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1

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

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2

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

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3

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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4

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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5

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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6

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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7

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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8

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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9

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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10

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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11

United States. National Aeronautics and Space Administration., ed. Error control techniques for satellite and space communications: June 1, 1985-May 31, 1987 : annual status report. Dept. of Electrical Engineering, University of Notre Dame, 1987.

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12

P, Biemer Paul, and International Conference on Measurement Errors in Surveys (1990 : Tucson, Ariz.), eds. Measurement errors in surveys. Wiley, 1991.

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13

Taupin, Daniel. Probabilities, data reduction and error analysis in the physical sciences. Editions de physique, 1988.

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14

Schneider, Jörg, and Ton Vrouwenvelder. Introduction to safety and reliability of structures. 3rd ed. International Association for Bridge and Structural Engineering (IABSE), 1997. http://dx.doi.org/10.2749/sed005.

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<p>Society expects that buildings and other structures are safe for the people who use them or who are near them. The failure of a building or structure is expected to be an extremely rare event. Thus, society implicitly relies on the expertise of the professionals involved in the planning, design, construction, operation and maintenance of the structures it uses.<p>Structural engineers devote all their effort to meeting society’s expectations effi ciently. Engineers and scientists work together to develop solutions to structural problems. Given that nothing is absolutely and etern
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15

service), SpringerLink (Online, ed. I capricci del caso: Introduzione alla statistica, al calcolo delle probabilità e alla teoria degli errori. Springer-Verlag Milan, 2009.

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16

Phan, Minh Q. Stochastic prediction of vibration levels in the presence of modeling uncertainties: Final report, NASA grant NAG1-1698. Princeton University, Dept. of Mechanical and Aerospace Engineering, 1997.

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17

Kryuchatov, Vladimir. Designing thin-film integrated circuits with increased reliability. INFRA-M Academic Publishing LLC., 2025. https://doi.org/10.12737/2155769.

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The textbook discusses the problems and ways to improve the reliability and yield of thin-film integrated circuit (IC) boards with resistive elements. Modern technologies of thin-film integrated circuits with resistive elements, including ultrahigh-frequency integrated circuits (UHF ICS), with increased reliability, are proposed. The principles and new methods of designing thin-film resistors based on them are described using the basic principles of probability theory, which take into account manufacturing errors in the design and technological parameters of resistors that occur during their m
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18

1934-, Epstein Menachem, ed. Common diagnostic procedures: Orthopedics and neurology. Matthew Bender, 1992.

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19

Lemeshko, Boris, Aleksandr Popov, and Vadim Seleznev. Criteria for checking the deviation of the distribution from the normal law. Application Guide. INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1896110.

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The monograph discusses the application of statistical criteria aimed at testing the hypothesis that the analyzed data belongs to the normal law of probability distribution. Special criteria, nonparametric criteria of agreement and criteria of type χ2 are considered and compared. The disadvantages and advantages of various criteria are indicated. Tables containing percentage points and statistical distribution models necessary for the correct application of criteria are given.
 In comparison with the first edition, the set of considered special criteria of normality has been significantly
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20

Hopkins, Marsh. Chance and Error. Taylor & Francis Group, 2019.

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21

Hopkins, Marsh. Chance and Error. Taylor & Francis Group, 2021.

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22

Integrals Related to the Error Function. Taylor & Francis Group, 2020.

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23

Korotkov, Nikolai E., and Alexander N. Korotkov. Integrals Related to the Error Function. Taylor & Francis Group, 2020.

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24

Integrals Related to the Error Function. Taylor & Francis Group, 2020.

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25

Chance and Error: The Theory of Evolution. Taylor & Francis Group, 2019.

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26

Probability and theory of errors. 4th ed. J. Wiley & Son, 1992.

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27

Minimum Probability of Error Image Retrieval. now publishers Inc, 2012.

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28

Osterlind, Steven J. The Error of Truth. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198831600.001.0001.

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The Error of Truth recounts the astonishing and unexpected tale of how quantitative thinking was invented and rose to primacy in our lives in the nineteenth and early twentieth centuries, bringing us to an entirely new perspective on what we know about the world and how we know it—even on what we each think about ourselves. Quantitative thinking is our inclination to view natural and everyday phenomena through a lens of measurable events, with forecasts, odds, predictions, and likelihood playing a dominant part. This worldview, or Weltanschauung, is unlike anything humankind had before, and it
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29

executive, Health and safety. The Implementation of Core Data, a Computerised Human Error Probability Database. Health and Safety Executive (HSE), 1999.

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30

Gustafson, Paul, Aurore Delaigle, and Grace Y. Yi. Handbook of Measurement Error Models. Taylor & Francis Group, 2021.

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31

Handbook of Measurement Error Models. Taylor & Francis Group, 2021.

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32

Gustafson, Paul, Aurore Delaigle, and Grace Y. Yi. Handbook of Measurement Error Models. Taylor & Francis Group, 2021.

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33

Gustafson, Paul, Aurore Delaigle, and Grace Y. Yi. Handbook of Measurement Error Models. Taylor & Francis Group, 2021.

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34

Gustafson, Paul, Aurore Delaigle, and Grace Y. Yi. Handbook of Measurement Error Models. Taylor & Francis Group, 2021.

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35

Handbook of Measurement Error Models. CRC Press LLC, 2024.

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36

Kreuter, Frauke, Kristen Olson, Jennifer Dykema, Allyson L. Holbrook, and Jolene D. Smyth. Interviewer Effects from a Total Survey Error Perspective. Taylor & Francis Group, 2020.

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37

Kreuter, Frauke, Kristen Olson, Jolene Smyth, Jennifer Dykema, and Allyson L. Holbrook. Interviewer Effects from a Total Survey Error Perspective. Taylor & Francis Group, 2020.

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38

Olson, Kristen. Interviewer Effects from a Total Survey Error Perspective. Taylor & Francis Group, 2021.

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39

Kreuter, Frauke, Kristen Olson, Jolene Smyth, Jennifer Dykema, and Allyson L. Holbrook. Interviewer Effects from a Total Survey Error Perspective. Taylor & Francis Group, 2020.

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40

Interviewer Effects from a Total Survey Error Perspective. Taylor & Francis Group, 2020.

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41

Kaloyerou, Panayiotis Nicos. Basic Concepts of Data and Error Analysis: With Introductions to Probability and Statistics and to Computer Methods. Springer, 2018.

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42

Kotulski, Zbigniew, Wojciech Szczepinski, and Springer Staff. Error Analysis with Applications in Engineering. Springer Netherlands, 2012.

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43

Good, Phillip I. The A-Z of error-free research. 2013.

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44

Gierlinski, Marek. Understanding Statistical Error: A Primer for Biologists. Wiley & Sons, Incorporated, John, 2015.

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45

Gierlinski, Marek. Understanding Statistical Error: A Primer for Biologists. Wiley & Sons, Incorporated, John, 2015.

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46

Gierlinski, Marek. Understanding Statistical Error: A Primer for Biologists. Wiley & Sons, Incorporated, John, 2015.

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47

Gierlinski, Marek. Understanding Statistical Error: A Primer for Biologists. Wiley & Sons, Incorporated, John, 2016.

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48

Error analysis for biologists: Statistics you can understand. John Wiley & Sons Inc., 2016.

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49

Birke, Hanna. Model-Based Recursive Partitioning with Adjustment for Measurement Error: Applied to the Cox’s Proportional Hazards and Weibull Model. Springer Spektrum, 2015.

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50

Birke, Hanna. Model-Based Recursive Partitioning with Adjustment for Measurement Error: Applied to the Cox's Proportional Hazards and Weibull Model. Springer Vieweg. in Springer Fachmedien Wiesbaden GmbH, 2015.

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