[ai-geostats] Continuing discussion on F and t tests

2004-12-07 Thread Donald E. Myers
The sample variance (assuming that you use the n-1 divisor) is an unbiased estimator of the population variance provided you use random sampling. Note the ing on the word sampling, it is not quite correct to talk about random samples or independent samples. or at least it may be mis-leading.

RE: [ai-geostats] Continuing discussion on F and t tests

2004-12-07 Thread Colin Daly
Title: RE: [ai-geostats] Continuing discussion on F and t tests I'd agree with Don's point about the sample variance being unbaised under random sampling. Because of the linearity of the estimate, the lack of independence of samples is not a problem here. This should not be confused

Re: [ai-geostats] Continuing discussion on F and t tests

2004-12-07 Thread Meng-Ying Li
Thanks Donald, I think what you mean by adequately is the sampling with CSR (complete spatial randomness) -- please correct me if I'm wrong. But I still have problem about estimating the variance. I mean, even if we sample with CSR, wouldn't the sample variance still be smaller than the sill