After rethinking my problem with finding outliers in some GPS/SONAR data i started to wonder if i even need to do a statistical test for outliers at all. What i am trying to do is identify potentially erroneous readings and remove them from the data.
if i were to remove a valid data point the impact on the resulting chart would be virtually nothing (i would be removing one of thousands of data points) therefore i wonder if all i need to do is to simply indentify suspicious data and toss it out? if it was bad, then i will markedly improve my map. if it was good i will hardly degrade the map at all.
i will try a test of this over the weekend to see what happens if i remove some valid data.
any thoughts??
jerry
if i were to remove a valid data point the impact on the resulting chart would be virtually nothing (i would be removing one of thousands of data points) therefore i wonder if all i need to do is to simply indentify suspicious data and toss it out? if it was bad, then i will markedly improve my map. if it was good i will hardly degrade the map at all.
i will try a test of this over the weekend to see what happens if i remove some valid data.
any thoughts??
jerry