Introduction to Probability and Statistics: Principles and Applications for Engineering and the Computing Sciences
| Author | : | |
| Rating | : | 4.56 (518 Votes) |
| Asin | : | 007246836X |
| Format Type | : | paperback |
| Number of Pages | : | 816 Pages |
| Publish Date | : | 2016-12-18 |
| Language | : | English |
DESCRIPTION:
The authors take care to develop the theoretical foundations for the statistical methods presented at a level that is accessible to students with only a calculus background. The prerequisite is one year of calculus. This well-respected text is designed for the first course in probability and statistics taken by students majoring in Engineering and the Computing Sciences. The examples, exercises, and applications were chosen specifically for students in engineering and computer science and include opportunities for real data analysis.. They explore the practical implications of the formal results to problem-solving so students gain an understanding of the logic behind the techniques as well as practice in using them. The text offers a balanced presentation of applications and theory
arnold is a Professor of Statistics at Virginia Polytechnic Insitute and state University. J.Susan Milton is professor Emeritus of Satatics at Radford University. Dr. degree from Western Carolina University, the M.A. Dr. arnold received the B.S. He served as head of Statistics department for ten years, is a fellow of the American Statistical Association, and elected member of the International Statistics Institute. She is a D
Solid book. I will keep it forever. I have been using this book at my job for years. It is a great foundation for many other more complex topics and texts. I can pick it up, read a chapter, and move on.. Wordy, bland, and needlessly complex Aerospace Engineer This is the third course in probability I have taken over the last 30 years and have not found a good textbook yet. The book is pure drudgery to read. Overly wordy, complex explanations are the norm. Or as the authors probably would have put it: The text makes use of a multiplicity of non value added ink-on-paper replications of verbal communication to excessively inhibit the coherent transmission of information vis-a-vis the learning construct. Presentation of the math concepts is inconsistent, partly set aside in. "More garbage by professional academics" according to thatstheticket. This book is used in introductory probability and statistics courses, yet it reads like the authors' awkwardly written cliff notes.The authors insist on using multiple levels of mathematical indirection to introduce even the most basic of theorems. Examples in the reading consist mostly of long drawn out, and totally unreferenceable word problems. There are no diagrams to help visualize concepts until chapter four. Summaries are wordy. Summaries of similar topics are inconsistently worded leading to a lack of paral
D degrees in statistics from Florida state university. Degree from Southeastern state University, and the M.A and Ph. arnold is a Professor of Statistics at Virginia Polytechnic Insitute and state University. About the Author J.Susan Milton is professor Emeritus of Satatics at Radford University. . Dr. She is a Danforth Associate and is a recipient of the Radford University Foundation Award for Excellence in Teaching. Milton is the author of Statistical Methods in the Biological and Health Sciences as well as Introduction to statistics, Probability with the E