tolerance: An R Package for Estimating Tolerance Intervals
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DOI: http://hdl.handle.net/10.18637/jss.v036.i05
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Cited by:
- Kedai Cheng & Derek S. Young, 2023. "An Approach for Specifying Trimming and Winsorization Cutoffs," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 28(2), pages 299-323, June.
- Tom Burr & Elisa Bonner & Kamil Krzysztoszek & Claude Norman, 2019. "Setting Alarm Thresholds in Measurements with Systematic and Random Errors," Stats, MDPI, vol. 2(2), pages 1-13, May.
- Mathew, Thomas & Young, Derek S., 2013. "Fiducial-based tolerance intervals for some discrete distributions," Computational Statistics & Data Analysis, Elsevier, vol. 61(C), pages 38-49.
- Maryam Al-Kandari & Kingsley Adjenughwure & Kyriakos Papadopoulos, 2020. "A Fuzzy-Statistical Tolerance Interval from Residuals of Crisp Linear Regression Models," Mathematics, MDPI, vol. 8(9), pages 1-10, August.
- Ilaria Lucrezia Amerise, 2023. "A direct method for constructing distribution-free tolerance regions," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(5), pages 3941-3954, October.
- Penelope S. Pooler & Philip E. Goodrum & Deana Crumbling & Leah D. Stuchal & Stephen M. Roberts, 2018. "Incremental Sampling Methodology: Applications for Background Screening Assessments," Risk Analysis, John Wiley & Sons, vol. 38(1), pages 194-209, January.
- Thurnher, Christopher & Klopf, Mario & Hasenauer, Hubert, 2017. "MOSES – A tree growth simulator for modelling stand response in Central Europe," Ecological Modelling, Elsevier, vol. 352(C), pages 58-76.
- Guillermo Vinue & Irene Epifanio, 2021. "Robust archetypoids for anomaly detection in big functional data," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 15(2), pages 437-462, June.
- Shin‐Fu Tsai, 2020. "Approximate two‐sided tolerance intervals for normal mixture distributions," Australian & New Zealand Journal of Statistics, Australian Statistical Publishing Association Inc., vol. 62(3), pages 367-382, September.
- Chen, Cathy W.S. & Lin, Tsai-Yu, 2017. "Nonparametric tolerance limits for pair trading," Finance Research Letters, Elsevier, vol. 21(C), pages 1-9.
- Kyung Serk Cho & Hon Keung Tony Ng, 2021. "Tolerance intervals in statistical software and robustness under model misspecification," Journal of Statistical Distributions and Applications, Springer, vol. 8(1), pages 1-49, December.
- Ngan Hoang-Nguyen-Thuy & K. Krishnamoorthy, 2021. "A method for computing tolerance intervals for a location-scale family of distributions," Computational Statistics, Springer, vol. 36(2), pages 1065-1092, June.
- Lin, Tsai-Yu & Chen, Cathy W.S. & Syu, Fong-Yi, 2021. "Multi-asset pair-trading strategy: A statistical learning approach," The North American Journal of Economics and Finance, Elsevier, vol. 55(C).
- Young, D.S., 2013. "Approximate tolerance limits for Zipf–Mandelbrot distributions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(7), pages 1702-1711.
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