Sentence examples for following probability sampling from inspiring English sources

Applications of models in large-area forest surveys often use the model-assisted estimation framework (Särndal et al. 1992) where a model is used to support the estimation following probability sampling within the context of design-based inference (Gregoire 1998).

This sample is or is not accepted according to the Metropolis algorithm, which evaluates the posterior probability of the candidate sample in comparison to that of the previous sample and defines the following probability of acceptance [31]: A ( s ′ k, s k = min ( 1, p ( s ′ k | z 1 : k ) p ( s k z 1 : k ) (4).

To do this, we calculate the following probability for a given seed match pattern, a, which has say k occurrences among n positive samples.

If we randomly draw n samples from a finite set, the probability of getting i samples with the desired feature by chance obeys the hypergeometric distribution with the following probability mass function: (4) f i = k i N - K n - i N n Where N is the size of the set, K is the number of items with the desired feature in the set.

This has the following probability: (16).

where Y is one of the following probabilities for the entire sample: probability of (1) being in a couple (either married or cohabiting), or (2) being married (versus unmarried).

We obtained the following probabilities of nullity for each coefficient: probability (constant = 0) = 0, probability (β = 0) = 0, probability (γ = 0) = 0.698.

Most governmental and professional polling surveys employ probability sampling.

Sampford sampling is a method for unequal probability sampling.

Inverse probability sampling weights were used.

We accomplished this using a bootstrap method involving resampling n samples from the ground plot data with replacement using equal probability sampling, following recommendations from McRoberts et al. (2011) and based on work by Efron and Tibshirani (1986).