TEMPERATURE AND TIME SERIES ANALYSIS

dc.contributor.authorM, Rajeshwari
dc.contributor.authorP, Rashmi
dc.date.accessioned2020-06-17T11:09:01Z
dc.date.available2020-06-17T11:09:01Z
dc.date.issued2019-12
dc.description.abstractClimate change is one of the biggest environmental problems for many countries. It is also a big threat to food, production, water sources, forest and living environment. It results in climatic changes. More change in climate is being done on climate indices such as rainfall, temperature and so on. Auto Regressive Integrated Moving Average models have been grouped and used to perform short-term predictions on maximum and minimum temperatures. This study aims to find the temperature and time series in Curitiba.en_US
dc.identifier.issn0374-8588
dc.identifier.urihttps://dspace.psgrkcw.com/handle/123456789/228
dc.language.isoenen_US
dc.publisherJournal of The Gujarat Research Societyen_US
dc.subjectTemperatureen_US
dc.subjectAnalysisen_US
dc.titleTEMPERATURE AND TIME SERIES ANALYSISen_US
dc.typeArticleen_US

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