Testing of Estimations of Dairy Sector Parameters – An Application of Limited Information Maximum Likelihood (LIML) Estimation
| Vol-3 | Issue-10 | October 2018 | Published Online: 10 October 2018 PDF ( 585 KB ) | ||
| Author(s) | ||
| Samir B. Pandya 1; Dr. C. D. Bhavsar 2 | ||
|
1Research Scholar, Statistics, A. A. Patel Commerce College, Gandhinagar, Gujarat (India) 2Research Guide, Professor, Department of Statistics, Gujarat University, Ahmedabad, Gujarat (India) |
||
| Abstract | ||
The statistical inference about the prediction required two main things to study. First it should be error free or outlier free and second that it must be normally behave. Nature of data can be tested before predicting the future out comes. This research is tested for dairy sector of Gujarat state. In general the nature of each of the parameter is differentiating with each other; thus, it caused to abnormal in nature. In other words the data are compiled with higher residuals and not normal in terms of significance for future aspects. It required to transforms – this research is carried out with support of limited information maximum likelihood estimation to determined best results of dairy sector model. |
||
| Keywords | ||
| Estimations, Limited Information Maximum Likelihood | ||
|
Statistics
Article View: 644
|
||

