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...ssion]] model. However, the term is also used in [[time series analysis]] with a different meaning. In each case, the designation "linear" is used to iden ==Linear regression models== ...

...leterious effect.<ref name=LB/> This portmanteau test is useful in working with [[ARIMA]] models. ...=Enders |first=W. |authorlink=Walter Enders|title=Applied Econometric Time Series |url=https://archive.org/details/appliedeconometr00ende_724 |url-access=lim ...

{{Short description|Category of regression analysis}} {{Regression bar}} ...

...set of longitudinal data where observations are for the same subjects each time. ...r, one time point for the latter). A literature search often involves time series, cross-sectional, or panel data. ...

...doi = 10.1080/01621459.1949.10483290| title = Application of Least Squares Regression to Relationships Containing Auto-Correlated Error Terms| journal = [[Journa ...]]s at time ''t'', and <math>\varepsilon_t</math> is the [[error term]] at time ''t''. ...

An '''[[arch]]''' is a curved structure capable of spanning a space while supporting significant weight. * [[Arch (name)]], a list of people with the given name or surname ...

...Projection Pursuit? | journal = Journal of the Royal Statistical Society, Series A | year = 1987 | volume = 150 | issue = 1 | pages = 1–37 | jstor = 2981662 ...al space]] to low-dimensional space that reveal the most details about the structure of the data set. Once an interesting set of projections has been found, exi ...

...s method, which measures error parallel to the ''y'' axis. The case shown, with deviations measured perpendicularly, arises when errors in ''x'' and ''y'' ...]], which allows for any number of predictors and a more complicated error structure. ...

...]]s) that can cause problems in [[statistical inference]] involving [[time series]] [[model (abstract)|models]]. A linear [[stochastic process]] has a unit r ...uk/~burke/Autocorrelation/Non-Stationary%20Series.pdf|title=Non-Stationary Series|last=|first=|date=|website=|publisher=|access-date=|archive-date=2014-06-11 ...

...observational study|observational studies]] <br /> [[Partial least squares regression]] ...en]]. Wold was known for his work in [[mathematical economics]], in [[time series]] analysis, and in [[econometric]] statistics. ...

...uris weather station (France) from 1960/01/01 to 1960/02/29. Smoothed data with alpha factor = 0.1.]] ...lt, whereas the immediate results from smoothing are the "smoothed" values with no later use made of a functional form if there is one; ...

...e of the most influential sociology texts ever written. Many people at the time referred to this book as the "Bible of Sociology". This book represented th ...ed, it is the slum area itself, and not the particular group living there, with which social pathologies are associated. ...

...occur when the [[information]] gathered tends to increase or decrease over time or is influenced by changes in an external factor. Linear trend estimation ...he measured data) on the vertical axis and the independent variable (often time) on the horizontal axis. ...

...tion.com/student/subjects/what-can-you-do-economics-degree What can you do with an economics degree?] {{Webarchive|url=https://web.archive.org/web/20201030 ==Structure== ...

{{Regression bar}} ...of [[correlation]] between the [[Residual (statistics)|residuals]] in the regression model. GLS is employed to improve [[efficiency_(statistics)|statistical eff ...

In addition, multivariate statistics is concerned with multivariate [[probability distribution]]s, in terms of both ...be special cases of multivariate statistics because the analysis is dealt with by considering the (univariate) conditional distribution of a single outcom ...

{{Short description|Process of replacing missing data with substituted values}} ...egression imputation]]; [[#Hot-deck|last observation carried forward]]; [[#Regression|stochastic imputation]]; and [[#Multiple imputation|multiple imputation]]. ...

One aspect often used to structure the overall body of event studies is the breadth of the studied event types ...can be constructed using security prices observed over a relatively short time period". It is important to note that [[short-horizon]] event studies are m ...

{{short description|Moving average and polynomial regression method for smoothing data}} ....svg|thumb|LOESS curve fitted to a population sampled from a [[sine wave]] with uniform noise added. The LOESS curve approximates the original sine wave.]] ...

...achine learning]] algorithms. It supports common models such as [[logistic regression]] and other [[feedforward neural network]]s. Version 0.9 was published in ...rm of an [[XML Schema (W3C)|XML schema]]. PMML itself is a mature standard with over 30 organizations having announced products supporting PMML.<ref>{{cite ...