Economic Affairs
  • Year: 2024
  • Volume: 69
  • Issue: 3

Statistical modeling and trend analysis of sugarcane yield in the states of India

  • Author:
  • Manish Kumar*, Shiv Kumar Rana, S. Vivek Menon
  • Total Page Count: 7
  • Published Online: Feb 27, 2025
  • Page Number: 1199 to 1205

Department of Agricultural Statistics, Acharya Narendra Deva University of Agriculture & Technology, Ayodhya, India

*Corresponding author: manishstats88@gmail.com (ORCID ID: 0000-0002-4989-1612)

Online published on 27 February, 2025.

Abstract

In this paper, a time series data on sugarcane yield in some selected states of India is considered to determine the growth and trend patterns by fitting well-known statistical models, viz. linear model and exponential model. The trend values have been obtained by fitting the respective models. Moreover, the “goodness of fit” of the respective models has been tested by using Chi-square test statistic. It is demonstrated from the study that both the models are valid for analyzing the growth and trend patterns of the sugarcane yield. Furthermore, the coefficients of determination (R2), for the fitted models, are also computed to judge their suitability for exploring the trend patterns of sugarcane yield in the concerned states of India.

⓿ The growth and trend patterns of sugarcane yield are analyzed for the selected states of India.

⓿ The present study is based on secondary time series data pertaining to the period 2010-2011 to 2019-2020.

⓿ The study revealed that the linear and exponential models are suitable for examining the trend pattern of sugarcane yield in the concerned states of India.

Keywords

Time series modeling, Linear model, Exponential model, Chi-square test, Coefficient of determination