A tag is a keyword or label that categorizes your question with other, similar questions. Using the right tags makes it easier for others to find and answer your question.

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Two-stage least squares, a regression technique used in fields such as econometrics.
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Approximate Bayesian Computation.
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a synonym for incidence. This is a "measure of the rate at which people without a disease develop it during a specific period of time"
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A/B testing, also known as split or bucket testing, is a controlled comparison of the effectiveness of variants of a website, email, or other commercial product.
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Refers to "lumping together" potentially inhomogeneous groups of data. The laws of total expectation and variance (http://en.wikipedia.org/wiki/Law_of_total_expectation and http://en.wikipedia.org/wik…
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AIC stands for the Akaike Information Criterion, which is one technique used to select the best model from a class of models using a penalized likelihood. A smaller AIC implies a better model.
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a a set of one or more computations that will produce a calculated result. All statistics methods are algorithms. Algorithms can be simple, such as calculating a percentage, or can be …
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IBM SPSS AMOS, proprietary structural equation modelling software.
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Analysis of Covariance.
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The A-D test assess the fit of an empirical (observed) distribution to a theoretical one. It is an especially powerful option when the theoretical distribution is the normal. The A-D test can also be …
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a method of multivariate data analysis widely used by community ecologists. It provides a way to test statistically whether there is a significant difference betwe…
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ANOVA stands for ANalysis Of VAriance, a statistical model and set of procedures for comparing multiple group means. The independent variables in an ANOVA model are categorical, but an ANOVA table can…
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Approximations to distributions, functions, or other mathematical objects. To approximate something means to find some representation of it which is simpler in some respect, but not exact.
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Refers to the AutoRegressive Integrated Moving Average model used in time series modeling both for data description and for forecasting. This model generalizes the ARMA model by including a term for d…
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an acronym for auto regressive moving average; a stochastic process modelling time series. It adds moving average terms to the AR model.
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Refers to the conditions under which a statistics procedure yields valid estimates and/or inference. E.g., many statistical techniques require the assumption that the data are randomly sampled in some…