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References and citations

Every external source the documentation and the analysis core cite, in one place. Other pages link their in-text citations here, so a method named anywhere in these docs points to its full reference below.

These entries mirror the in-app Methods & References registry (idf_analyzer/references/registry.py), which is the authoritative source for citations and renders the same references next to each method in the application. Where a DOI or canonical URL is on file it is linked; classic references are given to author, year, title, and venue. A few locators carry a (verify) marker: the author, year, and title are believed correct but the exact volume, pages, or edition should be confirmed against the primary document before relying on it.

Methods and statistical literature

  • Akaike, H. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19(6), 716-723. doi.org/10.1109/TAC.1974.1100705
  • Anderson, R. L. (1942). Distribution of the serial correlation coefficient. Annals of Mathematical Statistics, 13(1), 1-13. (verify) doi.org/10.1214/aoms/1177731638
  • Barnett, V., & Lewis, T. (1994). Outliers in Statistical Data (3rd ed.). John Wiley & Sons.
  • Burn, D. H. (1990). Evaluation of regional flood frequency analysis with a region of influence approach. Water Resources Research, 26(10), 2257-2265. (verify) doi.org/10.1029/WR026i010p02257
  • Chow, V. T., Maidment, D. R., & Mays, L. W. (1988). Applied Hydrology. McGraw-Hill.
  • Cunnane, C. (1978). Unbiased plotting positions - a review. Journal of Hydrology, 37(3-4), 205-222. (verify) doi.org/10.1016/0022-1694(78)90017-3
  • Efron, B., & Tibshirani, R. J. (1993). An Introduction to the Bootstrap. Chapman & Hall/CRC.
  • Grubbs, F. E. (1969). Procedures for detecting outlying observations in samples. Technometrics, 11(1), 1-21. (verify) doi.org/10.1080/00401706.1969.10490657
  • Gumbel, E. J. (1958). Statistics of Extremes. Columbia University Press.
  • Hershfield, D. M. (1961). Rainfall Frequency Atlas of the United States (Technical Paper No. 40). U.S. Weather Bureau. (US; short-duration ratio and fixed-window context, cross-check only.)
  • Hosking, J. R. M. (1990). L-moments: analysis and estimation of distributions using linear combinations of order statistics. Journal of the Royal Statistical Society, Series B, 52(1), 105-124. (verify) doi.org/10.1111/j.2517-6161.1990.tb01775.x
  • Hosking, J. R. M., & Wallis, J. R. (1997). Regional Frequency Analysis: An Approach Based on L-Moments. Cambridge University Press.
  • Iglewicz, B., & Hoaglin, D. C. (1993). How to Detect and Handle Outliers. ASQC Quality Press.
  • Jenkinson, A. F. (1955). The frequency distribution of the annual maximum (or minimum) values of meteorological elements. Quarterly Journal of the Royal Meteorological Society, 81(348), 158-171. (verify) doi.org/10.1002/qj.49708134804
  • Jennings, A. H. (1950). World's greatest observed point rainfalls. Monthly Weather Review.
  • Keifer, C. J., & Chu, H. H. (1957). Synthetic storm pattern for drainage design. Journal of the Hydraulics Division, ASCE, 83(HY4), 1332-1 to 1332-25. (verify) doi.org/10.1061/JYCEAJ.0000104
  • Kendall, M. G. (1975). Rank Correlation Methods (4th ed.). Charles Griffin.
  • Mann, H. B. (1945). Nonparametric tests against trend. Econometrica, 13(3), 245-259. (verify) doi.org/10.2307/1907187
  • Menabde, M., Seed, A., & Pegram, G. (1999). A simple scaling model for extreme rainfall. Water Resources Research, 35(1), 335-339. (verify) doi.org/10.1029/1998WR900012
  • Pettitt, A. N. (1979). A non-parametric approach to the change-point problem. Journal of the Royal Statistical Society, Series C (Applied Statistics), 28(2), 126-135. (verify) doi.org/10.2307/2346729
  • Sen, P. K. (1968). Estimates of the regression coefficient based on Kendall's tau. Journal of the American Statistical Association, 63(324), 1379-1389. doi.org/10.1080/01621459.1968.10480934
  • Sherman, C. W. (1931). Frequency and intensity of excessive rainfalls at Boston, Massachusetts. Transactions of the American Society of Civil Engineers, 95, 951-960. (verify) doi.org/10.1061/TACEAT.0004286
  • Stedinger, J. R., Vogel, R. M., & Foufoula-Georgiou, E. (1993). Frequency analysis of extreme events (Chapter 18). In D. R. Maidment (Ed.), Handbook of Hydrology. McGraw-Hill. (verify)
  • Weibull, W. (1939). A statistical theory of the strength of materials. Ingeniorsvetenskapsakademiens Handlingar.

Standards and guidelines

  • Interagency Advisory Committee on Water Data (IACWD) (1982). Guidelines for Determining Flood Flow Frequency, Bulletin 17B. U.S. Geological Survey.
  • England, J. F., et al. (2019). Guidelines for Determining Flood Flow Frequency - Bulletin 17C. U.S. Geological Survey Techniques and Methods 4-B5. (verify) pubs.usgs.gov/publication/tm4B5
  • USDA-NRCS. National Engineering Handbook, Part 630 Hydrology. USDA Natural Resources Conservation Service.
  • Bonnin, G. M., et al. NOAA Atlas 14, Precipitation-Frequency Atlas of the United States. NOAA/National Weather Service. (US; sub-hourly ratio cross-check only, not a Canadian source.)
  • USDA Soil Conservation Service (SCS) (1986). Urban Hydrology for Small Watersheds, Technical Release 55 (TR-55). USDA-SCS.
  • USDA Natural Resources Conservation Service (NRCS). WinTR-55 Small Watershed Hydrology, v2.00. USDA-NRCS. (verify) data.nal.usda.gov/dataset/small-watershed-hydrology-wintr-55
  • World Meteorological Organization (WMO). Guide to Climatological Practices (WMO-No. 100). WMO.
  • World Meteorological Organization (WMO). Guide to Hydrological Practices (WMO-No. 168). WMO.

Datasets and data services