, edited by Chas N. Archie. SPIE, 2006. http://dx.doi.org/10.1117/12.655157.

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Pittman, T. B., B. C. Jacobs, and J. D. Franson. "Quantum Error Correction using Linear Optics." In Laser Science. OSA, 2005. http://dx.doi.org/10.1364/ls.2005.lmb5.

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Chen, Bor Nang, and Yinyi Lin. "Hybrid Error Concealment Using Linear Interpolation." In 2006 International Symposium on Communications and Information Technologies. IEEE, 2006. http://dx.doi.org/10.1109/iscit.2006.339912.

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Gheryani, Mabruk, Y. Shayan, Z. Wu, and X. Wang. "Error Performance of Linear Dispersion Codes." In IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference. IEEE, 2008. http://dx.doi.org/10.1109/glocom.2008.ecp.774.

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Guang, Xuan, and Raymond W. Yeung. "Linear Network Error Correction Coding Revisited." In 2020 IEEE International Symposium on Information Theory (ISIT). IEEE, 2020. http://dx.doi.org/10.1109/isit44484.2020.9174493.

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Reports on the topic "Linear error"

1

Connors, J., J. Banks, J. Hittinger, and C. Woodward. Adjoint Error Estimation for Linear Advection. Office of Scientific and Technical Information (OSTI), 2011. http://dx.doi.org/10.2172/1022148.

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Mangasarian, O. L., and T. H. Shiau. Error Bounds for Monotone Linear Complementarity Problems. Defense Technical Information Center, 1985. http://dx.doi.org/10.21236/ada160975.

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Carroll, Raymond J. Covariance Analysis in Generalized Linear Measurement Error Models. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada197661.

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Stefanski, Leonard A., and Raymond J. Carroll. Conditional Scores and Optimal Scores for Generalized Linear Measurement-Error Models. Defense Technical Information Center, 1985. http://dx.doi.org/10.21236/ada168533.

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Larner, K., and J. K. Cohen. Migration error in transversely isotropic media with linear velocity variation in depth. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/7201810.

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Larner, K., and J. K. Cohen. Migration error in transversely isotropic media with linear velocity variation in depth. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/10184162.

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Moon, Hyungsik Roger, Nayoung Lee, and Martin Weidner. Analysis of interactive fixed effects dynamic linear panel regression with measurement error. Institute for Fiscal Studies, 2011. http://dx.doi.org/10.1920/wp.cem.2011.3711.

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Larner, K. Dip-moveout error in transversely isotropic media with linear velocity variation in depth. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/6951498.

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Larner, K. Dip-moveout error in transversely isotropic media with linear velocity variation in depth. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/10183875.

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Chernozhukov, Victor, Alexandre Belloni, and Abhishek Kaul. Confidence bands for coefficients in high dimensional linear models with error-in-variables. The IFS, 2017. http://dx.doi.org/10.1920/wp.cem.2017.2217.

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