Relevant bibliographies by topics / Coefficient of confidence

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

Academic literature on the topic 'Coefficient of confidence'

Author: Grafiati
Published: 30 May 2022
Last updated: 31 July 2025

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Journal articles on the topic "Coefficient of confidence"

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Padilla, Miguel A., and Jasmin Divers. "Coefficient Omega Bootstrap Confidence Intervals." Educational and Psychological Measurement 73, no. 6 (2013): 956–72. http://dx.doi.org/10.1177/0013164413492765.

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Pitts, Susan M., Rudolf Grübel, and Paul Embrechts. "Confidence bounds for the adjustment coefficient." Advances in Applied Probability 28, no. 3 (1996): 802–27. http://dx.doi.org/10.2307/1428182.

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Let ?(u) be the probability of eventual ruin in the classical Sparre Andersen model of risk theory if the initial risk reserve is u. For a large class of such models ?(u) behaves asymptotically like a multiple of exp (–Ru) where R is the adjustment coefficient; R depends on the premium income rate, the claim size distribution and the distribution of the time between claim arrivals. Estimation of R has been considered by many authors. In the present paper we deal with confidence bounds for R. A variety of methods is used, including jackknife estimation of asymptotic variances and the bootstrap.
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Pitts, Susan M., Rudolf Grübel, and Paul Embrechts. "Confidence bounds for the adjustment coefficient." Advances in Applied Probability 28, no. 03 (1996): 802–27. http://dx.doi.org/10.1017/s0001867800046504.

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Let ?(u) be the probability of eventual ruin in the classical Sparre Andersen model of risk theory if the initial risk reserve is u. For a large class of such models ?(u) behaves asymptotically like a multiple of exp (–Ru) where R is the adjustment coefficient; R depends on the premium income rate, the claim size distribution and the distribution of the time between claim arrivals. Estimation of R has been considered by many authors. In the present paper we deal with confidence bounds for R. A variety of methods is used, including jackknife estimation of asymptotic variances and the bootstrap.
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Jeyaratnam, S. "Confidence intervals for the correlation coefficient." Statistics & Probability Letters 15, no. 5 (1992): 389–93. http://dx.doi.org/10.1016/0167-7152(92)90172-2.

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YE, Baojuan, and Zhonglin WEN. "Estimating Homogeneity Coefficient and Its Confidence Interval." Acta Psychologica Sinica 44, no. 12 (2013): 1687–94. http://dx.doi.org/10.3724/sp.j.1041.2012.01687.

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Padilla, Miguel A., Jasmin Divers, and Matthew Newton. "Coefficient Alpha Bootstrap Confidence Interval Under Nonnormality." Applied Psychological Measurement 36, no. 5 (2012): 331–48. http://dx.doi.org/10.1177/0146621612445470.

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Angus, John E. "Confidence coefficient of approximate two-sided confidence intervals for the binomial probability." Naval Research Logistics 34, no. 6 (1987): 845–51. http://dx.doi.org/10.1002/1520-6750(198712)34:6<845::aid-nav3220340609>3.0.co;2-d.

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Griffin, Norma S., and Michael E. Crawford. "Measurement of Movement Confidence with a Stunt Movement Confidence Inventory." Journal of Sport and Exercise Psychology 11, no. 1 (1989): 26–40. http://dx.doi.org/10.1123/jsep.11.1.26.

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The purposes of this study were (a) to construct and validate a Stunt Movement Confidence Inventory (SMCI) that would reliably discriminate between high- and low-confidence children and (b) to examine perceived confidence in light of assumptions from the movement confidence model. Interaction of three components postulated in the model (competence, potentials for enjoyment, and harm) was studied by analyzing the response patterns of 356 children. Reliability coefficients for item, subscale, total scale, and subject stability ranged from r=.79 to .93. SMCI subscales successfully classified 88%
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Andersson, Björn, and Tao Xin. "Large Sample Confidence Intervals for Item Response Theory Reliability Coefficients." Educational and Psychological Measurement 78, no. 1 (2017): 32–45. http://dx.doi.org/10.1177/0013164417713570.

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In applications of item response theory (IRT), an estimate of the reliability of the ability estimates or sum scores is often reported. However, analytical expressions for the standard errors of the estimators of the reliability coefficients are not available in the literature and therefore the variability associated with the estimated reliability is typically not reported. In this study, the asymptotic variances of the IRT marginal and test reliability coefficient estimators are derived for dichotomous and polytomous IRT models assuming an underlying asymptotically normally distributed item p
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Banik, Shipra, та B. M. Kibria. "Confidence Intervals for the Population Correlation Coefficient ρ". International Journal of Statistics in Medical Research 5, № 2 (2016): 99–111. http://dx.doi.org/10.6000/1929-6029.2016.05.02.4.

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Dissertations / Theses on the topic "Coefficient of confidence"

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Fridline, Mark M. "Almost Sure Confidence Intervals for the Correlation Coefficient." Cleveland, Ohio : Case Western Reserve University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=case1258999665.

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Thesis(Ph.D.)--Case Western Reserve University, 2010<br>Title from PDF (viewed on 2009-12-22) Department of Statistics Includes abstract Includes bibliographical references and appendices Available online via the OhioLINK ETD Center
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Turner, Heather Jean. "A Performance Evaluation of Confidence Intervals for Ordinal Coefficient Alpha." Thesis, University of North Texas, 2015. https://digital.library.unt.edu/ark:/67531/metadc801899/.

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Ordinal coefficient alpha is a newly derived non-parametric reliability estimate. As with any point estimate, ordinal coefficient alpha is merely an estimate of a population parameter and tends to vary from sample to sample. Researchers report the confidence interval to provide readers with the amount of precision obtained. Several methods with differing computational approaches exist for confidence interval estimation for alpha, including the Fisher, Feldt, Bonner, and Hakstian and Whalen (HW) techniques. Overall, coverage rates for the various methods were unacceptably low with the Fisher me
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Ukoumunne, Obioha Chukwunyere. "Confidence intervals for the intraclass correlation coefficient in cluster randomised trials." Thesis, King's College London (University of London), 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.418293.

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Liu, Huayu. "Modified Profile Likelihood Approach for Certain Intraclass Correlation Coefficient." Digital Archive @ GSU, 2011. http://digitalarchive.gsu.edu/math_theses/96.

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In this paper we consider the problem of constructing confidence intervals and lower bounds forthe intraclass correlation coefficient in an interrater reliability study where the raters are randomly selected from a population of raters.The likelihood function of the interrater reliability is derived and simplified, and the profile likelihood based approach is readily available for computing the confidence intervals of the interrater reliability. Unfortunately, the confidence intervals computed by using the profile likelihood function are in general too narrow to have the desired coverage proba
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Ollikainen, Kati. "PARAMETER ESTIMATION IN LINEAR REGRESSION." Doctoral diss., University of Central Florida, 2006. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/4138.

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Today increasing amounts of data are available for analysis purposes and often times for resource allocation. One method for analysis is linear regression which utilizes the least squares estimation technique to estimate a model's parameters. This research investigated, from a user's perspective, the ability of linear regression to estimate the parameters' confidence intervals at the usual 95% level for medium sized data sets. A controlled environment using simulation with known data characteristics (clean data, bias and or multicollinearity present) was used to show underlying problems exist
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Kim, Jong Phil. "Efficient confidence interval methodologies for the noncentrality parameters of noncentral T-distributions." Diss., Available online, Georgia Institute of Technology, 2007, 2007. http://etd.gatech.edu/theses/available/etd-04062007-124123/.

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Thesis (Ph. D.)--Industrial and Systems Engineering, Georgia Institute of Technology, 2007.<br>Lewis VanBrackle, Committee Member ; Brani Vidakovic, Committee Member ; Anthony J. Hayter, Committee Chair ; Nicholeta Serban, Committee Member ; Alexander Shapiro, Committee Member.
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Sabel, Till Verfasser], Axel [Akademischer Betreuer] Munk, and Lutz [Akademischer Betreuer] [Dümbgen. "Simultaneous Confidence Statements about the Diffusion Coefficient of an Itô-Process with Application to Spot Volatility Estimation / Till Sabel. Gutachter: Axel Munk ; Lutz Dümbgen. Betreuer: Axel Munk." Göttingen : Niedersächsische Staats- und Universitätsbibliothek Göttingen, 2014. http://d-nb.info/1054542279/34.

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Sabel, Till Verfasser], Axel [Akademischer Betreuer] [Munk, and Lutz [Akademischer Betreuer] Dümbgen. "Simultaneous Confidence Statements about the Diffusion Coefficient of an Itô-Process with Application to Spot Volatility Estimation / Till Sabel. Gutachter: Axel Munk ; Lutz Dümbgen. Betreuer: Axel Munk." Göttingen : Niedersächsische Staats- und Universitätsbibliothek Göttingen, 2014. http://d-nb.info/1054542279/34.

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Bourredjem, Abderrahmane. "Contribution à l'inférence sur le coefficient de corrélation intraclasse de concordance dans les études de fiabilité inter-juges." Electronic Thesis or Diss., Bourgogne Franche-Comté, 2023. http://www.theses.fr/2023UBFCK078.

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La fiabilité d'une mesure fait référence à sa reproductibilité lorsqu'elle est répétée de manière aléatoire sur le même sujet et constitue une propriété métrologique clé pour toutes les mesures. Le coefficient de corrélation intra-classe de concordance à deux voies (ICCa) est un paramètre statistique utilisé pour quantifier la fiabilité inter-observateurs des mesures continues (ou qualitatives ordinales). Il constitue un indice de fiabilité central recommandé par les agences réglementaires. Néanmoins, ses estimateurs sont biaisés et de nombreuses solutions ont été essayées pour améliorer son i
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Jin, Shaobo. "Computing Exact Confidence Coefficients of Simultaneous Confidence Intervals for Multinomial Proportions and their Functions." Uppsala universitet, Statistiska institutionen, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-200550.

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Books on the topic "Coefficient of confidence"

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Forest Products Laboratory (U.S.), ed. Confidence bounds for normal and lognormal distribution coefficients of variation. U.S. Dept. of Agriculture, Forest Service, Forest Products Laboratory, 2003.

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Verrill, S. P. Confidence bounds and hypothesis tests for normal distribution coefficients of variation. USDA, Forest Service, Forest Products Laboratory, 2007.

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Consortium for Mathematics and Its Applications (U.S.), Chedd-Angier Production Company, American Statistical Association, and Annenberg Media, eds. Against all odds--inside statistics: Disc 3, programs 9-12. Annenberg Media, 2011.

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Book chapters on the topic "Coefficient of confidence"

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Slivnyak, I. M. "A Lower Confidence Limit for the Multiple Correlation Coefficient." In New Results in Operator Theory and Its Applications. Birkhäuser Basel, 1997. http://dx.doi.org/10.1007/978-3-0348-8910-0_17.

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Kaewprasert, Theerapong, Sa-Aat Niwitpong, and Suparat Niwitpong. "Confidence Interval for Coefficient of Variation of Inverse Gamma Distributions." In Lecture Notes in Computer Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62509-2_34.

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Yosboonruang, Noppadon, Sa-Aat Niwitpong, and Suparat Niwitpong. "Confidence Intervals for the Coefficient of Variation of the Delta-Lognormal Distribution." In Econometrics for Financial Applications. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-73150-6_26.

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Yosboonruang, Noppadon, Suparat Niwitpong, and Sa-Aat Niwitpong. "Confidence Intervals for Coefficient of Variation of Three Parameters Delta-Lognormal Distribution." In Structural Changes and their Econometric Modeling. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04263-9_27.

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Sodanin, Sukritta, Sa-Aat Niwitpong, and Suparat Niwitpong. "Confidence Intervals for Common Mean of Normal Distributions with Known Coefficient of Variation." In Lecture Notes in Computer Science. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49046-5_49.

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La-ongkaew, Manussaya, Sa-Aat Niwitpong, and Suparat Niwitpong. "The Bayesian Confidence Intervals for the Coefficient of Variation of a Weibull Distribution." In Advances in Automation, Mechanical and Design Engineering. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-40070-4_34.

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Panichkitkosolkul, Wararit. "Approximate Confidence Interval for the Ratio of Normal Means with a Known Coefficient of Variation." In Lecture Notes in Computer Science. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25135-6_18.

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Niwitpong, Suparat, and Sa-Aat Niwitpong. "Confidence Intervals for the Difference Between Normal Means with Known Coefficients." In Lecture Notes in Computer Science. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25135-6_17.

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Sangnawakij, Patarawan, Sa-Aat Niwitpong, and Suparat Niwitpong. "Confidence Intervals for the Ratio of Coefficients of Variation of the Gamma Distributions." In Lecture Notes in Computer Science. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25135-6_19.

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Thangjai, Warisa, Sa-Aat Niwitpong, and Suparat Niwitpong. "Bayesian Confidence Intervals for Means of Normal Distributions with Unknown Coefficients of Variation." In Lecture Notes in Computer Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62509-2_30.

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Conference papers on the topic "Coefficient of confidence"

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Medina, Edgar Ivan Sanchez, Ann-Joelle Minor, and Kai Sundmacher. "Systematic comparison between Graph Neural Networks and UNIFAC-IL for solvent pre-selection in liquid-liquid extraction." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.132577.

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Solvent selection is a critical decision-making process that balances economic, environmental, and societal factors. The vast chemical space makes evaluating all potential solvents impractical, necessitating pre-selection strategies to identify promising candidates. Predictive thermodynamic models, such as the UNIFAC model, are commonly used for this purpose. Recent advancements in deep learning have led to models like the Gibbs-Helmholtz Graph Neural Network (GH-GNN), which overall offers higher accuracy in predicting infinite dilution activity coefficients over a broader chemical space than
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Wang, Xin, Zhaoyi Dai, Yue Zhao, et al. "Zinc Sulfide Solubility Modeling in Aqueous Solution at High Temperature, Pressure, and Ionic Strength." In CONFERENCE 2022. AMPP, 2022. https://doi.org/10.5006/c2022-17763.

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Abstract In this study, the solubility of zinc sulfide has been collected from the literature at pH 2 to 11, temperature 23 to 250 °C, pressure 0.6 to 150 bar, and ionic strength 0 to 4.6 m. A solubility model has been developed based on the combination of Pitzer theory calculated activity coefficient and speciation of the Zn-HS-OH-Cl aqueous system. In total, around 230 solubility data were collected as the input database, the model was fitted in Matalab 2020a with the particle-swarm optimization. The updated model is able to predict the ZnS solubility saturation index (SI) with 95% confidenc
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Patel, Ishan, and Gheorghe Bota. "Mechanistic Model as a Bias to Machine Learning Algorithm for Confident Prediction of Corrosion." In CONFERENCE 2023. AMPP, 2023. https://doi.org/10.5006/c2023-19108.

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Abstract Bayesian network is employed to estimate a risk-based life cycle cost of corrosion for assets. It has been highly recognized that inclusion of mechanistic models to a Bayesian network can increase the confidence in estimation of corrosion rates. However, coefficients of mechanistic models are often unknown, especially when complex rate processes are involved, which discourages the usage of the model. A methodology is proposed here, to introduce a mechanistic model as a bias to a regressive machine learning (ML) algorithm. No attempts have been made to obtain phenomenological coefficie
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EL Boujnouni, Mohamed, Mohamed Jedra, and Noureddine Zahid. "Support Vector Domain Description with a new confidence coefficient." In 2014 9th International Conference on Intelligent Systems: Theories and Applications (SITA). IEEE, 2014. http://dx.doi.org/10.1109/sita.2014.6847276.

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La-ongkaew, Manussaya, Sa-Aat Niwitpong, and Suparat Niwitpong. "Confidence Intervals for Single Coefficient of Variation of Weibull Distribution." In ICVISP 2019: 3rd International Conference on Vision, Image and Signal Processing. ACM, 2019. http://dx.doi.org/10.1145/3387168.3387253.

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Chankham, Wasana, Sa-Aat Niwitpong, and Suparat Niwitpong. "Confidence Intervals for Coefficient of Variation of Inverse Gaussian Distribution." In ICVISP 2019: 3rd International Conference on Vision, Image and Signal Processing. ACM, 2019. http://dx.doi.org/10.1145/3387168.3387254.

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Sodanin, Sukritta, Sa-Aat Niwitpong, and Suparat Niwitpong. "Generalized confidence intervals for the normal mean with unknown coefficient of variation." In INTERNATIONAL CONFERENCE ON MATHEMATICS, ENGINEERING AND INDUSTRIAL APPLICATIONS 2016 (ICoMEIA2016): Proceedings of the 2nd International Conference on Mathematics, Engineering and Industrial Applications 2016. Author(s), 2016. http://dx.doi.org/10.1063/1.4965163.

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Jiang, Zhehan. "A Monte Carlo Study of Confidence Interval Methods for Generalizability Coefficient (Poster 3)." In 2022 AERA Annual Meeting. AERA, 2022. http://dx.doi.org/10.3102/1882176.

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Hongmei, Ren, Jing Huang, Tang Chuanzi, and Bo Li. "The method of micro-motion cycle feature extraction based on confidence coefficient evaluation criteria." In LIDAR Imaging Detection and Target Recognition 2017, edited by Yueguang Lv, Jianzhong Su, Wei Gong, et al. SPIE, 2017. http://dx.doi.org/10.1117/12.2293474.

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Hareyama, Soichi, Ken-ichi Manabe, Takayuki Shimodaira, and Takashi Naganawa. "Experimental Study to Verify Elliptical Confidence Limit Method for Bolted Joint Tightening." In ASME 2016 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/imece2016-66336.

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The calibrated wrench method is often used for tightening. When tightening bolted joints, it is important to apply high axial tension. However, since the axial tension is indirectly applied in this method, it varies and has a distribution in the case of tightening carried out in the production line of a factory, for example. However, the calibrated wrench method is still widely used because of the simple tool and easy standardization. In our previous papers, we analyzed and discussed the main points of this research by a theoretical approach as discussed below. Conventionally, this type of dis
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Reports on the topic "Coefficient of confidence"

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Nored and James. PR-015-07603-R01 Effect of Orifice Plate Manufacturing Variations on Orifice Meter Performance - Blinded. Pipeline Research Council International, Inc. (PRCI), 2013. http://dx.doi.org/10.55274/r0010636.

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An investigation to flow test and measure a large set of orifice plates to determine the proportion of existing orifice plates have measured discharge coefficients outside of the Reader-Harris/Gallagher equation 95% confidence limits. The research determined if the existing tolerance specifications adequately describe the dimensions of an orifice plate required to conform to the Reader-Harris/Gallagher equation calculated discharge coefficient. The testing also underscored the influence of manufacturing variations on orifice plate performance.
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Nored and James. PR-015-07603-R02 Effect of Orifice Plate Manufacturing Variations on Orifice Meter Performance - Unblinded. Pipeline Research Council International, Inc. (PRCI), 2013. http://dx.doi.org/10.55274/r0010829.

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An investigation to flow test and measure a large set of orifice plates to determine the proportion of existing orifice plates have measured discharge coefficients outside of the Reader-Harris/Gallagher equation 95% confidence limits. The research determined if the existing tolerance specifications adequately describe the dimensions of an orifice plate required to conform to the Reader-Harris/Gallagher equation calculated discharge coefficient. The testing also underscored the influence of manufacturing variations on orifice plate performance.
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MR (Diffusion-Weighted Imaging (DWI) of the Apparent Diffusion Coefficient (ADC), Clinically Feasible Profile. Chair Michael Boss, Dariya Malyarenko, and Daniel Margolis. Radiological Society of North America (RSNA) / Quantitative Imaging Biomarkers Alliance (QIBA), 2022. http://dx.doi.org/10.1148/qiba/20221215.

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The goal of a QIBA Profile is to help achieve a useful level of performance for a given biomarker. The Claim (Section 2) describes the biomarker performance and is derived from the body of scientific literature meeting specific requirements, in particular test-retest studies. The Activities (Section 3) contribute to generating the biomarker. Requirements are placed on the Actors that participate in those activities as necessary to achieve the Claim. Assessment Procedures (Section 4) for evaluating specific requirements are defined as needed to ensure acceptable performance. Diffusion-Weighted
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Verrill, Steve. Confidence bounds for normal and lognormal distribution coefficients of variation. U.S. Department of Agriculture, Forest Service, Forest Products Laboratory, 2003. http://dx.doi.org/10.2737/fpl-rp-609.

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Verrill, Steve P., and Richard A. Johnson. Confidence bounds and hypothesis tests for normal distribution coefficients of variation. U.S. Department of Agriculture, Forest Service, Forest Products Laboratory, 2007. http://dx.doi.org/10.2737/fpl-rp-638.

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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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Jones, David, Roy Cook, John Sovell, et al. Natural resource condition assessment: Lincoln Boyhood National Memorial. National Park Service, 2024. http://dx.doi.org/10.36967/2301822.

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The National Park Service (NPS) Natural Resource Condition Assessment (NRCA) Program administered by the NPS Water Resources Division evaluates current conditions for important natural resources and resource indicators using primarily existing information and data. NRCAs also report on trends in resource condition, when possible, identify critical data gaps, and characterize a general level of confidence for study findings. This NRCA complements previous scientific endeavors, is multi-disciplinary in scope, employs a hierarchical indicator framework, identifies and develops reference condition
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Nantung, Tommy E., Jusang Lee, John E. Haddock, et al. Structural Evaluation of Full-Depth Flexible Pavement Using APT. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317319.

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The fundamentals of rutting behavior for thin full-depth flexible pavements (i.e., asphalt thickness less than 12 inches) are investigated in this study. The scope incorporates an experimental study using full-scale Accelerated Pavement Tests (APTs) to monitor the evolution of each pavement structural layer's transverse profiles. The findings were then employed to verify the local rutting model coefficients used in the current pavement design method, the Mechanistic-Empirical Pavement Design Guide (MEPDG). Four APT sections were constructed using two thin typical pavement structures (seven-and
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Ocampo-Gaviria, José Antonio, Roberto Steiner Sampedro, Mauricio Villamizar Villegas, et al. Report of the Board of Directors to the Congress of Colombia - March 2023. Banco de la República de Colombia, 2023. http://dx.doi.org/10.32468/inf-jun-dir-con-rep-eng.03-2023.

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Banco de la República is celebrating its 100th anniversary in 2023. This is a very significant anniversary and one that provides an opportunity to highlight the contribution the Bank has made to the country’s development. Its track record as guarantor of monetary stability has established it as the one independent state institution that generates the greatest confidence among Colombians due to its transparency, management capabilities, and effective compliance with the central banking and cultural responsibilities entrusted to it by the Constitution and the Law. On a date as important as this,
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