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John 15 is the fifteenth chapter in the Gospel of John in the New Testament section of the Christian Bible. It is part of what New Testament scholars have called the ' farewell discourse ' of Jesus. It has historically been a source of Christian teaching and Christological debate and reflection, and its images (particularly of Jesus as the vine ...
Given an r-sample statistic, one can create an n-sample statistic by something similar to bootstrapping (taking the average of the statistic over all subsamples of size r). This procedure is known to have certain good properties and the result is a U-statistic. The sample mean and sample variance are of this form, for r = 1 and r = 2.
Best linear unbiased predictions" (BLUPs) of random effects are similar to best linear unbiased estimates (BLUEs) (see Gauss–Markov theorem) of fixed effects. The distinction arises because it is conventional to talk about estimating fixed effects but about predicting random effects, but the two terms are otherwise equivalent. (This is a bit ...
John 15:1–17 reads in the Douay–Rheims Bible: [15] I am the true vine; and my Father is the husbandman. Every branch in me, that beareth not fruit, he will take away: and every one that beareth fruit, he will purge it, that it may bring forth more fruit. Now you are clean by reason of the word, which I have spoken to you. Abide in me, and I ...
Given a sample of size , a jackknife estimator can be built by aggregating the parameter estimates from each subsample of size () obtained by omitting one observation. [ 1 ] The jackknife technique was developed by Maurice Quenouille (1924–1973) from 1949 and refined in 1956.
A new analysis shows that building a California water tunnel would cost $20 billion. State officials say the project's benefits would far outweigh the costs.
A probability sample is a sample in which every unit in the population has a chance (greater than zero) of being selected in the sample, and this probability can be accurately determined. The combination of these traits makes it possible to produce unbiased estimates of population totals, by weighting sampled units according to their ...
The first known use of the ratio estimator was by John Graunt in England who in 1662 was the first to estimate the ratio y/x where y represented the total population and x the known total number of registered births in the same areas during the preceding year.