Year: 2024 | Month: September | Volume 69 | Issue 3
Statistical Modeling and Trend Analysis of Sugarcane Yield in the States of India
Manish Kumar
Shiv Kumar Rana
S. Vivek Menon
DOI:10.46852/0424-2513.4.2024.2
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.
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