In Spring 2010 I used this book to teach a calculus-based undergraduate course in statistics and probability at Metropolitan State University in Saint Paul. I covered chapters 1, 2, 3, 4, 6, 7, 12 and 13. In short, I cannot recommend the book. Explanations are often verbose and hard to follow, the
Mathematical statistics with applications
✍ Scribed by Chan, Wenyaw; Moyé, Lemuel A.; Kapadia, Asha Seth
- Publisher
- Chapman & Hall/CRC
- Year
- 2005
- Tongue
- English
- Leaves
- 644
- Series
- Statistics, textbooks and monographs ; v. 179
- Category
- Library
No coin nor oath required. For personal study only.
✦ Table of Contents
Cover......Page 1
Half Title......Page 2
Title Page......Page 12
Copyright Page......Page 13
Dedication......Page 15
Contents......Page 24
Preface......Page 16
Acknowledgments......Page 18
Introduction......Page 20
Chapter 1 Review of Mathematics......Page 26
Chapter 2 Probability Theory......Page 72
Chapter 3 Random Variables......Page 112
Chapter 4 Discrete Distributions......Page 158
Chapter 5 Continuous Random Variables......Page 214
Chapter 6 Distributions of Order Statistics......Page 304
Chapter 7 Asymptotic Distribution Theory......Page 346
Chapter 8 Point Estimation......Page 404
Chapter 9 Hypothesis Testing......Page 472
Chapter 10 Interval Estimation......Page 568
Chapter 11 Introduction to Computational Methods......Page 600
Index......Page 638
✦ Subjects
Mathematical statistics;Statistik -- 0 Gesamtdarstellung;Statistik -- Mathematisches Modell;Mathematisches Modell -- Statistik;Statistik;Mathematical statistics
📜 SIMILAR VOLUMES
архив содержит информацию для восстановления.Многие студенты, которые преуспевают в изучении курсов математики, обнаруживают трудности в понимании концепций статистики. Математическая статистика с приложениями уникальна в этом, она представляет материал с четкими пошаговыми процедурами для решения р
In their bestselling MATHEMATICAL STATISTICS WITH APPLICATIONS, premiere authors Dennis Wackerly, William Mendenhall, and Richard L. Scheaffer present a solid foundation in statistical theory while conveying the relevance and importance of the theory in solving practical problems in the real world.
Ch. 1. Descriptive Statistics -- Ch. 2. Basic Concepts from Probability Theory -- Ch. 3. Additional Topics in Probability -- Ch. 4. Sampling Distribution -- Ch. 5. Point Estimation -- Ch. 6. Interval Estimation -- Ch. 7. Hypothesis Testing -- Ch. 8. Linear Regression Models -- Ch. 9. Design of Exper