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Moving average and polynomial regression method for smoothing data
Local regression or local polynomial regression, also known as moving regression, is a generalization of the moving average and polynomial regression
Local_regression
Statistical technique
Savitzky–Golay filter Kernel methods Kernel density estimation Local regression Kernel regression Li, Q. and J.S. Racine. Nonparametric Econometrics: Theory
Kernel_smoother
Category of regression analysis
Nonparametric regression is a form of regression analysis where the predictor does not take a predetermined form but is completely constructed using information
Nonparametric_regression
Concept in statistical mathematics
Segmented regression, also known as piecewise regression or broken-stick regression, is a method in regression analysis in which the independent variable
Segmented_regression
secure 500 signatures (often referred to as parrainages) from national or local elected officials from at least 30 different departments or overseas collectivities
2027 French presidential election
2027_French_presidential_election
trends from the 2022 elections until the next election day using a local regression. Scenario polls are not included here. For parties not crossing the
2026 Israeli legislative election
2026_Israeli_legislative_election
Set of statistical processes for estimating the relationships among variables
called regressors, predictors, covariates, explanatory variables or features). The most common form of regression analysis is linear regression, in which
Regression_analysis
German state election
Berlin state election, the Greens the local 2024 European Parliament elections, and The Left prevailed in the local 2025 German federal election. Polls
2026_Berlin_state_election
Statistics concept
In statistics, polynomial regression is a form of regression analysis in which the relationship between the independent variable x and the dependent variable
Polynomial_regression
American computer scientist (1943–2026)
William S., and Susan J. Devlin. "Locally weighted regression: an approach to regression analysis by local fitting." Journal of the American Statistical Association
William_S._Cleveland
Opinion polling for the 2029 German federal election using Local regression (LOESS) of polls conducted.
Next_German_federal_election
Local regression trend line of poll results from 25 September 2022 to the election day, with each line corresponding to the next general election party
Next_Italian_general_election
Regression analysis
In statistics, nonlinear regression is a form of regression analysis in which observational data are modeled by a function which is a nonlinear combination
Nonlinear_regression
Provincial election in Canada
Overall Polling with a local regression (LOESS) trend line for each party and a monthly average.
2026 British Columbia general election
2026_British_Columbia_general_election
Local regression of polls conducted between the 2022 and 2027 presidential election.
Opinion polling for the 2027 French presidential election
Opinion_polling_for_the_2027_French_presidential_election
Technique in statistics
perform kernel regression. Stata: npregress, kernreg2 Kernel smoother Local regression Nadaraya, E. A. (1964). "On Estimating Regression". Theory of Probability
Kernel_regression
Software bug in which features stop working
can include unit tests to catch local regressions as well as integration tests to catch remote regressions. Regression testing techniques often leverage
Software_regression
Local regression chart of poll results from 17 December 2023 to the present day
Opinion polling for the 2026 Serbian parliamentary election
Opinion_polling_for_the_2026_Serbian_parliamentary_election
Statistical modeling technique
Quantile regression is a type of regression analysis used in statistics and econometrics. Whereas the method of least squares estimates the conditional
Quantile_regression
Election in Bremen, Germany
Local regression of polls conducted
2027_Bremen_state_election
Statistical modeling method
is a simple linear regression; a model with two or more explanatory variables is a multiple linear regression. In linear regression, the relationships
Linear_regression
Method for estimating the unknown parameters in a linear regression model
especially in the case of a simple linear regression, in which there is a single regressor on the right side of the regression equation. The OLS estimator is consistent
Ordinary_least_squares
Local regression of polls conducted.
Next_Hessian_state_election
German state election
cooperative housing companies and support a nationwide rent cap. Through free local transport for everyone under the age of 21, the party promises more social
2026 Mecklenburg-Vorpommern state election
2026_Mecklenburg-Vorpommern_state_election
alphabetical order by name of institute. Local regression of polls conducted since the 2022 legislative election Local regression of polls conducted since the election
Opinion polling for the 2024 French legislative election
Opinion_polling_for_the_2024_French_legislative_election
Local regression of polls conducted, excluding "none of the above"
Next Bulgarian parliamentary election
Next_Bulgarian_parliamentary_election
Upcoming German state election
Local regression of polls conducted
2027 Lower Saxony state election
2027_Lower_Saxony_state_election
include the Free Voters (FW), a general name used by unaffiliated groups in local elections, which was adopted by a party that is present in three state parliaments
Opinion polling for the next German federal election
Opinion_polling_for_the_next_German_federal_election
Regularization technique for ill-posed problems
Ridge regression (also known as Tikhonov regularization, named for Andrey Tikhonov) is a method of estimating the coefficients of multiple-regression models
Ridge_regression
Selection of the Republican Party nominee
Local regression graph of all polls conducted after the 2024 election
2028 Republican Party presidential primaries
2028_Republican_Party_presidential_primaries
State election in Germany
Local regression of polls conducted since the 2022 state election.
2027 North Rhine-Westphalia state election
2027_North_Rhine-Westphalia_state_election
Regression analysis for modeling ordinal data
In statistics, ordinal regression, also called ordinal classification, is a type of regression analysis used for predicting an ordinal variable, i.e.
Ordinal_regression
Local regression of the voter intention polling for the next Austrian legislative election.
Next Austrian legislative election
Next_Austrian_legislative_election
ultimately elected as president. On 8 October 2023, the first round of local (municipal and regional) elections was held, followed by the second round
Next Greek parliamentary election
Next_Greek_parliamentary_election
Fitting an approximating function to data
algorithms are used in smoothing, most commonly binning, kernels, and local weighted regression. Smoothing may be distinguished from the related and partially
Smoothing
speculation emerged that the election would be held concurrently with the local and regional elections in May 2027, but this was promptly rejected by Sánchez
Next_Spanish_general_election
German state election
representation. Every voter has two votes, one for a candidate in their local constituency and one for a candidate in their regional district. Both votes
2028_Bavarian_state_election
Local regression chart of poll results up to 7 February 2025
Next Estonian parliamentary election
Next_Estonian_parliamentary_election
German state election
Local regression of polls conducted, plus election result.
2026 Rhineland-Palatinate state election
2026_Rhineland-Palatinate_state_election
Specialized form of regression analysis, in statistics
In robust statistics, robust regression seeks to overcome some limitations of traditional regression analysis. A regression analysis models the relationship
Robust_regression
Statistical model for a binary dependent variable
combination of one or more independent variables. In regression analysis, logistic regression (or logit regression) estimates the parameters of a logistic model
Logistic_regression
Interface between statistics and computer science
methods including resampling methods, Markov chain Monte Carlo methods, local regression, kernel density estimation, artificial neural networks and generalized
Computational_statistics
Statistical model for count data
Poisson regression is a generalized linear model form of regression analysis used to model count data and contingency tables. Poisson regression assumes
Poisson_regression
Type of numerical analysis
In statistics and numerical analysis, isotonic regression or monotonic regression is the technique of fitting a free-form line to a sequence of observations
Isotonic_regression
Multiple linear regression, also known as multivariable linear regression, is a generalization of simple linear regression to the case of more than one
Multiple_linear_regression
Overview of and topical guide to regression analysis
outline is provided as an overview of and topical guide to regression analysis: Regression analysis – use of statistical techniques for learning about
Outline of regression analysis
Outline_of_regression_analysis
Philosophical problem
Infinite regress is a philosophical concept to describe a series of entities. Each entity in the series depends on its predecessor, following a recursive
Infinite_regress
present on the voting ballot. The Republic Electoral Commission (RIK), local election commissions, and polling boards oversee the election. Seats are
2026 Serbian parliamentary election
2026_Serbian_parliamentary_election
German state election
Local regression of polls conducted.
2023_Berlin_state_election
German state election
Local regression of polls conducted.
2022 North Rhine-Westphalia state election
2022_North_Rhine-Westphalia_state_election
Canadian provincial election
Period Polling with a local regression (LOESS) trend line for each party and a 5 day average Overall Polling with a local regression (LOESS) trend line for
2024 British Columbia general election
2024_British_Columbia_general_election
Non-parametric regression technique
adaptive regression splines (MARS) is a form of regression analysis introduced by Jerome H. Friedman in 1991. It is a non-parametric regression technique
Multivariate adaptive regression spline
Multivariate_adaptive_regression_spline
Election in the Spanish region of Catalonia
Local regression trend line of poll results from 12 May 2024 to the present day, with each line corresponding to a political party.
Next Catalan regional election
Next_Catalan_regional_election
Statistical method
Bockerman et al. (2018). Note that regression kinks (or kinked regression) can also mean a type of segmented regression, which is a different type of analysis
Regression discontinuity design
Regression_discontinuity_design
Neurobiological time series data software package
constitute a typical study of neurobiological data. These include local regression and smoothing, spike sorting and spectral analysis - including multitaper
Chronux
State election in Germany
running for a state parliament seat; Emil Sänze headed the AfD’s state list. Local public TV station SWR Fernsehen staged a debate on 24 February 2026 as a
2026 Baden-Württemberg state election
2026_Baden-Württemberg_state_election
A local regression graph of all polls conducted.
Next Slovak parliamentary election
Next_Slovak_parliamentary_election
German state election
Local regression of polls conducted.
2022_Saarland_state_election
Canadian provincial election
Overall Polling with a local regression (LOESS) trend line for each party and a monthly average.
32nd_Alberta_general_election
German state election
Local regression of polls conducted.
2021_Berlin_state_election
Type of regression analysis
Symbolic regression (SR) is a type of regression analysis that searches the space of mathematical expressions to find the model that best fits a given
Symbolic_regression
of Mining. Ricardo Yáñez, former general director of Chilean Carabineros Local officials Helmuth Martínez, mayor of Carahue Governors Diego Paco Mamani
2025_Chilean_general_election
Statistical method
squares (PLS) regression is a statistical method that bears some relation to principal components regression and is a reduced rank regression; instead of
Partial least squares regression
Partial_least_squares_regression
Election in the Spanish region of Navarre
with regional elections in at least six other autonomous communities and local elections all across Spain. Under the 1982 Reintegration and Improvement
2027 Navarrese regional election
2027_Navarrese_regional_election
national security) to his name. Local regression of polls conducted since the 2022 legislative election Local regression of polls conducted since the election
2024 French legislative election
2024_French_legislative_election
Local regression trend line of poll results from 21 May 2023 to the present day, with each line corresponding to a political party and a 7-day average
June 2023 Greek parliamentary election
June_2023_Greek_parliamentary_election
Election in the Spanish region of Castilla–La Mancha
with regional elections in at least six other autonomous communities and local elections all across Spain. Under the 1982 Statute of Autonomy, the Cortes
2027 Castilian-Manchegan regional election
2027_Castilian-Manchegan_regional_election
Regression analysis technique
In statistics, binomial regression is a regression analysis technique in which the response (often referred to as Y) has a binomial distribution: it is
Binomial_regression
German state election
Local regression of polls conducted before the 2024 Brandenburg state election
2024 Brandenburg state election
2024_Brandenburg_state_election
Local regression of polls conducted, excluding "none of the above"
2026 Bulgarian parliamentary election
2026_Bulgarian_parliamentary_election
Election in the Spanish region of Madrid
with regional elections in at least six other autonomous communities and local elections all across Spain. Under the 1983 Statute of Autonomy, the Assembly
2027 Madrilenian regional election
2027_Madrilenian_regional_election
Provincial election
Overall Polling with a local regression (LOESS) trend line for each party and a monthly average.
44th Manitoba general election
44th_Manitoba_general_election
Election of Australia's 48th parliament
Australia began in October 2023; responses to the war, particularly among local Jewish and Muslim communities, were perceived as a significant threat to
2025 Australian federal election
2025_Australian_federal_election
Local regression chart of poll results from 21 June 2020 to 3 April 2022
Opinion polling for the 2022 Serbian general election
Opinion_polling_for_the_2022_Serbian_general_election
2024 general election campaign period from 22 May to 4 July with a local regression (LOESS) trend line for each party. Others figures include, importantly
2024 United Kingdom general election
2024_United_Kingdom_general_election
Statistical estimation method
In statistics, specifically regression analysis, a binary regression estimates a relationship between one or more explanatory variables and a single output
Binary_regression
German state election
Local regression of polls conducted.
2022 Schleswig-Holstein state election
2022_Schleswig-Holstein_state_election
to the local police. Following the murder, the suspect tried to behead the victim's body with an axe but eventually gave up and went to a local healthcare
2022 Brazilian general election
2022_Brazilian_general_election
Linear regression model with a single explanatory variable
In statistics, simple linear regression (SLR) is a linear regression model with a single explanatory variable. That is, it concerns two-dimensional sample
Simple_linear_regression
American statistician
has contributed to highly-cited research on robust statistics and local regression. Devlin earned a bachelor's degree in mathematics from William Smith
Susan_J._Devlin
know" are removed, where relevant. The following graph displays a local regression of all polls. The following two graphs present the polls that are government-aligned
Opinion polling for the 2026 Hungarian parliamentary election
Opinion_polling_for_the_2026_Hungarian_parliamentary_election
Statistical tool used in meta-analyses
Meta-regression is a meta-analysis that uses regression analysis to combine, compare, and synthesize research findings from multiple studies while adjusting
Meta-regression
Election in the Spanish region of Murcia
with regional elections in at least six other autonomous communities and local elections all across Spain. The Regional Assembly of Murcia is the devolved
2027 Murcian regional election
2027_Murcian_regional_election
Type of machine learning method
K-nearest neighbors, which is a special case of instance-based learning. Local regression. Lazy naive Bayes rules, which are extensively used in commercial spam
Lazy_learning
Type of statistical measure over subsets of a dataset
Commons has media related to Moving averages. Exponential smoothing Local regression (LOESS and LOWESS) Kernel smoothing Moving average convergence/divergence
Moving_average
number of seats is calculated as a percentage of the 120 total seats. Local regression of polls conducted The official body administering the elections, the
2022 Israeli legislative election
2022_Israeli_legislative_election
Election in Germany
Langebrück-1 had returned a similarly unusual figure of 13.4% in June 2024 local elections. Police confirmed that 154 manipulated postal ballots from that
2024_Saxony_state_election
A local regression graph of all polls conducted
Opinion polling for the next Slovak parliamentary election
Opinion_polling_for_the_next_Slovak_parliamentary_election
"Swedish parliament rejects centre-right PM candidate Ulf Kristersson". The Local Sweden. 14 November 2018. Archived from the original on 31 August 2022.
2022_Swedish_general_election
Statistical technique
used for estimating the unknown regression coefficients in a standard linear regression model. In PCR, instead of regressing the dependent variable on the
Principal component regression
Principal_component_regression
State election in Lower Saxony, Germany
Local regression of polls conducted
2022 Lower Saxony state election
2022_Lower_Saxony_state_election
Number of values in the final calculation of a statistic that are free to vary
regression methods, including regularized least squares (e.g., ridge regression), linear smoothers, smoothing splines, and semiparametric regression,
Degrees of freedom (statistics)
Degrees_of_freedom_(statistics)
Election in the Spanish region of the Valencian Community
with regional elections in at least seven other autonomous communities and local elections all across Spain. The 2023 election resulted in a coalition government
Next Valencian regional election
Next_Valencian_regional_election
Regression for more than two discrete outcomes
In statistics, multinomial logistic regression is a classification method that generalizes logistic regression to multiclass problems, i.e. with more than
Multinomial logistic regression
Multinomial_logistic_regression
Regression diagnostic Regression dilution Regression discontinuity design Regression estimation Regression fallacy Regression-kriging Regression model validation
List_of_statistics_articles
Machine learning technique
boosted models as Multiple Additive Regression Trees (MART); Elith et al. describe that approach as "Boosted Regression Trees" (BRT). A popular open-source
Gradient_boosting
Local regression of polls conducted
2023_Hessian_state_election
Theorem related to ordinary least squares
of the Regression Model". Econometric Theory. Oxford: Blackwell. pp. 17–36. ISBN 0-631-17837-6. Goldberger, Arthur (1991). "Classical Regression". A Course
Gauss–Markov_theorem
Local regression of polls conducted
2025 Ecuadorian general election
2025_Ecuadorian_general_election
Statistics concept
regression analysis, are acceptable as descriptions of the data. The validation process can involve analyzing the goodness of fit of the regression,
Regression_validation
travel, tourism, insurance
LOCAL REGRESSION
LOCAL REGRESSION
Boy/Male
Irish
Loyal.
Boy/Male
Arabic
Loyal
Boy/Male
American, British, English
Loyal
Boy/Male
American, British, English, Italian
Loyal
Boy/Male
American, Australian, British, English, French
Faithful; True
Girl/Female
Indian
Loyal
Girl/Female
Muslim
Loyal
Boy/Male
Irish Welsh
Loyal.
Boy/Male
English American
Loyal.
Girl/Female
Arabic, Muslim
Loyal
Boy/Male
Indian
Loyal
Girl/Female
French
Loyal.
Boy/Male
British, English
Loyal
Boy/Male
Irish American Welsh
Loyal.
Boy/Male
English American French
Faithful; unswerving.
Boy/Male
British, English
Loyal
Boy/Male
Irish
Loyal.
Boy/Male
Italian Greek
Loyal.
Boy/Male
Irish Welsh
Loyal.
Boy/Male
British, English
Loyal
LOCAL REGRESSION
LOCAL REGRESSION
LOCAL REGRESSION
LOCAL REGRESSION
LOCAL REGRESSION
LOCAL REGRESSION
LOCAL REGRESSION
v. t.
To divide according to gepgraphical sections or local interests.
a.
Faithful; loyal.
a.
Of or pertaining to a vowel; having the character of a vowel; vowel.
n.
A district or local division, as of a province.
n.
A local European measure of length. See Canna.
a.
Alt. of Loral
n.
On newspaper cant, an item of news relating to the place where the paper is published.
a.
Faithful; loyal; true.
n.
A vocal sound; specifically, a purely vocal element of speech, unmodified except by resonance; a vowel or a diphthong; a tonic element; a tonic; -- distinguished from a subvocal, and a nonvocal.
a.
Uttered or modulated by the voice; oral; as, vocal melody; vocal prayer.
a.
Loyal.
n.
A man who has a right to vote in certain elections.
a.
Of or pertaining to a particular place, or to a definite region or portion of space; restricted to one place or region; as, a local custom.
n.
A principle, practice, form of speech, or other thing of local use, or limited to a locality.
n.
A local name of the burbot.
n.
A train which receives and deposits passengers or freight along the line of the road; a train for the accommodation of a certain district.
a.
Belonging to,or concerning, a focus; as, a focal point.
a.
Consisting of, or characterized by, voice, or tone produced in the larynx, which may be modified, either by resonance, as in the case of the vowels, or by obstructive action, as in certain consonants, such as v, l, etc., or by both, as in the nasals m, n, ng; sonant; intonated; voiced. See Voice, and Vowel, also Guide to Pronunciation, // 199-202.
n.
Vocal expression; articulation; speech.
a.
Confined to no zone or region; not local.
travel, tourism, insurance