Gary D. Tasker
1983
<p><span>The effect of serial dependence on the reliability of an estimate of the </span><i>T</i><span>-yr. event is of importance in hydrology because design decisions are based upon the estimate. In this paper the reliability of estimates of the </span><i>T</i><span>-yr. event from two common distributions is given as a function of number of observations and lag-one serial correlation coefficient for </span><i>T</i><span> = 2, 10, 20, 50, and 100 yr. A lag-one autoregressive model is assumed with either a normal or Pearson Type-III disturbance term. Results indicate that, if observations are serially correlated, the effective record length should be used to estimate the discharge associated with the expected exceedance probability.</span></p>
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10.1016/0022-1694(83)90059-8
en
Elsevier
Effective record length for the T-year event
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