Research Journal of Animal Husbandry & Dairy Science

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Stochastic Modeling For Milk Production


Affiliations
1 Department of Statistics, Manonmaniam Sundaranar University, Tirunelveli (T.N.), India
     

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The present investigtion was carried out to study the trends in India’s milk production during the period 1990-91 to 2010-2011 based on fuzzy time series and holt-winters non-seasonal time-series models. Model performances have been carried out based on the model performance criteria such as the lower values of mean square error, variability co-efficient (d) and correlation co-efficient (r) of the model. It was found that the holt-winters non-seasonal time-series was found suitable to study the milk production trend.    


Keywords

Window Based Fuzzy Time Series, Mean Square Error, Variability Co-Efficient, Holt-Winters Non-Seasonal Model.
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  • Box, G.E. and Jenkins, G.M. (1976). Time series analysis forecasting and control. Holden-Day. San Fran., USA.

  • Cressie, N. (1988). A graphical procedure for determining nonstationary in time series. JASA, 83 : (404) :1108 – 1015.

  • Jeng-Ren Hwang, Shyi-Ming Chen and Chia-Hoang Lee (1998). Handling forecasting problems using fuzzy time series, Fuzzy Sets & Systems , 100 : 217-228.

  • Liu Cuicui and Yun Jun (2012). The comparative analysis of economic forecasting model on China’s logistics engineering industry. System Engg. Procedia, 5: 366 – 371.

  • Satya Pal, Ramasubramanian, V. and Mehta, S.C. (2007). Statistical models for forecasting milk production in India. J. Ind. Soc. Agril. Statist, 61(2) : 80 – 83.

  • Song, Q. and Chissom, B.S. (1993). Forecasting enrollments with fuzzy time series, part I. Fuzzy sets & Systems, 54 : 1– 9.

  • Sullivan, J. and Woodall, W.H. (1994). A comparison of fuzzy forecasting and Markov modeling. Fuzzy Sets & Systems, 64 : 279 – 293.


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  • Stochastic Modeling For Milk Production

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Authors

M. J. Thirunavukkarasu
Department of Statistics, Manonmaniam Sundaranar University, Tirunelveli (T.N.), India
A. Rajarathinam
Department of Statistics, Manonmaniam Sundaranar University, Tirunelveli (T.N.), India

Abstract


The present investigtion was carried out to study the trends in India’s milk production during the period 1990-91 to 2010-2011 based on fuzzy time series and holt-winters non-seasonal time-series models. Model performances have been carried out based on the model performance criteria such as the lower values of mean square error, variability co-efficient (d) and correlation co-efficient (r) of the model. It was found that the holt-winters non-seasonal time-series was found suitable to study the milk production trend.    


Keywords


Window Based Fuzzy Time Series, Mean Square Error, Variability Co-Efficient, Holt-Winters Non-Seasonal Model.

References