𝔖 Scriptorium
✦   LIBER   ✦
📁

Mathematical statistics with applications

✍ Scribed by Dennis D. Wackerly, William Mendenhall, Richard L. Scheaffer

Publisher
Cengage
Year
2008
Tongue
English
Leaves
939
Edition
7
Category
Library
⬇  Acquire This Volume

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Mathematical Statistics with Application
📁 Mathematical Statistics with Applications
✍ K.M. Ramachandran, Chris P. Tsokos 📂 Library 📅 2009 🏛 Academic Press 🌐 English

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 Application
📁 Mathematical Statistics with Applications
✍ Kandethody M.Ramachandran, Chris P.Tsokos 📂 Library 📅 2009 🏛 Academic Press 🌐 English

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

Mathematical statistics with application
📁 Mathematical statistics with applications
✍ Dennis D. Wackerly, William Mendenhall, Richard L. Scheaffer 📂 Library 📅 2008 🏛 Thomson Brooks/Cole 🌐 English

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.

Mathematical statistics with application
📁 Mathematical statistics with applications
✍ Ramachandran, K. M.;Tsokos, Chris P 📂 Library 📅 2009 🏛 Academic Press 🌐 English

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