Analyse de régression

Topic : Analyse de régression
Source file : RAMEAU
Field : Mathématiques
Variant subject headings : MSC 62Gxx (2000)
MSC 62Jxx (2000)
MSC 62Mxx (2000)
Régression, Analyse de
Regressione lineare (italien)
Régression linéaire
Régression non-linéaire
The year : 2000

related to this theme (16 resources in

Documents on this topic (172 resources in

Documents multimédia (1)

Applied regression analysis

Livres (171)

Linear models and regression with R
Régression avec R
Theory of ridge regression estimators with applications
Robust nonlinear regression
Fading foundations
Statistical regression and classification
The Birnbaum-Saunders distribution
Regression modeling strategies
Statistics for astrophysics
Vector generalized linear and additive models
The art of regression modeling in road safety
Model-free prediction and regression
Data science
Introduction to mixed modelling
Statistical inference for models with multivariate t-distributed errors
Regression methods for medical research
Longitudinal Categorical Data Analysis
Growth curve modeling
Applied logistic regression
Exercices d'économétrie et d'analyse de données
Bayesian and frequentist regression methods
Design of experiments in nonlinear models
Quantile regression for spatial data
Regression analysis under a priori parameter restrictions
Adaptive tests of significance using permutations of residuals with R and SAS
Le modèle linéaire par l'exemple
Regression methods in biostatistics
Short-memory linear processes and econometric applications
Approches non paramétriques en régression
Oracle inequalities in empirical risk minimization and sparse recovery problems
Régression avec R
Operationalizing dynamic pricing models
Applied longitudinal analysis
Oracle inequalities in empirical risk minimization and sparse recovery problems
Handbook of partial least squares
Comparing clinical measurement methods
Regression with linear predictors
MODa 9
Régression avec R
Statistical modelling and regression structures
Logistic regression
Solutions manual to accompany modern regression methods
Clinical prediction models
A modern approach to regression with R
Proportional hazards regression
Handbook of multilevel analysis
Statistical learning from a regression perspective
Linear Models and Generalizations
Functional and operatorial statistics
Recent advances in linear models and related areas
Modèle de régression segmentée à réadaptation des prédicteurs
Multivariable model-building
Spatial regression models
Modeling and interpreting interactive hypotheses in regression analysis
Theory of preliminary test and Stein-type estimation with applications
The coordinate-free approach to linear models
Measurement error models
Dynamic regression models for survival data
Regression analysis by example
Introduction to nonparametric regression
Introduction to linear regression analysis
Le modèle linéaire par l'exemple
Regression methods in biostatistics
Regression methods in biostatistics
Analyse de régression appliquée
Fitting models to biological data using linear and nonlinear regression
Robust regression and outlier detection
Guide pratique d'introduction à la régression en sciences sociales
Methods and applications of linear models
Linear regression analysis
Applied multiple regression/correlation analysis for the behavioral sciences
Semiparametric regression
Linear models
Bayesian methods for nonlinear classification and regression
Lineare Modelle
Regression models for time series analysis
Solutions manual to accompany applied survival analysis
A distribution-free theory of nonparametric regression
Weighted empirical processes in dynamic nonlinear models
Smoothing and regression
Modelling Spatial Processes
Applied survival analysis
Nonparametric regression and spline smoothing
A primer on regression artifacts
Analyse de régression appliquée
Linear models
Les méthodes PLS
Local regression and likelihood
Multivariate reduced-rank regression
Applied regression analysis
Applied regression analysis
La régression PLS
Understanding regression analysis
Random iterative models
Comment interpréter les résultats d'une régression linéaire ?
Linear models
Modèle linéaire
Local polynomial modelling and its applications
LISREL approaches to interaction effects in multiple regression
Regression models
Nonlinear computer modeling of chemical and biochemical data
Testing regression models based on sample survey data
Measurement error in nonlinear models
A partial least squares approach to multiple regression, redundancy analysis and canonical analysis
Nouvelles méthodes de régressions PLS
Applied logistic regression analysis
Analysis of enzyme kinetic data
Nonparametric regression and generalized linear models
Logistic regression
Simultaneous nonparametric regressions
Regression analysis
La régression PLS généralisée
Regression with dummy variables
Nonlinear statistical models
How to use the results of a linear regression
Alternative methods of regression
Random coefficient models
Understanding regression assumptions
Applied multivariate data analysis
Residuals and influence in regression
Estimation and prediction in regression models with random explanatory variables
La régression non-linéaire
Régression non linéaire et applications
Comment interpréter les résultats d'une régression linéaire ?
La régression
Generalized additive models
Conditioning diagnostics
Cómo interpretar los resultados de una regresión lineal ?
Applied multivariate data analysis Volume I
Bayesian estimation and experimental design in linear regression models
Regression diagnostics
Regression analysis
Applied nonparametric regression
Subset selection in regression
Time series analysis
Interaction effects in multiple regression
Nonlinear regression, functional relations and robust methods
Pooled time series analysis
On stepwise procedures for some multiple inference problems
Nonlinear regression
Nonlinear regression analysis and its applications
Order restricted statistical inference
Nonparametric regression analysis of longitudinal data
Applied regression analysis
Plots, transformations, and regression
Comment interpréter les résultats d'une régression linéaire
Regression analysis with applications
Understanding regression analysis
Stochastic parameter regression models
Multiple regression in practice
La Régression
Functional relations, random coefficients, and nonlinear regression with applications to kinetic data
La Régression
Régression linéaire sur micro-ordinateurs
Interpreting and using regression
Applied regression analysis
Recent advances in regression methods
Modèles de régression avec variables muettes explicatives
Optimal design
Applied regression
Data analysis and regression
Linear regression analysis
Theory and application of the linear model
Regression and the Moore-Penrose pseudoinverse
Regression and the Moore-Penrose pseudoinverse
The statistical analysis of failure time data

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Auteur du texte (157)

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