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Two-stage least squares, a regression technique used in fields such as econometrics.
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ABC stands for Approximate Bayesian Computation. It is a computational technique for approximately simulating from a posterior distribution.
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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 the means of groups of related data. The independent variables in an ANOVA model are categorical, but an …
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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…
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Asymptotic theory studies the properties of estimators and test statistics when the sample size approaches infinity.
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an acronym for Area Under Curve.
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the correlation of a series of data with itself at some lag. This is an important topic particularly in the analysis of time-series data.
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a stochastic process modelling time series, which specifies the value of the series linearly in terms of the previous values.
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Average most often refers to the arithmetic mean, but more generally to measures of central tendency that use most, or all, of the data values. Examples include trimmed mean, Winsorized mean, harmonic…