'Sample autocorrelation' presentation slideshows

Tools for quantifying changes in ecosystem service delivery through time

407 views • 29 slides

R -programming on Linear Time Series

R -programming on Linear Time Series. Hung Chen Department of Mathematics National Taiwan University 12/10/2002. Outline. Overview Build a probability model for the data. Decomposition of signal and noise a trend component a seasonal component a residual (stationary process)

551 views • 25 slides

STEADY-STATE SYSTEM SIMULATION(2)

STEADY-STATE SYSTEM SIMULATION(2). REVIEW OF THE BASICS. Initial Transient a.k.a. Warm-Up Period. PROCEDURE. Y(i,j) is the ith sample of the jth replication Confidence interval on {Y(i,*)} Eyeball the diminution of drift (j* is where) Make 3j* the truncation point

325 views • 20 slides

Error Propagation

Error Propagation. Uncertainty reflects the knowledge that a measured value is related to the mean. Probable error is the range from the mean with a 50% certainty. For a normal distribution:. Uncertainty. The coefficient of variation (CV) is the ratio of the standard deviation to the mean.

1.26k views • 19 slides