applied regression models

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Applied Regression Analysis and Generalized Linear Models
Applied Regression Analysis and Generalized Linear Models
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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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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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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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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 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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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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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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Applied Logistic Regression
Applied Logistic Regression
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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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The Great Mental Models: Systems and Mathematics
The Great Mental Models: Systems and Mathematics
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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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Categorical Data Analysis with Structural Equation Models : Applications in Mplus and lavaan
Categorical Data Analysis with Structural Equation Models : Applications in Mplus and lavaan
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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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Applications of Regression for Categorical Outcomes Using R
Applications of Regression for Categorical Outcomes Using R
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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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Applied Spatial Statistics and Econometrics : Data Analysis in R
Applied Spatial Statistics and Econometrics : Data Analysis in R
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Tests of Unconfoundedness in Regression Models with Normally Distributed Variables (Berichte aus der Mathematik)
Tests of Unconfoundedness in Regression Models with Normally Distributed Variables (Berichte aus der Mathematik)
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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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An Introduction to Applied Bayesian Methods
An Introduction to Applied Bayesian Methods
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Model Discrimination for Nonlinear Regression Models: 101 (Statistics: A Series of Textbooks and Monographs)
Model Discrimination for Nonlinear Regression Models: 101 (Statistics: A Series of Textbooks and Monographs)
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Applied Spatial Statistics and Econometrics : Data Analysis in R
Applied Spatial Statistics and Econometrics : Data Analysis in R
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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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Microeconometrics Using Stata, Second Edition, Volume II: Nonlinear Models and Casual Inference Methods
Microeconometrics Using Stata, Second Edition, Volume II: Nonlinear Models and Casual Inference Methods
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Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models (Chapman & Hall/CRC Texts in Statistical Science)
Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models (Chapman & Hall/CRC Texts in Statistical Science)
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Quantile Regression
Quantile Regression
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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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