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dc.contributor.authorChandler, Richarden_US
dc.contributor.authorScott, Marianen_US
dc.date.accessioned2016-08-09T01:05:27Z
dc.date.available2016-08-09T01:05:27Z
dc.date.issued2012en_US
dc.identifier.isbn0470015438en_US
dc.identifier.isbn9780470015438en_US
dc.identifier.otherHPU1160245en_US
dc.identifier.urihttps://lib.hpu.edu.vn/handle/123456789/22786
dc.description.abstractThe second approach is to analyse the available data, either to look for relationships that could explain how the system works or to test hypotheses suggested by process based considerations. ‘Trend analysis’ can be defined as the use of such an empirical approach to quantify and explain changes in a system over a period of time.1 The statistical tools required to carry out a trend analysis range from the simple to the very advanced. However, the complexity of most environmental systems, often coupled with difficulties in making accurate observations, ensures that simple methods are rarely adequate for more than a preliminary inspection of the data.en_US
dc.format.extent378 p.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoenen_US
dc.publisherWileyen_US
dc.subjectEnvironmental sciencesen_US
dc.subjectStatistical methodsen_US
dc.subjectTrend detectionen_US
dc.titleStatistical Methods for Trend Detection and Analysis in the Environmental Sciences (Statistics in Practice)en_US
dc.typeBooken_US
dc.size4,824KBen_US
dc.departmentEnglish resourcesen_US


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