In survey methodology, Poisson sampling (sometimes denoted as PO sampling: 61 ) is a sampling process where each element of the population is subjected...

some areas of the pixel and lacking in others. The Poisson disk sampling algorithm places the samples randomly, but then checks that any two are not too...

dispersion Negative binomial distribution Poisson clumping Poisson point process Poisson regression Poisson sampling Poisson wavelet Queueing theory Renewal theory...

In the theory of finite population sampling, Bernoulli sampling is a sampling process where each element of the population is subjected to an independent...

1/2. The pps sampling results in a fixed sample size n (as opposed to Poisson sampling which is similar but results in a random sample size with expectancy...

relatively accurate even for medium sample sizes.: 176  For when the sampling has a random sample size (as in Poisson sampling), it is as follows:: 182  V (...

equivalent to Poisson sampling. Using this model, the following equation for the variance of the sampling error in the mass concentration in a sample was derived...

business and medical research, sampling is widely used for gathering information about a population. Acceptance sampling is used to determine if a production...

variables sampled from the zero-truncated Poisson distribution may be achieved using algorithms derived from Poisson distribution sampling algorithms...

sampling Nonprobability sampling Opinion poll Quantitative marketing research Sampling design Bernoulli sampling Poisson sampling Yates, Daniel S.; David...

statistics and related fields, a Poisson point process (also known as: Poisson random measure, Poisson random point field and Poisson point field) is a type of...

Bernoulli sampling Bernoulli distribution Binomial distribution Binomial coefficient Binomial proportion confidence interval Poisson sampling Sampling design...

Nyquist–Shannon sampling theorem is an essential principle for digital signal processing linking the frequency range of a signal and the sample rate required...

sample (e.g. Poisson sampling), statistical adjustments of the data for non-coverage or non-response, and many others. Stratified sampling can yield Deff...

statistics, Poisson regression is a generalized linear model form of regression analysis used to model count data and contingency tables. Poisson regression...

species were there? Fossil bias and true richness estimated using a Poisson sampling model". Philosophical Transactions of the Royal Society B: Biological...

discrete samples of the original function. The Poisson summation formula was discovered by Siméon Denis Poisson and is sometimes called Poisson resummation...

methods for generating independent samples: Rejection sampling for arbitrary density functions Inverse transform sampling for distributions whose CDF is known...

During sampling of heterogeneous mixtures of particles, the variance of the sampling error is generally non-zero. Pierre Gy derived, from the Poisson sampling...

Poisson sampling Poisson scatter theorem Poisson random measure Poisson-type random measure Poisson regression Fixed-effect Poisson model Poisson limit...

Accelerated failure time model Acceptable quality limit Acceptance sampling Accidental sampling Accuracy and precision Accuracy paradox Acquiescence bias Actuarial...

p {\displaystyle \mu /p} , with the distribution becoming identical to Poisson in the limit p → 1 {\displaystyle p\to 1} for a given mean μ {\displaystyle...

In statistics, stratified sampling is a method of sampling from a population which can be partitioned into subpopulations. In statistical surveys, when...

error, etc.) to sample estimates. This technique allows estimation of the sampling distribution of almost any statistic using random sampling methods. Bootstrapping...

This sampling scheme does not require more samples for more dimensions (variables); this independence is one of the main advantages of this sampling scheme...

model the number of successes in a sample of size n drawn with replacement from a population of size N. If the sampling is carried out without replacement...

by Louis Bachelier to study price changes on the Paris Bourse, and the Poisson process, used by A. K. Erlang to study the number of phone calls occurring...

statistical method for estimating the sampling distribution of an estimator by sampling with replacement from the original sample, most often with the purpose...

extinction attempt to counteract sampling biases when estimating diversity loss or extinction rates. Depending on the sampling method or the taxonomic group...

In statistics, Gibbs sampling or a Gibbs sampler is a Markov chain Monte Carlo (MCMC) algorithm for sampling from a specified multivariate probability...