Relevant bibliographies by topics / Probability of error

Contents

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

Academic literature on the topic 'Probability of error'

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

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Journal articles on the topic "Probability of error"

1

Noga, Krystyna M. "Error probability and error stream properties in channel with slow Rician fading." Journal of Telecommunications and Information Technology, no. 4 (December 30, 2003): 3–8. http://dx.doi.org/10.26636/jtit.2003.4.208.

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In a radio communication channel wave parameters fluctuate randomly. The signal envelope undergoes deep fades. When binary information is transmitted through such a channel, fading causes random variation of probabilities of error associated with the detection of individual elementary signals, which produces a clustering of errors. The paper presents an analytical description of the probability of bit error in the channel with very slow Rician fading and Gaussian noise for noncoherent and coherent detection. Digital systems employing error detection or error correction coding are generally bas
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Lao, D., and A. M. Haimovich. "Symbol-Error Probability and Bit-Error Probability for Optimum Combining With MPSK Modulation." IEEE Transactions on Communications 52, no. 8 (2004): 1276–81. http://dx.doi.org/10.1109/tcomm.2004.833040.

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IKEUCHI, Takashi, Terumoto KOMORI, Yoshihiko NOMURA, Hirokazu MATSUI, and Norihiko KATO. "Error Analysis Bayse' a Posteriori Probability Error Propagated from Data Error." Transactions of the Japan Society of Mechanical Engineers Series C 67, no. 656 (2001): 1092–98. http://dx.doi.org/10.1299/kikaic.67.1092.

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Pelc, Andrzej. "Searching with known error probability." Theoretical Computer Science 63, no. 2 (1989): 185–202. http://dx.doi.org/10.1016/0304-3975(89)90077-7.

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Nadarajah, Saralees, and Samuel Kotz. "Expressions for bit error probability." Wireless Communications and Mobile Computing 8, no. 7 (2008): 885–94. http://dx.doi.org/10.1002/wcm.535.

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Sudhanshu, Aggarwal*1 &. Swarg Deep Sharma2. "SADIK TRANSFORM OF ERROR FUNCTION (PROBABILITY INTEGRAL)." GLOBAL JOURNAL OF ENGINEERING SCIENCE AND RESEARCHES 6, no. 6 (2019): 125–35. https://doi.org/10.5281/zenodo.3250247.

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The solutions of many advanced engineering problems like Fick’s second law, heat and mass transfer problems, vibrating beams problems contains error and complementary error function. When we use any integral transform to solve these types of problems, it is very necessary to know the integral transform of error function. In this article, we find the Sadik transform of error and complementary error functions. To demonstrate the usefulness of Sadik transform of error function, some numerical applications are considered in application section for solving improper integrals which contain err
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Schiller, Frank, Dan Judd, Peerasan Supavatanakul, Tina Hardt, and Felix Wieczorek. "Enhancement of safety communication model." at - Automatisierungstechnik 70, no. 1 (2022): 38–52. http://dx.doi.org/10.1515/auto-2021-0098.

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Abstract A fundamental measure of safety communication is the residual error probability, i. e., the probability of undetected errors. For the detection of data errors, typically a Cyclic Redundancy Check (CRC) is applied, and the resulting residual error probability is determined based on the Binary Symmetric Channel (BSC) model. The use of this model had been questioned since several error types cannot be sufficiently described. Especially the increasing introduction of security algorithms into underlying communication layers requires a more adequate channel model. This paper introduces an e
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IKEUCHI, Takashi, Terumoto KOMORI, Yoshihiko NOMURA, Hirokazu MATSUI, and Norihiko KATO. "Error Analysis on Bayse' a posteriori probability error propagated from data error." Proceedings of the JSME annual meeting 2000.1 (2000): 243–44. http://dx.doi.org/10.1299/jsmemecjo.2000.1.0_243.

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Cheng, Qiang, Can Wu, Peihua Gu, Wenfen Chang, and Dongsheng Xuan. "An Analysis Methodology for Stochastic Characteristic of Volumetric Error in Multiaxis CNC Machine Tool." Mathematical Problems in Engineering 2013 (2013): 1–12. http://dx.doi.org/10.1155/2013/863283.

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Traditional approaches about error modeling and analysis of machine tool few consider the probability characteristics of the geometric error and volumetric error systematically. However, the individual geometric error measured at different points is variational and stochastic, and therefore the resultant volumetric error is aslo stochastic and uncertain. In order to address the stochastic characteristic of the volumetric error for multiaxis machine tool, a new probability analysis mathematical model of volumetric error is proposed in this paper. According to multibody system theory, a mean val
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Aguirre, Alejandro, Philipp G. Haselwarter, Markus de Medeiros, et al. "Error Credits: Resourceful Reasoning about Error Bounds for Higher-Order Probabilistic Programs." Proceedings of the ACM on Programming Languages 8, ICFP (2024): 284–316. http://dx.doi.org/10.1145/3674635.

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Probabilistic programs often trade accuracy for efficiency, and thus may, with a small probability, return an incorrect result. It is important to obtain precise bounds for the probability of these errors, but existing verification approaches have limitations that lead to error probability bounds that are excessively coarse, or only apply to first-order programs. In this paper we present Eris, a higher-order separation logic for proving error probability bounds for probabilistic programs written in an expressive higher-order language. Our key novelty is the introduction of error credits, a sep
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Dissertations / Theses on the topic "Probability of error"

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Nakiboḡlu, Bariş. "Exponential bounds on error probability with Feedback." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/64485.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2011.<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. 95-97).<br>Feedback is useful in memoryless channels for decreasing complexity and increasing reliability; the capacity of the memoryless channels, however, can not be increased by feedback. For fixed length block codes even the dec
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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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Yeh, Chen-Chu Alex. "Minimum-error-probability equalization and multi-user detection." Diss., Georgia Institute of Technology, 1998. http://hdl.handle.net/1853/12994.

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Law, Eugene. "Effect of Group Delay Variations on Bit Error Probability." International Foundation for Telemetering, 1993. http://hdl.handle.net/10150/611879.

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International Telemetering Conference Proceedings / October 25-28, 1993 / Riviera Hotel and Convention Center, Las Vegas, Nevada<br>Group delay variations are a potential problem in many communication systems. This paper is slanted towards the effects of group delay variations in analog magnetic recorder/reproducer systems but the results are applicable in general. Because it is difficult to get an arbitrary group delay profile at the output of a recorder/reproducer, a method of generating arbitrary group delays for bit error probability (BEP) testing was developed. A 32-bit pattern in which a
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Mendling, Jan, Laura Sanchez-Gonzalez, Felix Garcia, and Rosa Marcello La. "Thresholds for Error Probability Measures of Business Process Models." Elsevier, 2012. http://epub.wu.ac.at/3498/1/JSS12%2DMetrics.pdf.

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The quality of conceptual business process models is highly relevant for the design of corresponding information systems. In particular, a precise measurement of model characteristics can be beneficial from a business perspective, helping to save costs thanks to early error detection. This is just as true from a software engineering point of view. In this latter case, models facilitate stakeholder communication and software system design. Research has investigated several proposals as regards measures for business process models, from a rather correlational perspective. This is helpful for u
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Dalile, Boushra. "Is the High Probability of Type II Error an Issue in Error Awareness ERP Studies?" Thesis, Högskolan i Skövde, Institutionen för biovetenskap, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-12628.

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When researchers began addressing the electrophysiology of conscious error awareness more than a decade ago, the role of the error-related negativity (ERN), alongside the subsequently occurring error positivity (Pe), was an obvious locus of attention given the fact that they are taken as indices of cortical error processing. In contrast to the clear-cut findings that link the amplitude of the Pe to error awareness, the association between the ERN amplitude and error awareness is vastly unclear, with a range of studies reporting significant differences in the ERN amplitude with respect to error
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Lai, Pik-ying, and 黎碧瑩. "Lp regression under general error distributions." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2004. http://hub.hku.hk/bib/B30287844.

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Wahid, Amna Abdul. "Evaluating error when estimating the loss probability in a packet buffer." Thesis, Queen Mary, University of London, 2016. http://qmro.qmul.ac.uk/xmlui/handle/123456789/23785.

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In this thesis we explore precision in measurement of buffer overflow and loss probability. We see how buffer overflow probability compares with queuing delay measurements covered in the literature. More specifically, we measure the overflow probability of a packet buffer for various sampling rates to see the effect of sampling rate on the estimation. There are various reasons for measurement in networks; one key context assumed here is Measurement Based Admission Control. We conduct simulation experiments with analytically derived VoIP and bursty traffic parameters, in Matlab, while treating
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Law, Eugene L. "Binary PCM/FM Tradeoffs Between Spectral Occupancy and Bit Error Probability." International Foundation for Telemetering, 1994. http://hdl.handle.net/10150/611661.

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International Telemetering Conference Proceedings / October 17-20, 1994 / Town & Country Hotel and Conference Center, San Diego, California<br>The bit rates of telemetry systems are increasing rapidly. Higher bit rates occupy more spectra and result in decreased link margin. The major signal parameters that affect the spectral occupancy and bit error probability (BEP) of binary pulse code modulation (PCM)/frequency modulation (FM) signals are the bit rate, code, premodulation filter, and peak deviation. The measured spectral occupancy is also affected by the spectrum analyzer (or other measure
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Grimit, Eric P. "Probabilistic mesoscale forecast error prediction using short-range ensembles /." Thesis, Connect to this title online; UW restricted, 2004. http://hdl.handle.net/1773/10064.

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Books on the topic "Probability of error"

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Gibson, W. Huw. The implementation of CORE-DATA, a computerised human error probability database. HSE Books, 1999.

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Kotulski, Zbigniew. Error analysis with applications in engineering. Springer, 2010.

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Swank, Julie L. DNA vs. fingerprints: The probability of error when identifying a source from DNA or fingerprints. National University, 2018.

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Seidelson, Craig, and Hari Rajagopalan. Reliability and Maintainability: Problem-Solving With Probability When a Manufacturing Error Creates Defective Computer Chips. SAGE Publications, Inc., 2024. http://dx.doi.org/10.4135/9781071974544.

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Spray, Judith A. The effect of item parameter estimation error on decisions made using the sequential probability ratio test. American College Testing Program, 1988.

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Simon, M. Steady-state probability density function of the phase error for a DPLL with an integrate-and-dump device. National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology, 1986.

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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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J, Mileant, and Jet Propulsion Laboratory (U.S.), eds. Steady-state probability density function of the phase error for a DPLL with an integrate-and-dump device. National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology, 1986.

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United States. National Aeronautics and Space Administration., ed. Error control techniques for satellite and space communications: Annual status report. Dept. of Electrical Engineering, University of Notre Dame, 1995.

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United States. National Aeronautics and Space Administration., ed. Error control techniques for satellite and space communications: Semi-annual status reports. Dept. of Electrical Engineering, University of Notre Dame, 1991.

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Book chapters on the topic "Probability of error"

1

Weik, Martin H. "error probability." In Computer Science and Communications Dictionary. Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_6428.

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Agterberg, Frits. "Circular Error Probability." In Encyclopedia of Mathematical Geosciences. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-030-85040-1_58.

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Weik, Martin H. "block error probability." In Computer Science and Communications Dictionary. Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_1694.

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Agterberg, Frits. "Circular Error Probability." In Encyclopedia of Mathematical Geosciences. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-26050-7_58-1.

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Cerf, Raphaël, and Joseba Dalmau. "Error Threshold." In Probability Theory and Stochastic Modelling. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08663-2_22.

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Beebe, Nelson H. F. "Error and probability functions." In The Mathematical-Function Computation Handbook. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64110-2_19.

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Eggermont, P. P. B., and V. N. LaRiccia. "Uniform error bounds for smoothing splines." In High Dimensional Probability. Institute of Mathematical Statistics, 2006. http://dx.doi.org/10.1214/074921706000000879.

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Heijungs, Reinout. "Error and Quality." In Probability, Statistics and Life Cycle Assessment. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-49317-1_7.

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Cerf, Raphaël, and Joseba Dalmau. "Error Threshold and Quasispecies." In Probability Theory and Stochastic Modelling. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08663-2_7.

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Zhiyong, Zheng, and Tian Kun. "On the LWE Cryptosystem with More General Disturbance." In Financial Mathematics and Fintech. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-2366-3_8.

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AbstractThe main purpose of this chapter is to give an extension on learning with errors problem (LWE)-based cryptosystem about the probability of decryption error with more general disturbance. In the first section, we introduce the LWE cryptosystem with its application and some previous research results. Then we give a more precise estimation probability of decryption error based on independent identical Gaussian disturbances and any general independent identical disturbances. This upper bound probability could be closed to 0 if we choose applicable parameters. It means that the probability
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Conference papers on the topic "Probability of error"

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Liu, Gaohe, Guoliang Liu, Shihong Ma, Xiangyue Meng, Yuchen Zhang, and Qiong Liu. "Error Probability Minimization for Short-Packet Backscatter Communications." In 2024 10th International Conference on Computer and Communications (ICCC). IEEE, 2024. https://doi.org/10.1109/iccc62609.2024.10941729.

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Perović, Nemanja Stefan. "On the Bit Error Probability of DMA-Based Systems." In 2024 32nd Telecommunications Forum (TELFOR). IEEE, 2024. https://doi.org/10.1109/telfor63250.2024.10818992.

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Siu-Wai Ho and Sergio Verdu. "Conditional entropy and error probability." In 2008 IEEE International Symposium on Information Theory - ISIT. IEEE, 2008. http://dx.doi.org/10.1109/isit.2008.4595262.

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Gadouleau, Maximilien, and Zhiyuan Yan. "Decoder Error Probability of MRD Codes." In 2006 IEEE Information Theory Workshop - ITW '06 Chengdu. IEEE, 2006. http://dx.doi.org/10.1109/itw2.2006.323800.

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Lihua Liu and Zhengjun Cao. "Private matching protocols without error probability." In 2011 IEEE International Conference on Computer Science and Automation Engineering (CSAE). IEEE, 2011. http://dx.doi.org/10.1109/csae.2011.5952869.

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Jeong, Youngmin, Hyundong Shin, and Moe Z. Win. "H-transforms for symbol error probability." In 2015 European Conference on Networks and Communications (EuCNC). IEEE, 2015. http://dx.doi.org/10.1109/eucnc.2015.7194035.

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Altug, Yucel, Aaron B. Wagner, and Ioannis Kontoyiannis. "Lossless compression with moderate error probability." In 2013 IEEE International Symposium on Information Theory (ISIT). IEEE, 2013. http://dx.doi.org/10.1109/isit.2013.6620526.

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Klimentyev, Vyacheslav P., and Alexander B. Sergienko. "Error probability bounds for SCMA signals." In 2017 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus). IEEE, 2017. http://dx.doi.org/10.1109/eiconrus.2017.7910519.

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Silva, Jorge, and Shrikanth Narayanan. "Minimum Probability of Error Signal Representation." In 2007 IEEE Workshop on Machine Learning for Signal Processing. IEEE, 2007. http://dx.doi.org/10.1109/mlsp.2007.4414331.

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Nyman, Peter, Luigi Accardi, Guillaume Adenier, et al. "A Compact Code for Simulations of Quantum Error Correction in Classical Computers." In FOUNDATIONS OF PROBABILITY AND PHYSICS—5. AIP, 2009. http://dx.doi.org/10.1063/1.3109961.

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Reports on the topic "Probability of error"

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Nelson, William. Use of Circular Error Probability in Target Detection. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada199190.

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Bai, Z. D. Exponential Bound for Error Probability in NN-Discrimination. Defense Technical Information Center, 1985. http://dx.doi.org/10.21236/ada160305.

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Tirapat, Sunti. An investigation of default probability in Thailand. Chulalongkorn University, 2001. https://doi.org/10.58837/chula.res.2001.21.

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Using the sample of 100 most liquid companies listed in the Stock Exchange of Thailand during 1992-1999, the default probabilities from two approaches, the logit model and the KMV model, are calculated and compared. The results from the KMV model suggest that the default probabilities of financial institutions are higher than the probabilities of industrial companies. Moreover, the results from the KMV model confirm that the average default probabilities of the financial distressed firms in the 1997 financial crisis are higher than the average default probabilities of non-distressed firms. Com
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Tarr, J. A., J. E. Wieselthier, and A. Ephremides. Packet-Error Probability Analysis for Unslotted FH-CDMA (Frequency Hopped-Code-Division Multiple-Access) Systems with Error Control Coding. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada207964.

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Morris, J. MaRV (maneuverable reentry vehicles) PoP (probability of penetration) vs CEP (circular error probability) analysis concept study (MaRV Penetration Study Project). Office of Scientific and Technical Information (OSTI), 1986. http://dx.doi.org/10.2172/6423110.

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Viterbi, Andrew J., Jack K. Wolf, Lyle J. Fredrickson, Jeff A. Levin, and Robert D. Blakeney. Research in Mathematics and Computer Science: Calculation of the Probability of Undetected Error for Certain Error Detection Codes. Phase 2. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada238234.

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Gluck, J. W., and E. Geranlotis. Throughput and Packet Error Probability of Cellular Frequency-Hopped Spread-Spectrum Radio Networks. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada454594.

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Tosi, R., R. Codina, J. Principe, R. Rossi, and C. Soriano. D3.3 Report of ensemble based parallelism for turbulent flows and release of solvers. Scipedia, 2022. http://dx.doi.org/10.23967/exaqute.2022.3.06.

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In this work we focus on reducing the wall clock time required to compute statistical estimators of highly chaotic incompressible flows on high performance computing systems. Our approach consists of replacing a single long-term simulation by an ensemble of multiple independent realizations, which are run in parallel with different initial conditions. A failure probability convergence criteria must be satisfied by the statistical estimator of interest to assess convergence. Its error analysis leads to the identification of two error contributions: the initialization bias and the statistical er
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Varshney, Pramod K., and Wael Hashlamoun. ALGORITHMS FOR SENSOR FUSION: Applications of Distance Measures and Probability of Error Bounds to Distributed. Detection Systems. Volume 2. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada254634.

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Reece, W. J., B. G. Gilbert, and R. E. Richards. Nuclear Computerized Library for Assessing Reactor Reliability (NUCLARR): Data manual. Part 2: Human error probability (HEP) data; Volume 5, Revision 4. Office of Scientific and Technical Information (OSTI), 1994. http://dx.doi.org/10.2172/10188390.

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