The use of nonsystematic flood data for
statistical purposes depends on reliability of assessment both flood magnitudes
and their return period. The earliest known extreme flood year is usually the
beginning of the historical record. Even though the magnitudes of historic
floods are properly assessed, a problem of their retun periods remains
unsolved. Only largest flood (XM) is known during whole historical period and
its occurrence carves the mark of the beginning of the historical period and
defines its length (L). So, it is a common practice of using the earliest known
flood year as the beginning of the record. It means that the L value selected
is an empirical estimate of the lower bound on the effective historical length
M. The estimation of the return period of XM based on its occurrence, i.e.
 Benson, M. A. (1950). Use of Historical Data in Flood-Frequency Analysis. EOS Transaction on AGU, 31, 419-424. http://dx.doi.org/10.1029/TR031i003p00419
 Bernieur, I., Miquel, J., Lebosse, A., & Griffet, A. (1986). Use of Additional Historical Information for Estimation and Goodness of Fit of Flood Frequency Model. Int. Symp. On Flood Frequency and Risk Analysis, L.S.U., Baton Rouge, 14-17 May 1986.
 Frances, F., Salas, J. D., & Boes, D. C. (1994). Flood Frequency Analysis with Systematic and Historical or Paleoflood Data Based on the Two-Parameter General Extreme Value Models. Water Resources Research, 30, 1653-1664. http://dx.doi.org/10.1029/94WR00154
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 Hirsch, R. M. (1985). Probability Plotting Positions for Flood Records with Historical Information. China Bilateral Symposium on the Analysis of Extraordinary Flood Events, Nanjing, 21-23 October 1985. http://dx.doi.org/10.1029/WR023i004p00715
 Hirsch, R. M., & Stedinger, J. R. (1987). Plotting Positions for Historical Floods and Their Precision. Water Resources Research, 23, 715-727. http://dx.doi.org/10.1029/WR022i004p00543
 Interagency Advisory Committee on Water Data (IACWD) and U.S. Water Research Council Hydrology Committee (1982). Guidelines for Determining Flood Flow Frequency. Bull 17B, (Revised) Hydrol Subcomm, Office of Water Data Coord., U.S. Geol. Surv., Reston, Va.U.S. Gov. Print. Off. Washington D.C.
 Naulet, R., Lang, M., Ouarda, T. B. M. J., Coeur, D., Bobee, B., Recking, A., & Moussay, D. (2005). Flood Frequency Analysis on the Ardèche River Using French Documentary Sources from the Last Two Centuries. Journal of Hydrology, 313, 58-78. http://dx.doi.org/10.1016/j.jhydrol.2005.02.011
 Stedinger, J. R. and Cohn, T. A. (1986). Flood Frequency Analysis with Historical and Paleoflood Information. Water Resources Research, 22, 785-793. http://dx.doi.org/10.1029/WR022i005p00785
 Stedinger, J. R., & Baker, V. R. (1987). Surface Water Hydrology: Historical and Paleoflood Information. Review of Geophysics, 25, 119-124. http://dx.doi.org/10.1029/RG025i002p00119
 Strupczewski, W. G., Singh, V. P., & Weglarczyk, S. (2002a). Asymptotic Bias of Estimation Methods Caused by the Assumption of False Probability Distribution. Journal of Hydrology, 258, 122-148. http://dx.doi.org/10.1016/S0022-1694(01)00563-7
 W?glarczyk, S., Strupczewski, W. G., & Singh, V. P. (2002). A Note on the Applicability of log-Gumbel and log-Logistic Probability Distributions in Hydrological Analyses: II. Hydrological Sciences Journal, 47, 123-137.