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Stratified Sampling

Verhoff et al. [1980] (also see Thomas and Lewis [1995]) describes a stratified sampling method to estimate nutrient and chemical transport. Each sample is assigned to one of strata according to discharge. The weight corresponding to each observation is proportional to the probability associated with its stratum (in this case, the amount of time that discharge was within the bounds of the stratum) and inversely proportional to the number of samples in the stratum. Approximate confidence intervals for resulting estimates are derived.

To implement stratified sampling one first divides the target population, usually next year's sediment load, into strata corresponding to ranges of water discharge or to some other explanatory variable. The load in the h-th stratum, denoted , can be expressed as the sum of the loads corresponding to each of equal-sized intervals in that stratum:

 

where

is the number of equal-sized (and short) intervals in the h-th stratum;

is the load integrated over the k-th interval, which, by continuity, is approximately equal to the product of the interval width and the instantaneous load at any point (or the average of several points) contained in the interval.

The true total load is the sum of the loads in each stratum:

 

where

is the number of strata.

Equations (9) and (10) can be combined to yield:

which provides the basis for the stratified estimators. Having collected at least one sample (i.e. one observation of concentration, and therefore also of load) in each stratum, total load can be estimated by:

where

is the number of observations actually collected in the h-th stratum. The sampled intervals represent the intervals in the h-th stratum;

is the j-th observed (measured) load in the h-th stratum.

The variance of can be estimated by:

where



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Next: A Modification: Statistically-Based Up: Method 2: Direct Previous: Method 2: Direct



U.S. National Report to IUGG, 1991-1994
Rev. Geophys. Vol. 33 Suppl., © 1995 American Geophysical Union