Beyond Multiple Linear Regression: Applied Generalized Linear Models And Multilevel Models in R (Chapman & Hall/CRC Texts in Statistical Science)
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Applied Regression Analysis and Generalized Linear Models
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Regression for Health and Social Science: Applied Linear Models with R
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Applied Linear Regression for Business Analytics with Python: A Practical Guide Using Ravix with Case Studies (International Series in Operations Research & Management Science, 378)
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Applied Linear Regression in Python: A Step-by-Step Projects for beginners and Professionals
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Applied Linear Regression (Wiley Series in Probability and Statistics)
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Applied Linear Regression for Business Analytics with R : A Practical Guide to Data Science with Case Studies
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MP Applied Linear Regression Models-Revised Edition with Student CD (Irwin/McGraw Hill Series, Operations and Decision Sciences)
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Linear Regression With Matlab: A Tutorial Introduction to the Mathematics of Regression Analysis
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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 I: Cross-Sectional and Panel Regression Models
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Linear Regression: A Tutorial Introduction to the Mathematics of Regression Analysis
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Linear Model and Extensions
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Linear Regression With Python: A Tutorial Introduction to the Mathematics of Regression Analysis
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Applied Numerical Methods for Chemical Engineers
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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)
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Modern Methods of Applied Economics
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Introduction to Linear Regression Analysis (Wiley Series in Probability and Statistics)
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LINEAR REGRESSION ANALYSIS: THEORY AND COMPUTING
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Quantile Regression
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Log-Linear Models and Logistic Regression – Springer Texts in Statistics
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Linear Model and Extensions
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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)
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Regression Modeling Strategies: With Applications to Linear Models, Logistic Regression, and Survival Analysis (Springer Series in Statistics)
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