linear prediction analysis
21Comparison of general and generalized linear models — General linear model Generalized linear model Typical estimation method Least squares, best linear unbiased prediction Maximum likelihood or Bayesian Special cases ANOVA, ANCOVA, MANOVA, MANCOVA, ordinary linear regression, mixed model, t test, F …
22Proper linear model — In statistics, a proper linear model is a linear model in which the weights given to the predictor variables are chosen in such a way as to optimize the relationship between the prediction and the criterion. Simple regression analysis is the most …
23Principal Component Analysis — Hauptkomponentenanalyse als Faktorenanalyse: Zwei Hauptkomponenten einer zweidimensionalen Punktwolke (orthogonal rotiert) Die Hauptkomponentenanalyse (englisch: Principal Component Analysis, PCA) ist ein Verfahren der multivariaten Statistik.… …
24Distributed multipole analysis — (DMA) is a compact and accurate way of describing the spatial distribution of electric charge within a molecule. The DMA method was devised by Prof. Anthony Stone of Cambridge University to describe the charge distribution of a molecule in terms… …
25List of statistics topics — Please add any Wikipedia articles related to statistics that are not already on this list.The Related changes link in the margin of this page (below search) leads to a list of the most recent changes to the articles listed below. To see the most… …
26Confidence band — A confidence band is used in statistical analysis to represent the uncertainty in an estimate of a curve or function based on limited or noisy data. Confidence bands are often used as part of the graphical presentation of results in a statistical …
27Vocoder — A vocoder (  /ˈvoʊk …
28Ordinary least squares — This article is about the statistical properties of unweighted linear regression analysis. For more general regression analysis, see regression analysis. For linear regression on a single variable, see simple linear regression. For the… …
29Kriging — is a group of geostatistical techniques to interpolate the value of a random field (e.g., the elevation, z , of the landscape as a function of the geographic location) at an unobserved location from observations of its value at nearby locations.… …
30Forecasting — is the process of estimation in unknown situations. Prediction is a similar, but more general term. Both can refer to estimation of time series, cross sectional or longitudinal data. Usage can differ between areas of application: for example in… …
