TEMPERATURE AND TIME SERIES ANALYSIS

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DC Field	Value	Language
dc.contributor.author	M, Rajeshwari	-
dc.contributor.author	P, Rashmi	-
dc.date.accessioned	2020-06-17T11:09:01Z	-
dc.date.available	2020-06-17T11:09:01Z	-
dc.date.issued	2019-12	-
dc.identifier.issn	0374-8588	-
dc.identifier.uri	http://localhost:8080/xmlui/handle/123456789/228	-
dc.description.abstract	Climate 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.language.iso	en	en_US
dc.publisher	Journal of The Gujarat Research Society	en_US
dc.subject	Temperature	en_US
dc.subject	Analysis	en_US
dc.title	TEMPERATURE AND TIME SERIES ANALYSIS	en_US
dc.type	Article	en_US
Appears in Collections:	International Journals

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