Volume : VI, Issue : V, May - 2017
Jackknife Method to Estimate the Confidence Intervals about an R-squared statistic Using SAS Software
Hasan Talib Hendi
Abstract :
Re-sampling methods cover a range of ideas. All of them involve taking a sample and using it as our basis for drawing new samples, hence the name ‘Resampling’. We sample from our sample, in one way or another. There are several ways in which we can ‘resample’. We can draw ‘randomly’ from our sample, or we can draw designed subsets from our sample. Also, we can pull the data but exchange the labels on the data points. For example in bootstrapping, we want to approximate the entire sampling distribution of some estimator. We can do that by resampling from our original sample.
In this dissertation we focus on generating samples by resampling techniques by jack-knifing, perform regression analysis for generated samples and then estimate the confidence intervals about an R squared statistic by using SAS software[1].
Keywords :
Article:
Download PDF
DOI : https://www.doi.org/10.36106/gjra
Cite This Article:
Hasan Talib Hendi, Jackknife Method to Estimate the Confidence Intervals about an R-squared statistic Using SAS Software, GLOBAL JOURNAL FOR RESEARCH ANALYSIS : VOLUME-6 | Issue‾5 | May‾2017
Number of Downloads : 507
References :
Hasan Talib Hendi, Jackknife Method to Estimate the Confidence Intervals about an R-squared statistic Using SAS Software, GLOBAL JOURNAL FOR RESEARCH ANALYSIS : VOLUME-6 | Issue‾5 | May‾2017