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Weakly Trends in Scalar Component Time Series

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  Remarking An Analisation   ISSN NO.: 2394-0344   RNI No.UPBIL/2016/67980       VOL-5* ISSUE-12* March- 2021   Paper Submission: 04/03/2021, Date of Acceptance: 14/03/2021, Date of Publication: 25/03/2021   B. L. Bable  Professor & Head, Dept. of Statistics,  Dnyanopasak Mahavidyalaya,  Parbhani, Maharashtra, India   Abstract In this paper, a time series {X(t, ), t Є T} on ( , C, P) is explained. Where X is a random variable (r. v.). X it i = 1,2 are the area and production of total foodgrains of two component series. t is the time in(years) variable. The properties of stationary time series with supporting real life examples have been taken. Area and production of total foodgrains data for 27 years from five districts of Marathwada region in Maharastra State were analyzed. A preliminary discussion of properties of time series precedes the actual application to district-wise area and production of total foodgr...

Statistical Analysis of Trend in BSEBankex during “Covid 19” Pandemic Outbreak: Pre and Post Study

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Srinkhala Ek Sodhparak Vaicharik Patrika   ( P: ISSN NO.: 2321-290X RNI : UPBIL/2013/55327 VOL-8* ISSUE-2* October- 2020 E: ISSN NO.: 2349-980X) Paper Submission: 15/10/2020, Date of Acceptance: 26/10/2020, Date of Publication: 27/10/2020 Abstract   Sunita Kanwar   Research Scholar, Dept. of Statistics, University of Rajasthan, Jaipur, Rajasthan, India Anil Kumar Bhardwaj  Associate Professor Dept of Statistics, University of Rajasthan, Jaipur, Rajasthan, India Vipin Tayal  Retd. Professor Dept. of Statistics, University of Rajasthan, Jaipur, Rajasthan, India       In a growing world, India has also featured as one of the foremost economy with its own consumer demand as well Indian markets have come up with a hope for overseas multinational companies and other financial players from every corner of the world.A paradigm shift has been observed in last one decade especially as a consequence of economic reforms in early 1990s. Robust growth has b...

Properties of Weak and Strict Stationary Time Series

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Asian Resonance (P: ISSN No. 0976 - 8602 RNI No.UPENG/2012/42622 VOL.-IV, ISSUE-III, July-2015 E: ISSN No. 2349 - 9443) Abstract   B. L. Bable  Associate Professor & Head, Deptt .of Statistics, Dnyanopasak Mahavidyalaya, Parbhani D. D. Pawar  Associate Professor and Research Guide in Statistics, N.E.S. Science College, Nanded In this paper, a time series {X t(), t Є T} on ( , C, P) is explained. Where X is a random variable (r. v.). The properties of weak and strict stationary time series with supporting real life examples have been taken and conclusion have been drawn by testing methodology of hypothesis. Number of rainy days and rainfall data for 26 years from Aurangabad District of Maharastra State were analyzed. for full paper please visit below link : http://www.socialresearchfoundation.com/upoadreserchpapers/1/61/1510151234211st%20b%20l%20bable.pdf