

Statistical Methods by David J Saville
The aim of this book is to present the mathematics underlying elementary statistical methods in as simple a manner as possible. These methods include independent and paired sample t-tests, analysis of variance, regression, and the analysis of covariance. The author's principle tool is the use of geometric ideas to provide more visual insight and to make the theory accessible to a wider audience than is usually possible.-
All of Statistics
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An Introduction to Statistical Learning
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A Modern Introduction to Probability and Statistics
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Modern Mathematical Statistics with Applications
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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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Applied Regression Analysis
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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 | Statistical Methods |
| Author | David J Saville |
| Series | |
| Condition | Unavailable |
| Binding Type | |
| 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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