This research paper is about thevariationin the degree of Continentality climate of the
Iraq during (40) years for a number of climate station. Using Poresof formula, it is found out
that the climate of Iraq ranges between extreme Continentality and very extreme
Continentality, and that the Continentality degree is characterized with extreme frequency
from one year to another. In certain years, the degree of climate Continentality decreases
while in other years it rises in such a way that there is no similarity in the Continental degree
from one year to another for the same station.
As for the general trend of the degree of Continentality, the last years had noticed
special variations, which are divided in to three climate regions: the first region exists in the
North and North-East of the country in which the Continentality degree tended to decrease
and it is ranged between-0.2% to -0.6%,while the Continentality degree of the second region,
which is located in the middle and north of the country, tended to rise simply and this ranged
between 0.6% to 1.7%. Finally, the Continentality degree of the third region, which is located
in the south-east tended to a most clear rise which ranged between 2.5% to 8.7%.
By drawing maps of the annual Continentality degree, it is found out that in some
yearsthe area of the extreme Continentality climate and the very extreme Continentality
climate are equal, while in other years, the area of the extreme Continentality climate
becomes much wider and the opposite happens in other years.
Abstract:
Robust statistics Known as, resistance to errors caused by deviation from the stability hypotheses of the statistical operations (Reasonable, Approximately Met, Asymptotically Unbiased, Reasonably Small Bias, Efficient ) in the data selected in a wide range of probability distributions whether they follow a normal distribution or a mixture of other distributions deviations different standard .
power spectrum function lead to, President role in the analysis of Stationary random processes, form stable random variables organized according to time, may be discrete random variables or continuous. It can be described by measuring its total capacity as function in frequency.
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