Original Article

Time Series Investigation of Milk Production in Major States of India Using ARIMA Modeling

Year: 2020 | Month: February | Volume 10 | Issue 1

References (18)

1.Anonymous. 2018. National Action plan of Diary development, Ministry of Agriculture & Farmers Welfare.

View at Google Scholar

2.Bhardwaj, P.K., Pathera, A.K. and Bishnoi, S. 2017. Quality Evaluation of Milk Products Retailed in Hisar City of Haryana State. J. Anim. Res., 7(3): 553-558.

View at Google Scholar

3.Box, G.E.P. and Jenkins, G.M. 1976. Time Series Analysis: Forecasting and Control, Holden-Day. San Fransisco.

View at Google Scholar

4.Chaudhari, D.J. and Tingre, A.S. 2015. Forecasting eggs production in India. Indian J. Anim. Res., 49(3): 367-372.

View at Google Scholar

5.Deshmukh, S.S. and Paramasivam, R. 2016. Forecasting of milk production in India with ARIMA and VAR time series models. Asian J. Dairy Food Res., 35(1):17-22.

View at Google Scholar

6.Engle, R.F. 1982. Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation, Econometrica., 50: 987-1008.

View at Google Scholar

7.Gideon E.S. 1978. “Estimating the dimension of a model”. Ann. Statist., 6(2): 461-464.

View at Google Scholar

8.Holt, C.C. 1957. Forecasting seasonal and trends by exponentially weighted moving averages. Office of Naval Research. Research Memorandum, pp. 52.

View at Google Scholar

9.Hyndman, R.J. and Athanasopoulos, G. 2018. “Forecasting: principles and practice”, 2nd ed. OTexts, Melbourne, Australia. Section 3.4 “Evaluating forecast accuracy”. https:// otexts.org/fpp2/accuracy.html.

View at Google Scholar

10.Hyndman, R.J. and Koehler, A.B. 2006. “Another look at measures of forecast accuracy”. Int. J. Forecasting, 22(4): 679-688.

View at Google Scholar

11.Hyndman, R.J., Koehler, A.B., Ord, J.K. and Snyder, R.D. 2008. Forecasting with exponential smoothing: the state space approach. Berlin: Springer-Verlag.

View at Google Scholar

12.Intriligator, M.D., Bodkin, R.G. and Hsio, C. 1996. "Econometric Models, Techniques, and Applications”. Prentice Hall edition.

View at Google Scholar

13.Kwiatkowski, D., Phillips, P.C.B., Schmidt, P. and Shin, Y. 1992. “Testing the Null Hypothesis of Stationarity against the Alternative of a Unit Root”. J. Econometrics, 54: 159-178.

View at Google Scholar

14.Leybourne, S.J. and McCabe, B.P.M. 1994. A consistent test for a unit root. J. Busin. Econom. Statist., 12: 157-166.

View at Google Scholar

15.Mishra, P., Fatih, C., Niranjan, H.K., Tiwari, S., Devi, M. and Dubey, A. 2020. Modelling and forecasting of milk production in Chhattisgarh and India. Ind. J. Anim. Res., DOI- 10.18805/ijar.B-3918

View at Google Scholar

16.Pablo, M.P. and Carlos, A.I. 2016. Forecasting with a Random Walk. J. Econom. Finan., 66: 6.

View at Google Scholar

17.Prajneshu. and Venugopalan, R. 1997. Statistical modelling for describing fish production in India. Indian J. Anim. Sci., 67(5): 452-456.

View at Google Scholar

18.Sharma, M., Jasrotia, N., Kumar, B., Bhat, A. and Mahajan, S., 2018. Modeling of Monthly Arrival of Rohu Fish using ARIMA in Jammu Region of J&K State. J. Anim. Res., 8(2): 259-262.

View at Google Scholar

@ Journal of Animal Research | In Association with Association of Mastitis

30563083 - Visitors since March 23, 2019