Visualizing linear models
著者
書誌事項
Visualizing linear models
Springer, c2021
大学図書館所蔵 件 / 全2件
-
該当する所蔵館はありません
- すべての絞り込み条件を解除する
注記
Includes bibliographical references (p. 163) and index
内容説明・目次
内容説明
This book provides a visual and intuitive coverage of the core theory of linear models. Designed to develop fluency with the underlying mathematics and to build a deep understanding of the principles, it's an excellent basis for a one-semester course on statistical theory and linear modeling for intermediate undergraduates or graduate students.
Three chapters gradually develop the essentials of linear model theory. They are each preceded by a review chapter that covers a foundational prerequisite topic. This classroom-tested work explores two distinct and complementary types of visualization: the "observations picture" and the "variables picture." To improve retention of material, this book is supplemented by a bank of ready-made practice exercises for students. These are available for digital or print use.
目次
Preface.- Review: Linear Algebra.- Least-Squares Regression.- Review: Random Vectors.- The Linear Model.- Review: Normality.- Normal Errors.
「Nielsen BookData」 より