User:Amatdiou/Books/Regression analysis

From Wikipedia, the free encyclopedia
Jump to: navigation, search

Please select an appropriate cover image for this book. See "Template:Saved book" for instructions."
This user book is a user-generated collection of Wikipedia articles that can be easily saved, rendered electronically, and ordered as a printed book. If you are the creator of this book and need help, see Help:Books (general tips) and WikiProject Wikipedia-Books (questions and assistance).

Edit this book: Book Creator · Wikitext
Select format to download: EPUB · ODT · PDF (A4) · PDF (Letter) · ZIM
Order a printed copy from these publishers: PediaPress
About ] [ Advanced ] [ FAQ ] [ Feedback ] [ Help ] [ WikiProject ] [ Recent Changes ]


Regression analysis[edit]

Category
Regression analysis
Outline of regression analysis
Regression analysis
Additive model
Antecedent variable
Autocorrelation
Backfitting algorithm
Bayesian linear regression
Bayesian multivariate linear regression
Calibration (statistics)
Canonical analysis
Causal inference
Censored regression model
CHAID
Coefficient of determination
Comparison of general and generalized linear models
Component analysis (statistics)
Compressed sensing
Conditional change model
Controlling for a variable
Cross-sectional regression
Curve fitting
Deming regression
Dependent and independent variables
Design matrix
Difference in differences
Dummy variable (statistics)
Elastic net regularization
Errors and residuals in statistics
Errors-in-variables models
Explained sum of squares
Explained variation
Factor regression model
First-hitting-time model
Fixed effects model
Fraction of variance unexplained
Frisch–Waugh–Lovell theorem
General linear model
Generalized estimating equation
Generalized least squares
Generalized linear model
Growth curve
Guess value
Hat matrix
Heckman correction
Heteroscedasticity-consistent standard errors
Hierarchical generalized linear model
Hosmer–Lemeshow test
Influential observation
Instrumental variable
Interaction (statistics)
Isotonic regression
Iteratively reweighted least squares
Kitchen sink regression
Lack-of-fit sum of squares
Least squares
Leverage (statistics)
Limited dependent variable
Linear least squares (mathematics)
Linear model
Linear regression
Local regression
Mallows's Cp
Mean and predicted response
Meta-regression
Mixed model
Moderated mediation
Moderation (statistics)
Moving least squares
Multicollinearity
Multinomial logistic regression
Multinomial probit
Multiple correlation
Multivariate adaptive regression splines
Multivariate probit model
Newey–West estimator
Non-linear least squares
Nonlinear regression
Nonparametric regression
Omitted-variable bias
Optimal design
Ordered logit
Ordinal regression
Ordinary least squares
Overfitting
Partial least squares regression
Partition of sums of squares
Path analysis (statistics)
Path coefficient
Poisson regression
Policy capturing
Polynomial and rational function modeling
Polynomial regression
Prediction interval
Principal component regression
Principle of marginality
Probit model
Projection pursuit regression
Proofs involving ordinary least squares
Propensity score matching
Proper linear model
Proportional hazards model
Pyrrho's lemma
Quantile regression
Radial basis function network
Random multinomial logit
Regression dilution
Regression model validation
Regression toward the mean
Residual sum of squares
Robust regression
Savitzky–Golay filter for smoothing and differentiation
Scatterplot smoothing
Seemingly unrelated regressions
Segmented regression
Semiparametric regression
Separation (statistics)
Simple linear regression
Sinusoidal model
Sliced inverse regression
Smearing retransformation
Smoothing spline
Sobel test
Specification (regression)
Standardized coefficient
Stepwise regression
Structural equation modeling
Tobit model
Total least squares
Total sum of squares
Trend analysis
Truncated regression model
Unit-weighted regression
Variable rules analysis
Virtual sensing
Zero-inflated model
Category
Choice modelling
Choice modelling
Discrete choice
MaxDiff
Preference regression
Preference-rank translation
Category
Generalized linear models
Binomial regression
Generalized additive model
Generalized additive model for location, scale and shape
Generalized linear array model
Generalized linear mixed model
Linear probability model
Category
Least squares
Discrete least squares meshless method
Gauss–Newton algorithm
Least squares (function approximation)
Least squares support vector machine
Levenberg–Marquardt algorithm
Mean squared error
Non-linear iterative partial least squares
Numerical smoothing and differentiation
Category
Nonparametric regression
Category
Statistical outliers
Outlier
Anomaly detection
Box plot
Chauvenet's criterion
Cook's distance
Dixon's Q test
Grubbs' test for outliers
Local outlier factor
Outliers ratio
Peirce's criterion
RANSAC
Studentized residual
Category
Regression and curve fitting software
CumFreq
DataScene
Fityk
GraphPad Prism
Gretl
IGOR Pro
LabPlot
MagicPlot
Mathematica
Origin (software)
PeakFit
QtiPlot
Regression Analysis of Time Series
SegReg
SHAZAM (software)
SimFiT
TableCurve 2D
Category
Regression diagnostics
Breusch–Godfrey test
Breusch–Pagan test
Chow test
DFFITS
Goldfeld–Quandt test
Park test
Partial leverage
Partial regression plot
Partial residual plot
Portmanteau test
PRESS statistic
Ramsey RESET test
Regression diagnostic
Variance inflation factor
White test
Category
Regression variable selection
Akaike information criterion
Bayesian information criterion
Cross-validation (statistics)
Deviance information criterion
Focused information criterion
Freedman's paradox
Group method of data handling
Hannan–Quinn information criterion
Least-angle regression
Model selection
Category
Nonparametric regression
Category
Regression with time series structure
Cochrane–Orcutt estimation
Prais–Winsten estimation
Time-series regression
Unit root
Category
Robust regression
Least absolute deviations
Least trimmed squares
M-estimator
Theil–Sen estimator