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Statistical Analysis of Trends in the Red River Over a 45 Year Period

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The N ′<br />

<strong>in</strong>dividual slope estimates, Q, are computed for each time period:<br />

where<br />

Q = x′ i − x i<br />

i ′ − i ,<br />

x ′ i and x i are <strong>the</strong> data values at time i ′<br />

and i (<strong>in</strong> days), respectively, i ′ > 1 and;<br />

N ′<br />

is <strong>the</strong> number <strong>of</strong> observations <strong>in</strong> <strong>the</strong> pth group<br />

Sen’s slope estimator is <strong>the</strong>n calculated by choos<strong>in</strong>g <strong>the</strong> middle-ranked slope as<br />

follows;<br />

⎧<br />

⎪⎨ Q [N ′ =n(n−1)/2] if N ′ is odd<br />

(<br />

)<br />

1 ⎪⎩ Q ′<br />

2<br />

N<br />

+ Q ′ N =n(n+2)<br />

if N ′<br />

is even;<br />

2<br />

2<br />

where n is <strong>the</strong> number <strong>of</strong> time periods;this value is multiplied by 365 to give <strong>the</strong><br />

yearly slope value.<br />

The seasonal Mann-Kendall test is an extension <strong>of</strong> <strong>the</strong> Mann-Kendall test for<br />

trend that removes seasonal cycles. To compute <strong>the</strong> seasonal Mann-Kendall statistic,<br />

S i , for each season <strong>the</strong>re must be a m<strong>in</strong>imum sample size <strong>of</strong> four data po<strong>in</strong>ts <strong>in</strong><br />

each season.<br />

S i =<br />

n∑<br />

i −1<br />

∑n i<br />

k=1 l=k+1<br />

sgn(x il − x ik )<br />

where S i is <strong>the</strong> statistic for <strong>the</strong> ith season and<br />

⎧<br />

−1, if x < 0;<br />

⎪⎨<br />

sgn(x) = 0, if x = 0;<br />

⎪⎩<br />

1, if x > 0.<br />

With use <strong>of</strong> <strong>the</strong> normal approximation (i.e.: greater than 41 observations) <strong>the</strong><br />

Mann-Kendall test statistic, S is calculated. When <strong>the</strong>re are no tied values, <strong>the</strong><br />

21

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