Statistical Methods: The Geometric Approach by David J Saville
This book is a novel exposition of the traditional workhorses of statistics: analysis of variance and regression. The key feature is that these tools are viewed in their natural mathematical setting, the geometry of finite dimensions. The Authors To introduce ourselves, Dave Saville is a practicing statistician working in agricultural research; Graham Wood is a university lecturer involved in the teaching of statistical methods. Each of us has worked for sixteen years in our current field. Features of the Book People like pictures. One picture can present a set of ideas at a glance, while a series of pictures, each building on the last, can unify a wealth of ideas. Such a series we present in this text by means of a systematic geometric approach to the presentation of the theory of basic statistical methods. This approach fills the void between the traditional extremes of the cookbook approach and the matrix algebra approach, providing an elementary but at the same time rigorous view of the subject. It combines the virtues of the traditional methods, while avoiding their vices.-
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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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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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
"This is an interesting attempt to present analysis of variance and related topics in an informative way"
(Biometrics)
(Biometrics)
| SKU | Unavailable |
| ISBN 13 | 9781461269656 |
| ISBN 10 | 1461269652 |
| Title | Statistical Methods: The Geometric Approach |
| Author | David J Saville |
| Series | Springer Texts In Statistics |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer-Verlag New York Inc. |
| Year published | 2012-09-27 |
| Number of pages | 561 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |