Is there an exact solution for this re-sampling problem?

1. Why is re sampling done?
2. Which resampling method to use?
3. Is resampling done with replacement?
4. What are the two types of resampling?

Why is re sampling done?

Resampling is a series of techniques used in statistics to gather more information about a sample. This can include retaking a sample or estimating its accuracy. With these additional techniques, resampling often improves the overall accuracy and estimates any uncertainty within a population.

Which resampling method to use?

Most popularly used resampling methods are nearest neighbor, bilinear and bicubic besides aggregated average, pixel resize and weighted average methods of resampling.

Is resampling done with replacement?

Resampling involves the selection of randomized cases with replacement from the original data sample in such a manner that each number of the sample drawn has a number of cases that are similar to the original data sample.

What are the two types of resampling?

There are four main types of resampling methods: randomization, Monte Carlo, bootstrap, and jackknife. These methods can be used to build the distribution of a statistic based on our data, which can then be used to generate confidence intervals on a parameter estimate.