Cloud observation and cloud modeling data can be presented in
histograms for each characteristic to be measured. Combining
information from single-cloud histograms yields a summary
histogram. Summary histograms can be compared to each other to
reach conclusions about the behavior of an ensemble of clouds in
different places at different times or about the accuracy of a
particular cloud model. As in any scientific comparison, it is
necessary to decide whether any apparent differences are
statistically significant. The usual methods of deciding
statistical significance when comparing histograms do not apply in
this case because they assume independent data. Thus, a new method
is necessary. The proposed method uses the Euclidean distance
metric and bootstrapping to calculate the significance level.
General
Imprint: |
Bibliogov
|
Country of origin: |
United States |
Release date: |
July 2013 |
First published: |
July 2013 |
Authors: |
Lisa Green
|
Dimensions: |
246 x 189 x 2mm (L x W x T) |
Format: |
Paperback - Trade
|
Pages: |
34 |
ISBN-13: |
978-1-289-15860-6 |
Categories: |
Books >
Social sciences >
Politics & government >
General
Promotions
|
LSN: |
1-289-15860-6 |
Barcode: |
9781289158606 |
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