Introduction to Linear Regression Analysis, 6/e (Hardcover)
Douglas C. Montgomery , Elizabeth A. Peck , G. Geoffrey Vining
- 出版商: Wiley
- 出版日期: 2021-03-16
- 定價: $1,680
- 售價: 9.8 折 $1,646
- 語言: 英文
- 頁數: 704
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1119578728
- ISBN-13: 9781119578727
-
相關分類:
工程數學 Engineering-mathematics、管理與領導 Management-leadership、機率統計學 Probability-and-statistics
立即出貨 (庫存=1)
買這商品的人也買了...
-
Real Analysis : Measure Theory, Integration, and Hilbert Spaces (Princeton Lectures in Analysis, No. 3) (Hardcover)$1,580$1,548 -
$1,225A Computational Introduction to Number Theory and Algebra (Hardcover) -
Handbook of Linear Algebra (Hardcover)(書況較舊,書側有些許黴斑)$1,850$1,813 -
Statistical Inference, 2/e$1,480$1,450 -
Engineering Optimization: methods and applications, 2/e (Hardcover)$6,380$6,061 -
$1,188Fedora 11 and Red Hat Enterprise Linux Bible (Paperback) -
離散數學 最新修訂版$800$632 -
Functional Analysis: Introduction to Further Topics in Analysis (Princeton Lectures in Analysis, No. 4) (Hardcover)$1,580$1,548 -
$1,519Discrete and Combinatorial Mathematics: An Applied Introduction, 5/e (IE-Paperback) -
Linear Algebra, 4/e (IE-Paperback)$1,450$1,421 -
$1,156Calculus, 9/e (NIE-Paperback) -
Computer Age Statistical Inference : Algorithms, Evidence, and Data Science (Hardocver)$2,980$2,831 -
$1,568Statistical Inference: An Integrated Approach, 2/e (Hardcover) -
Fundamentals of Nonparametric Bayesian Inference (Hardcover)$1,680$1,646 -
$2,234Calculus, Vol. 1: One-Variable Calculus, with an Introduction to Linear Algebra (Hardcover) -
High-Dimensional Probability: An Introduction with Applications in Data Science (Hardcover)$1,650$1,617 -
$2,234Calculus, Vol. 2 : Multi-Variable Calculus and Linear Algebra with Applications to Differential Equations and Probability (Hardcover) -
$1,450Probability: Theory and Examples, 5/e (Hardcover) -
Linear Algebra and Its Applications, 6/e (GE-Paperback)$1,380$1,352 -
Probabilistic Machine Learning: An Introduction (Hardcover)$2,650$2,597 -
精通無瑕程式碼：工程師也能斷捨離！消除複雜度、提升效率的 17個關鍵技法 (The Art of Clean Code: Best Practices to Eliminate Complexity and Simplify Your Life)$600$468 -
Principles of Mathematical Analysis, 3/e (2023 Edition)$800$784 -
Deep Learning: Foundations and Concepts (Hardcover)$3,480$3,306 -
精通機器學習｜使用 Scikit-Learn , Keras 與 TensorFlow, 3/e (Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow: Concepts, Tools, and Techniques to Build Intelligent Systems, 3/e)$1,200$948 -
Generalized Vectorization, Cross-Products, and Matrix Calculus$4,930$4,684
相關主題
商品描述
A comprehensive and current introduction to the fundamentals of regression analysis
Introduction to Linear Regression Analysis, 6th Edition is the most comprehensive, fulsome, and current examination of the foundations of linear regression analysis. Fully updated in this new sixth edition, the distinguished authors have included new material on generalized regression techniques and new examples to help the reader understand retain the concepts taught in the book.
The new edition focuses on four key areas of improvement over the fifth edition:
- New exercises and data sets
- New material on generalized regression techniques
- The inclusion of JMP software in key areas
- Carefully condensing the text where possible
Introduction to Linear Regression Analysis skillfully blends theory and application in both the conventional and less common uses of regression analysis in today's cutting-edge scientific research. The text equips readers to understand the basic principles needed to apply regression model-building techniques in various fields of study, including engineering, management, and the health sciences.
作者簡介
DOUGLAS C. MONTGOMERY, PhD, is Regents Professor of Industrial Engineering and Statistics at Arizona State University. Dr. Montgomery is the co-author of several Wiley books including Introduction to Linear Regression Analysis, 5th Edition.
ELIZABETH A. PECK, PhD, is Logistics Modeling Specialist at the Coca-Cola Company in Atlanta, Georgia.
G. GEOFFREY VINING, PhD, is Professor in the Department of Statistics at Virginia Polytechnic and State University. Dr. Peck is co-author of Introduction to Linear Regression Analysis, 5th Edition.
