Applied Regression Analysis by John O Rawlings
Least squares methods is an essential statistical technique in many areas including the life sciences, environmental sciences, and agriculture. This book provides the background necssary to understand the important concepts of regression analysis without becoming excessively mathematical.-
An Introduction to Statistical Learning
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A Modern Approach to Regression with R
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All of Statistics
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Time Series Analysis and Its Applications
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A Modern Introduction to Probability and Statistics
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Modern Mathematical Statistics with Applications
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Introduction to Time Series and Forecasting
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Statistics and Data Analysis for Financial Engineering
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Probability with Applications in Engineering, Science, and Technology
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Bayesian Essentials with R
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A First Course in Bayesian Statistical Methods
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Monte Carlo Statistical Methods
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The Bayesian Choice
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Plane Answers to Complex Questions
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Fundamentals of High-Dimensional Statistics
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Log-Linear Models and Logistic Regression
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Basics of Modern Mathematical Statistics
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Statistical Learning from a Regression Perspective
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Pathologie des Thymus
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Lectures on Advanced Topics in Categorical Data Analysis
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Counting for Something
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Regression Analysis
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Statistical Methods: The Geometric Approach
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Applied Multivariate Data Analysis
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Probability
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Introduction to Statistics
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Studying Human Populations
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Introduction to Statistical Inference
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Elements of Statistics for the Life and Social Sciences
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Analysis of Variance in Experimental Design
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Prescriptions for Working Statisticians
| SKU | Unavailable |
| ISBN 13 | |
| ISBN 10 | |
| Title | Applied Regression Analysis |
| Author | John O Rawlings |
| Series | |
| Condition | Unavailable |
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| Publisher | |
| Year published | |
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| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
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