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Linear Regression Models and Assumptions
Linear Regression Models and Assumptions
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Applied Regression Analysis and Generalized Linear Models
Applied Regression Analysis and Generalized Linear Models
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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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Fitting Models to Biological Data Using Linear and Nonlinear Regression: A Practical Guide to Curve Fitting
Fitting Models to Biological Data Using Linear and Nonlinear Regression: A Practical Guide to Curve Fitting
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Dynamic Regression Models for Survival Data (Statistics for Biology and Health)
Dynamic Regression Models for Survival Data (Statistics for Biology and Health)
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Regression Models for Categorical Dependent Variables Using Stata, Third Edition
Regression Models for Categorical Dependent Variables Using Stata, Third Edition
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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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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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Building Regression Models with SAS: A Guide for Data Scientists
Building Regression Models with SAS: A Guide for Data Scientists
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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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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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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 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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Interpreting and Visualizing Regression Models Using Stata
Interpreting and Visualizing Regression Models Using Stata
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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 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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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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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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Generalized Additive Models for Location, Scale and Shape: A Distributional Regression Approach, with Applications: 56 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 56)
Generalized Additive Models for Location, Scale and Shape: A Distributional Regression Approach, with Applications: 56 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 56)
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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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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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Log-Linear Models and Logistic Regression (Springer Texts in Statistics)
Log-Linear Models and Logistic Regression (Springer Texts 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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Longitudinal Regression Models for Population Dynamics
Longitudinal Regression Models for Population Dynamics
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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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Longitudinal Regression Models for Population Dynamics
Longitudinal Regression Models for Population Dynamics
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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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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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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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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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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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Enhancing High-Volume Comparable Sales Processing with Regression Models
Enhancing High-Volume Comparable Sales Processing with Regression Models
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Applied Regression Analysis and Generalized Linear Models
Applied Regression Analysis and Generalized Linear Models
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Enhancing High-Volume Comparable Sales Processing with Regression Models
Enhancing High-Volume Comparable Sales Processing with Regression Models
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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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Regression Models in Engineering and the Applied Sciences
Regression Models in Engineering and the Applied Sciences
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Linear Models and Least Squares Regression
Linear Models and Least Squares Regression
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Applied Regression Models in the Social Sciences
Applied Regression Models 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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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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