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Linear Regression Models and Assumptions
Linear Regression Models and Assumptions
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Applied Regression Models in the Social Sciences
Applied Regression Models in the Social Sciences
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Beyond Multiple Linear Regression: Applied Generalized Linear Models And Multilevel Models in R (Chapman & Hall/CRC Texts in Statistical Science)
Beyond Multiple Linear Regression: Applied Generalized Linear Models And Multilevel Models in R (Chapman & Hall/CRC Texts in Statistical Science)
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Regression Analysis: An Intuitive Guide for Using and Interpreting Linear Models
Regression Analysis: An Intuitive Guide for Using and Interpreting Linear Models
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Microeconometrics Using Stata, Second Edition, Volume I: Cross-Sectional and Panel Regression Models: 1
Microeconometrics Using Stata, Second Edition, Volume I: Cross-Sectional and Panel Regression Models: 1
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Regression Modeling Strategies: With Applications to Linear Models, Logistic Regression, and Survival Analysis (Springer Series in Statistics)
Regression Modeling Strategies: With Applications to Linear Models, Logistic Regression, and Survival Analysis (Springer Series in Statistics)
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Regression Modeling Strategies: With Applications to Linear Models, Logistic Regression, and Survival Analysis
Regression Modeling Strategies: With Applications to Linear Models, Logistic Regression, and Survival Analysis
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Regression for Health and Social Science: Applied Linear Models with R
Regression for Health and Social Science: Applied Linear Models with R
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Regression Analysis: An Intuitive Guide for Using and Interpreting Linear Models
Regression Analysis: An Intuitive Guide for Using and Interpreting Linear Models
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Data Analysis Using Regression and Multilevel/Hierarchical Models (Analytical Methods for Social Research)
Data Analysis Using Regression and Multilevel/Hierarchical Models (Analytical Methods for Social Research)
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Analysis of Three Different Regression Models to Estimate the Ballistic Performance of New and Environmentally Conditioned Body Armor
Analysis of Three Different Regression Models to Estimate the Ballistic Performance of New and Environmentally Conditioned Body Armor
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Linear Regression: An Introduction to Statistical Models (The SAGE Quantitative Research Kit)
Linear Regression: An Introduction to Statistical Models (The SAGE Quantitative Research Kit)
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Logistic Regression Models for Ordinal Response Variables: 146 (Quantitative Applications in the Social Sciences)
Logistic Regression Models for Ordinal Response Variables: 146 (Quantitative Applications in the Social Sciences)
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Fixed Effects Regression Models: 160 (Quantitative Applications in the Social Sciences)
Fixed Effects Regression Models: 160 (Quantitative Applications in the Social Sciences)
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Regression: Linear Models in Statistics – Springer Undergraduate Mathematics Series
Regression: Linear Models in Statistics – Springer Undergraduate Mathematics Series
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Building Statistical Models in Python: Develop useful models for regression, classification, time series, and survival analysis
Building Statistical Models in Python: Develop useful models for regression, classification, time series, and survival analysis
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Linear Regression Models: Applications in R (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)
Linear Regression Models: Applications in R (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)
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Extended Switching Regression Models: Theory and Applications
Extended Switching Regression Models: Theory and Applications
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XGBoost for Regression Predictive Modeling and Time Series Analysis: Learn how to build, evaluate, and deploy predictive models with expert guidance
XGBoost for Regression Predictive Modeling and Time Series Analysis: Learn how to build, evaluate, and deploy predictive models with expert guidance
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Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)
Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)
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Spatial Regression Models for the Social Sciences (Advanced Quantitative Techniques in the Social Sciences)
Spatial Regression Models for the Social Sciences (Advanced Quantitative Techniques in the Social Sciences)
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Interpreting and Visualizing Regression Models Using Stata
Interpreting and Visualizing Regression Models Using Stata
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Data Analysis Using Regression and Multilevel/Hierarchical Models (Analytical Methods for Social Research)
Data Analysis Using Regression and Multilevel/Hierarchical Models (Analytical Methods for Social Research)
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Regression Modeling Strategies: With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis (Springer Series in Statistics)
Regression Modeling Strategies: With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis (Springer Series in Statistics)
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R Machine Learning Projects with tidymodels: Hands-On Regression, Classification & Clustering - Build, Evaluate & Deploy Models for Data Scientists (R programming)
R Machine Learning Projects with tidymodels: Hands-On Regression, Classification & Clustering - Build, Evaluate & Deploy Models for Data Scientists (R programming)
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MP Applied Linear Regression Models-Revised Edition with Student CD (Irwin/McGraw Hill Series, Operations and Decision Sciences)
MP Applied Linear Regression Models-Revised Edition with Student CD (Irwin/McGraw Hill Series, Operations and Decision Sciences)
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Statistics for Financial Analysts: Probability, Regression, Forecasting, and Risk Models for Applied Finance
Statistics for Financial Analysts: Probability, Regression, Forecasting, and Risk Models for Applied Finance
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Building Regression Models with SAS: A Guide for Data Scientists
Building Regression Models with SAS: A Guide for Data Scientists
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REGRESSION MODELING WITH R FOR REAL-WORLD DATA: BUILD, DIAGNOSE, INTERPRET, AND SCALE LINEAR, LOGISTIC AND PREDICTIVE MODELS (Decision Intelligence with R Series)
REGRESSION MODELING WITH R FOR REAL-WORLD DATA: BUILD, DIAGNOSE, INTERPRET, AND SCALE LINEAR, LOGISTIC AND PREDICTIVE MODELS (Decision Intelligence with R Series)
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Log-Linear Models and Logistic Regression – Springer Texts in Statistics
Log-Linear Models and Logistic Regression – Springer Texts in Statistics
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Regression Modeling Strategies: With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis (Springer Series in Statistics)
Regression Modeling Strategies: With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis (Springer Series in Statistics)
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Microeconometrics Using Stata, Second Edition, Volumes I and II: Cross-sectional and Panel Regression Methods / Nonlinear Models and Causal Inference Methods: 1-2
Microeconometrics Using Stata, Second Edition, Volumes I and II: Cross-sectional and Panel Regression Methods / Nonlinear Models and Causal Inference Methods: 1-2
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R Machine Learning Projects with tidymodels: Hands-On Regression, Classification & Clustering - Build, Evaluate & Deploy Models for Data Scientists (R programming)
R Machine Learning Projects with tidymodels: Hands-On Regression, Classification & Clustering - Build, Evaluate & Deploy Models for Data Scientists (R programming)
£16.04
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Beyond Multiple Linear Regression: Applied Generalized Linear Models And Multilevel Models in R (Chapman & Hall/CRC Texts in Statistical Science)
Beyond Multiple Linear Regression: Applied Generalized Linear Models And Multilevel Models in R (Chapman & Hall/CRC Texts in Statistical Science)
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Forecasting with Dynamic Regression Models: 236 (Wiley Series in Probability and Statistics)
Forecasting with Dynamic Regression Models: 236 (Wiley Series in Probability and Statistics)
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REGRESSION MODELING WITH R FOR REAL-WORLD DATA: BUILD, DIAGNOSE, INTERPRET, AND SCALE LINEAR, LOGISTIC AND PREDICTIVE MODELS (Decision Intelligence with R Series)
REGRESSION MODELING WITH R FOR REAL-WORLD DATA: BUILD, DIAGNOSE, INTERPRET, AND SCALE LINEAR, LOGISTIC AND PREDICTIVE MODELS (Decision Intelligence with R Series)
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Applied Regression Analysis and Generalized Linear Models
Applied Regression Analysis and Generalized Linear Models
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Regression Models for Categorical and Count Data (The SAGE Quantitative Research Kit)
Regression Models for Categorical and Count Data (The SAGE Quantitative Research Kit)
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Regression Models for Categorical and Limited Dependent Variables (Advanced Quantitative Techniques in the Social Sciences)
Regression Models for Categorical and Limited Dependent Variables (Advanced Quantitative Techniques in the Social Sciences)
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Fitting Models to Biological Data: Linear & Nonlinear Regression – Practical Guide to Curve Fitting
Fitting Models to Biological Data: Linear & Nonlinear Regression – Practical Guide to Curve Fitting
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