Journal articles on the topic 'Reliability'

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1

Frise, Matthew. "The reliability problem for reliabilism." Philosophical Studies 175, no. 4 (March 28, 2017): 923–45. http://dx.doi.org/10.1007/s11098-017-0899-0.

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2

Adams, Frederick, and David Kline. "NOMIC RELIABILISM: WEAK RELIABILITY IS NOT ENOUGH." Southern Journal of Philosophy 25, no. 4 (December 1987): 433–43. http://dx.doi.org/10.1111/j.2041-6962.1987.tb01634.x.

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3

Tantri, B. Roopashri, and N. N. Murulidhar. "An Efficient Estimator of Reliability for Exponential Class Software Reliability Models." Lecture Notes on Software Engineering 2, no. 3 (2014): 201–4. http://dx.doi.org/10.7763/lnse.2014.v2.123.

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4

SUZUKI, Kazuyuki. "Reliability and Reliability Management." Journal of The Surface Finishing Society of Japan 70, no. 6 (June 1, 2019): 290–96. http://dx.doi.org/10.4139/sfj.70.290.

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5

Kazhakov, Stefan. "RELIABILITY TECHNIQUES FOR RFID." Journal Scientific and Applied Research 12, no. 1 (November 14, 2017): 27–39. http://dx.doi.org/10.46687/jsar.v12i1.224.

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Radio Frequency Identification (RFID) technology has the potential to dramatically improve numerous industrial practices. However, it still faces many challenges, including security and reliability, which may limit its use in many application scenarios. While security has received considerable attention, reliability has escaped much of the research scrutiny. Radio Frequency Identification (RFID) technology is growing rapidly across many different industries. Developers apply the technology not only in traditional applications such as asset or inventory tracking, but also in security services such as electronic passports and RFID-embedded credit cards. However, RFID technology also raises a number of concerns regarding privacy and security.
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6

Sariyatno, Bintang, and Slamet Suyanto. "Instrumen lembar observasi pengukuran ketercapaian KKNI level 6 pada pengajaran mikro pendidikan biologi." Measurement In Educational Research (Meter) 1, no. 1 (May 1, 2021): 12. http://dx.doi.org/10.33292/meter.v1i1.107.

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Penelitian pengembangan Instrumen lembar observasi ini bertujuan untuk mengembangkan instrumen lembar observasi pengukuran pengajaran mikro pada program studi pendidikan biologi yang valid dan reliabel, sehingga diperoleh gambaran ketercapaian KKNI level 6. Motode penelitian yang digunakan adalah metode penelitian dan pengembangan (research and development). Validitas isi pada penelitian ini telah memiliki kesesuaian konteks aitem dengan tujuan pengukuran dan aitem-aitem instrumen lembar observasi telah merepresentasikan ciri-ciri atribut yang diukur. Instrumen pengukuran pengajaran mikro ini terdiri atas 4 deskriptor spesifik KKNI level 6; 11 learning outcome, 27 indikator utama, dan 74 aitem.Koefisien reliabilitas instrumen ini berturut-turut, yaitu deskriptor spesifik pertama memiliki koefisien reliabilitas 0,986 yang termasuk reliabilitas tinggi, deskriptor spesifik ke dua memiliki koefisien reliabilitas 0,984 yang termasuk relibilitas tinggi, deskriptor spesifik ke tiga memiliki koefisien reliabilitas 0,841 yang termasuk reliabilitas tinggi, dan deskriptor spesifik ke empat memiliki koefisien reliabilitas 0,964 yang termasuk reliabilitas tinggi. Measuring observation form instruments for level 6 of KKNI achievement on microteaching biology education AbstractThis study aims to find out the content validity and the reliability of observation form instrument to measure the achievement of micro of level 6 KKNI in Biology Education courses.This research is the Research and Development (R & D). The results of the study show that the validity of the content in this study have suitability context items with the purpose of measuring instrument and items instrument observation sheet has represented the characteristics of attributes measured. Observation form of microteaching instrument consists of 4 specific descriptors of KKNI level 6; 11 learning outcomes, 27 main indicators, and 74 items. Instrument reliability of the instrument observation sheet microteaching for each descriptors specific, among other: descriptors specific first coefficient reliability of 0.986 which suggests the reliability is exeellent descriptors specific. The second has a coefficient of reliability 0.984 which suggests the reliability is excellent descriptors specific. The third has a coefficient of reliability 0.841 which suggests reliability excellent descriptors specific. The fourth has a coefficient of reliability 0.964 which suggests reliability is excellent.
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7

Taylor, John M. "Reliability." Journal of Nursing Education 60, no. 2 (February 2021): 65–66. http://dx.doi.org/10.3928/01484834-20210120-02.

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8

Jackson, A. S., G. Atkinson, and W. G. Hopkins. "RELIABILITY." Medicine & Science in Sports & Exercise 33, no. 5 (May 2001): S173. http://dx.doi.org/10.1097/00005768-200105001-00983.

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9

Flowers, Kenneth R. "Reliability." Journal of Hand Therapy 14, no. 1 (January 2001): 1. http://dx.doi.org/10.1016/s0894-1130(01)80017-x.

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Keller-McNulty, Sallie, Alyson Wilson, and Christine Anderson-Cook. "Reliability." Statistical Science 21, no. 4 (November 2006): 427. http://dx.doi.org/10.1214/088342306000000664.

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11

Bolton, G., C. Woods, M. Cushine, T. Heller, C. Helman, and S. Jenkinson. "Reliability." Medical Humanities 29, no. 1 (June 1, 2003): 49–52. http://dx.doi.org/10.1136/mh.29.1.49.

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12

THORNDIKE, ROBERT. "Reliability." Journal of Counseling & Development 63, no. 8 (April 1985): 527–30. http://dx.doi.org/10.1002/j.1556-6676.1985.tb02754.x.

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13

Bröcker, Jochen, and Leonard A. Smith. "Increasing the Reliability of Reliability Diagrams." Weather and Forecasting 22, no. 3 (June 1, 2007): 651–61. http://dx.doi.org/10.1175/waf993.1.

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Abstract The reliability diagram is a common diagnostic graph used to summarize and evaluate probabilistic forecasts. Its strengths lie in the ease with which it is produced and the transparency of its definition. While visually appealing, major long-noted shortcomings lie in the difficulty of interpreting the graph visually; for the most part, ambiguities arise from variations in the distributions of forecast probabilities and from various binning procedures. A resampling method for assigning consistency bars to the observed frequencies is introduced that allows for immediate visual evaluation as to just how likely the observed relative frequencies are under the assumption that the predicted probabilities are reliable. Further, an alternative presentation of the same information on probability paper eases quantitative evaluation and comparison. Both presentations can easily be employed for any method of binning.
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14

Mislevy, Robert J. "Can There Be Reliability without “Reliability?”." Journal of Educational and Behavioral Statistics 29, no. 2 (June 2004): 241–44. http://dx.doi.org/10.3102/10769986029002241.

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15

Meutia, Rahmi, and Puti Andiny. "PENGARUH KUALITAS PELAYANAN DAN LOKASI TERHADAP KEPUASAN PASIEN PUSKESMAS LANGSA LAMA." NIAGAWAN 8, no. 2 (July 31, 2019): 121. http://dx.doi.org/10.24114/niaga.v8i2.14261.

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Penelitian ini dilakukan bertujuan untuk mengetahui pengaruh kualitas pelayanan yang terdiri dari bukti fisik (tangible), reliabilitas (reliability), daya tanggap (responsiveness), jaminan (assurance), dan empati (empaty) serta lokasi terhadap kepuasan pasien di Puskesmas Langsa Lama. Penelitian menggunakan sampel sebanyak 96 responden. Metode analisis data menggunakan persamaanregresi linier berganda, uji hipotesis (uji t dan uji F) serta koefisien determinasi (R2). Hasil penelitian diperoleh Y = 1,017 + 0,182X1 + 0,224X2+ 0,019X3 + 0,172X4+ 0,186X5+ 0,125X6. Konstanta sebesar 1,017 adalah kepuasan pasien sebelum dipengaruhi oleh kualitas pelayanan yang terdiri dari bukti fisik (tangible), reliabilitas (reliability), daya tanggap (responsiveness), jaminan (assurance), dan empati (empaty) serta lokasi. Kemudian koefisien bukti fisik (tangible), reliabilitas (reliability), daya tanggap (responsiveness), jaminan (assurance), dan empati (empaty) serta lokasi memberikan pengaruh positif terhadap kepuasan pasien. Hasil uji t variabel bukti fisik (tangible), jaminan (assurance) dan empati (emphaty) dapat dinyatakan berpengaruh signifikan terhadap kepuasan pasien. Sedangkan variabel reliabilitas (reliability), dayatanggap (responsiveness) dan lokasi secara parsial berpengaruh tidak signifikan terhadap kepuasan pasien. Hasil uji F diperoleh bukti fisik (tangible), reliabilitas (reliability), daya tanggap (responsiveness), jaminan (assurance), dan empati (empaty) serta lokasi secara simultan berpengaruh signifikan terhadap kepuasan pasien di Puskesmas Langsa Lama. Hasil uji koefisien determinasi (R2) sebesar 62,6% variabel bukti fisik (tangible), reliabilitas (reliability), daya tanggap (responsiveness), jaminan (assurance), dan empati (empaty) serta lokasi mempengaruhi kepuasan pasien di Puskesmas Langsa Lama. Sisanya sebesar 37,4% dipengaruhi oleh variabel lain yang tidak diteliti. Keywords: kualitas layanan, lokasi, kepuasan
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16

TRIPŞA, Florența-Violeta, and Ana-Maria LUCA (RȊTEA). "STOCHASTIC APPROXIMATION FOR RELIABILITY PROBLEMS." SCIENTIFIC RESEARCH AND EDUCATION IN THE AIR FORCE 18, no. 1 (June 24, 2016): 497–500. http://dx.doi.org/10.19062/2247-3173.2016.18.1.68.

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17

Sheakh, Taraq Hussain. "Component Reliability- A New Approach." International Journal of Scientific Research 3, no. 1 (June 1, 2012): 143–44. http://dx.doi.org/10.15373/22778179/jan2014/46.

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18

Pustina, Jaroslav, Libuše Máchová, Barbora Daňková, and Tomáš Sedloň. "Psychometrické charakteristiky revidovaného Dotazníku zvládání zátěže." TESTFÓRUM 5, no. 8 (October 24, 2016): 6–18. http://dx.doi.org/10.5817/tf2016-8-126.

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Dotazník zvládání zátěže (DZZ) je sebeposuzovací inventář vyvíjený společností T&CC online s.r.o. Cílem práce bylo ověřit vybrané psychometrické charakteristiky revidované verze inventáře. Byla provedena položková analýza a za pomocí Cronbachova alfa a koeficientu Omega byla odhadnuta reliabilita metody. Výsledky naznačují, že inventář má potenciál stát se kvalitní metodou pro měření využívání různých copingových strategií, ale vzhledem k nízké reliabilitě některých jeho škál je třeba jej ještě upravit. Dalším krokem je nahrazení nevyhovujících položek a nový pilotní průzkum.Stress Management Questionnaire is a self-rating inventory developed by the T&CC online company. The aim of the study was to evaluate selected psychometric characteristics of the revised edition of the inventory. An item analysis was conducted along with a reliability analysis using Cronbach’s alpha and Omega coefficient of reliability. The results suggest that the inventory has a potential to become a fine method for measurement of various coping strategies people employ. Yet there is a need for further development of the method due to the low reliability of some of its scales. The next steps will primarily involve replacing unsatisfactory items and conducting a new pilot study.
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19

Indrayana, Sofyan, and Su-Ying Fang. "Validitas dan Reliabilitas The Brief Illness Perception Questionnaire versi Bahasa Indonesia pada Pasien Diabetes Mellitus." DINAMIKA KESEHATAN JURNAL KEBIDANAN DAN KEPERAWATAN 10, no. 1 (January 2, 2020): 361–68. http://dx.doi.org/10.33859/dksm.v10i1.397.

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Latar Belakang: Persepsi penyakit adalah konsep dasar dari model akal sehat regulasi kesehatan dan perawatan diri. Persepsi penyakit merupakan salah satu prediktor dari perilaku kesehatan penderita penyakit kronis. The Brief Illness Perception Questionnaire (B-IPQ) adalah salah satu instrumen yang sering digunakan untuk mengukur persepsi penyakit di Indonesia. Namun, informasi tentang validitas dan reliabilitas B-IPQ versi Bahasa Indonesia pada populasi diabetes mellitus (DM) masih belum jelas.Tujuan: Tujuan dari penelitian ini adalah untuk mengukur validitas dan reliabilitas B-IPQ versi Bahasa Indonesia pada populasi diabetes mellitus.Metode: Validitas diukur dengan menggunakan indeks validitas isi (CVI) yang dinilai oleh satu dokter spesialis penyakit dalam dan satu perawat. Reliabilitas tes-retest dilakukan pada 10 orang penderita DM dalam waktu dua minggu. Reliabilitas alpha Cronbach dilakukan pada 200 orang penderita DM.Hasil: CVI dari B-IPQ versi Bahasa Indonesia adalah 1. Sementara itu, hasil reliabilitas test-retest adalah r = 0,83 sampai dengan 1 dan reliabilitas alpha Cronbach adalah 0,74.Simpulan: Versi Bahasa Indonesia dari B-IPQ disimpulkan valid dan memiliki reliabilitas yang baik pada reliabilitas tes-retest maupun reliabilitas alpha Cronbach. Kata kunci: validitas, reliabilitas, B-IPQ, illness perception.Background: Illness perception is the central concept of the common-sense model of health and illness self-regulatory. Illness perception has been found as one of the predictors of health behavior among people with chronic diseases. The Brief Illness Perception Questionnaire (B-IPQ) is one of instruments that used to measure illness perception in Indonesia. However, information about the validity and reliability of Bahasa Indonesia version of the B-IPQ for diabetes population is still unclear.Objective: The purpose of this study was to measure the validity and the reliability of the B-IPQ Bahasa Indonesia version in diabetes mellitus (DM) population.Methods: The validity was measured by using the content validity index (CVI) which rated by one internist physician and one nurse. Test-retest reliability was performed on 10 people with DM within two weeks. The Cronbach’s alpha reliability performed on 200 people with DM.Result: The CVI of the Bahasa Indonesia version of B-IPQ was 1. Meanwhile, the test-retest was r = 0.83 to 1 and the Cronbach’s alpha reliability was 0.74.Conclusion: The Bahasa Indonesia version of B-IPQ was valid and considered have good reliability either for test-retest reliability or Cronbach’s alpha reliability.Key Words: validity, reliability, B-IPQ, illness Perception.
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20

Li, Tao, Wen Geng Pan, Li Chen, and Xiao Xiao Ma. "Analysis of Support Reliability of Missile System Based on Neural Network." Advanced Materials Research 591-593 (November 2012): 741–44. http://dx.doi.org/10.4028/www.scientific.net/amr.591-593.741.

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Support reliability of missile weaponry is very important for its fighting capacity’s forming. The missile support process was first studied. Then based on the analysis of influence factors of human reliability, neural network structure of missile support reliability was presented with the aid of neural network’s theory and methods. With case study, the relation between human reliability’s influence factors and support reliability. It can provide management information and technology plan for evaluating support personal reliability, personal selecting and training.
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21

Al-Bahrani, L. T., W. Saaed, and M. Al-Kaabi. "Generation Reliability Enhancement based on Reliability Indices." Journal of Physics: Conference Series 1844, no. 1 (March 1, 2021): 012010. http://dx.doi.org/10.1088/1742-6596/1844/1/012010.

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22

Ke, Weiming. "Reliability and Risk Models: Setting Reliability Requirements." Technometrics 49, no. 4 (November 2007): 497. http://dx.doi.org/10.1198/tech.2007.s694.

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23

Billinton, R., H. J. Koglin, and E. Roos. "Reliability equivalents in composite system reliability evaluation." IEE Proceedings C Generation, Transmission and Distribution 134, no. 3 (1987): 224. http://dx.doi.org/10.1049/ip-c.1987.0035.

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24

Roychowdhury, S., and D. Bhattacharya. "Improving system reliability using conditional reliability importance." Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 225, no. 1 (March 2011): 91–99. http://dx.doi.org/10.1177/1748006xjrr384.

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25

Turner, Timothy E. "Wafer level reliability: Process control for reliability." Microelectronics Reliability 36, no. 11-12 (November 1996): 1839–46. http://dx.doi.org/10.1016/0026-2714(96)00211-9.

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26

Seferoğlu, Tonguç. "A Reliabilist Interpretation of Socrates’ Autobiography." ΣΧΟΛΗ. Ancient Philosophy and the Classical Tradition 17, no. 2 (2023): 582–604. http://dx.doi.org/10.25205/1995-4328-2023-17-2-582-604.

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This paper aims to offer a novel interpretation of Socrates’ autobiography in the Phaedo 96-102 by using reliabilist epistemology as a heuristic guide to spell out the complex dynamics of the intellectual development of Socrates of the Phaedo. Surprisingly, scholars have mostly focused on the outcomes of Socrates’s scientific investigations, but they neglected the dynamics of the discovery process. The reason why Socrates rejected many earlier scientific ideas and the way in which he discovered new theories as much significant and noteworthy as those theories. I argue that Socrates’ discovery and implementation of new methods of inquiry meet the epistemic standards of reliabilism that emphasize the reliability of processes involved in belief-formation. I show that Socrates criticized the physicists’ materialistic-mechanistic approach to explain coming-to-be, perishing, and being because of its unreliability. The paper concludes that (a) the concept of reliability is used as a guide to theory choice in Socrates’ autobiography (b) the positive feature of Socrates’ second sailing is its reliability and (c) reliability is the motive behind Socrates’ choice of certain belief-forming processes, namely a priori reasoning, the method of hypothesis, and the theory of Forms, in the search of the cause of coming-to-be, perishing, and being.
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27

Kasumu, Raimi Ajibola. "Reliability of system with dependent units." Applications of Mathematics 30, no. 5 (1985): 317–20. http://dx.doi.org/10.21136/am.1985.104159.

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Bashir, Josefeena, and Marudhar Marudhar. "Reliability & Validity of the Research." Scientific Journal of India 3, no. 1 (December 31, 2018): 66–69. http://dx.doi.org/10.21276/24565644/2018.v3.i1.23.

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Heald, Graeme. "Issues with Reliability of Fuzzy Logic." International Journal of Trend in Scientific Research and Development Volume-2, Issue-6 (October 31, 2018): 829–34. http://dx.doi.org/10.31142/ijtsrd18573.

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Sheakh, Taraq Hussain. "Software Reliability Analysis- A New Approach." International Journal of Scientific Research 3, no. 2 (June 1, 2012): 75–77. http://dx.doi.org/10.15373/22778179/feb2014/24.

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Avinash, S. J., Dr J. K. Dattatreya, and Dr V. Devaraj Devaraj. "Reliability Analysis of 2D Steel Frame." Bonfring International Journal of Man Machine Interface 4, Special Issue (July 30, 2016): 31–35. http://dx.doi.org/10.9756/bijmmi.8152.

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Kalamazh, Ruslana, and Maria Avhustiuk. "LEARNING MOTIVATION IN METACOGNITIVE MONITORING RELIABILITY." Psychological Prospects Journal, no. 31 (2018): 107–17. http://dx.doi.org/10.29038/2227-1376-2018-31-107-117.

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Comandulli, Sidney, Antonio Jose Reis Da Trindade, and Gustavo Menezes Siqueira. "Online reliability." Rio Oil and Gas Expo and Conference 20, no. 2020 (December 1, 2020): 447–48. http://dx.doi.org/10.48072/2525-7579.rog.2020.447.

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Suzuki, Yoshihisa. "Reliability Engineering." Journal of SHM 10, no. 4 (1994): 2–8. http://dx.doi.org/10.5104/jiep1993.10.4_2.

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Blundell, Richard, David A. Belsley, and Edwin Kuh. "Model Reliability." Economic Journal 97, no. 385 (March 1987): 236. http://dx.doi.org/10.2307/2233339.

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Rigdon, Steven E., and Robert A. Dovich. "Reliability Statistics." Technometrics 34, no. 1 (February 1992): 118. http://dx.doi.org/10.2307/1269584.

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Krippendorff, Klaus. "Misunderstanding Reliability." Methodology 12, no. 4 (October 2016): 139–44. http://dx.doi.org/10.1027/1614-2241/a000119.

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Ravi, Sreenivasan. "Bayesian Reliability." Journal of the Royal Statistical Society: Series A (Statistics in Society) 173, no. 4 (September 20, 2010): 935. http://dx.doi.org/10.1111/j.1467-985x.2010.00663_4.x.

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Butler, Ronald W., and Richard E. Barlow. "Engineering Reliability." Journal of the American Statistical Association 95, no. 450 (June 2000): 682. http://dx.doi.org/10.2307/2669424.

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Kennedy, Peter, David A. Belsley, and Edwin Kuh. "Model Reliability." Canadian Journal of Economics 19, no. 4 (November 1986): 840. http://dx.doi.org/10.2307/135334.

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Whitney, JoAnne. "Reliability coefficients." Journal of WOCN 27, no. 4 (July 2000): 0238–39. http://dx.doi.org/10.1067/mjw.2000.107483.

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Goodkin, D. E. "EDSS reliability." Neurology 41, no. 2, Part 1 (February 1, 1991): 332. http://dx.doi.org/10.1212/wnl.41.2_part_1.332.

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Noseworthy, J. H., M. K. Vandervoort, C. J. Wong, and G. C. Ebers. "EDSS reliability." Neurology 41, no. 2, Part 1 (February 1, 1991): 332. http://dx.doi.org/10.1212/wnl.41.2_part_1.332-a.

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Larrucea, Xabier, Fabien Belmonte, Adam Welc, and Tao Xie. "Reliability Engineering." IEEE Software 34, no. 4 (2017): 26–29. http://dx.doi.org/10.1109/ms.2017.89.

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LYNN, MARY R. "Reliability Estimates." Nursing Research 34, no. 4 (July 1985): 254???255. http://dx.doi.org/10.1097/00006199-198507000-00016.

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46

Hånell, Anders. "Discovery reliability." Journal of Cerebral Blood Flow & Metabolism 39, no. 6 (March 13, 2019): 1185–87. http://dx.doi.org/10.1177/0271678x19837015.

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Whenever an experiment yields a statistically significant outcome you should ask yourself: To what extent can I trust this result? This is especially important for pre-clinical drug studies because of the frequent failures of phase III clinical trials of neurological diseases, which has put the reliability of pre-clinical research into question. Two important factors, the pre-study likelihood of treatment benefit, and statistical power, affects the reliability of the result in a quantifiable way. This can be used to assess to what extent the result of a study can be trusted (discovery reliability), and to guide the design of pre-clinical research.
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47

Goldsmith, Chuck, John Maciel, and John Mckillop. "Demonstrating Reliability." IEEE Microwave Magazine 8, no. 6 (December 2007): 56–60. http://dx.doi.org/10.1109/mmm.2007.902197.

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Goldsmith, Chuck, John Maciel, and John Mckillop. "Demonstrating Reliability." IEEE Microwave Magazine 8, no. 6 (December 2007): 56–60. http://dx.doi.org/10.1109/mmm.2007.907197.

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49

McMillan, Garnett P. "On Reliability." Ear and Hearing 35, no. 5 (2014): 589–90. http://dx.doi.org/10.1097/aud.0000000000000042.

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Scliffet, George. "Power Reliability." Strategic Planning for Energy and the Environment 22, no. 2 (October 2002): 56–72. http://dx.doi.org/10.1080/10485230209509613.

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