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Regression analysis
Resource Information
The concept ** Regression analysis** represents the subject, aboutness, idea or notion of resources found in **University of Missouri Libraries**.

The Resource
Regression analysis
Resource Information

The concept

**Regression analysis**represents the subject, aboutness, idea or notion of resources found in**University of Missouri Libraries**.- Label
- Regression analysis

- Authority link
- http://id.worldcat.org/fast/01432090

- Source
- fast

## Context

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- A beginner's guide to structural equation modeling
- Adaptive tests of significance using permutations of residuals with R and SAS
- Applied linear regression
- Applied linear regression models
- Applied linear statistical models
- Applied logistic regression
- Applied multivariate statistics with SAS software
- Best fit lines and curves, and some mathe-magical transformations
- Clinical prediction models : a practical approach to development, validation, and updating
- Clustering and unsupervised learning, Part 4, Introduction to real-world machine learning
- Data Analysis and Applications 1
- Dealing with real-world data, Part 1, Introduction to real-world machine learning
- Decision trees for analytics : using SAS Enterprise Miner
- Design of experiments in nonlinear models : asymptotic normality, optimality criteria and small-sample properties
- Discovering partial least squares with JMP
- Dynamic regression models for survival data
- Essential statistics, regression, and econometrics
- Fading foundations : probability and the regress problem
- Fitting models to biological data using linear and nonlinear regression : a practical guide to curve fitting
- Fixed effects regression methods for longitudinal data : using SAS
- Formulas useful for linear regression analysis and related matrix theory : it's only formulas but we like them
- Handbook of quantile regression
- Introduction to Mixed Modelling : Beyond Regression and Analysis of Variance
- Introduction to linear regression analysis
- Linear regression, Part 2, Introduction to real-world machine learning
- Longitudinal categorical data analysis
- MODa 8 : advances in model-oriented design and analysis : proceedings of the 8th International Workshop in Model-Oriented Design and Analysis held in Almagro, Spain, June 4-8, 2007
- MODa 9 : advances in model-oriented design and analysis
- Machine learning 101 with Scikit-Learn and StatsModels
- Multilevel analysis : techniques and applications
- Multiple linear regression viewpoints
- Oracle inequalities in empirical risk minimization and sparse recovery problems : École d'été de probabilités de Saint-Flour XXXVIII-2008
- Ordered regression models : parallel, partial, and non-parallel alternatives
- Penalized linear regression in Python
- Proportional hazards regression
- Quantile regression for spatial data
- Recent advances in linear models and related areas
- Regression : linear models in statistics
- Regression : models, methods and applications
- Regression analysis Microsoft Excel
- Regression analysis and hypothesis testing in R : inferring business relationships
- Regression analysis of count data
- Regression analysis under a priori parameter restrictions
- Regression analysis with Python : learn the art of regression analysis with Python
- Regression analysis with R : design and develop statistical nodes to identify unique relationships within data at scale
- Regression discontinuity designs : theory and applications
- Regression methods in biostatistics : linear, logistic, survival, and repeated measures models
- Regression methods in biostatistics : linear, logistic, survival, and repeated measures models
- Regression modeling strategies : with applications to linear models, logistic and ordinal regression, and survival analysis
- Regression with linear predictors
- Robust Response Surfaces, Regression, and Positive Data Analyses
- Robust nonlinear regression : with applications using R
- Sample size determination and power
- Solutions manual to accompany Introduction to linear regression analysis
- Statistical inference for models with multivariate t-distributed errors
- Statistical learning from a regression perspective
- Statistical methods in biology : design and analysis of experiments and regression
- Statistical modelling and regression structures : festschrift in honour of Ludwig Fahrmeir
- Statistical regression and classification : from linear models to machine learning
- Supervised classification algorithms, Part 3, Introduction to real-world machine learning
- The SAGE handbook of regression analysis and causal inference
- The statistical analysis of failure time data

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`<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.missouri.edu/resource/jB69f4FQDTc/" typeof="CategoryCode http://bibfra.me/vocab/lite/Concept"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/resource/jB69f4FQDTc/">Regression analysis</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>`