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An Introduction to Probability and Statistics, by Vijay K. Rohatgi, A. K. Md. Ehsanes Saleh
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The second edition of a well-received book that was published 24 years ago and continues to sell to this day, An Introduction to Probability and Statistics is now revised to incorporate new information as well as substantial updates of existing material.
- Sales Rank: #1898264 in Books
- Published on: 2000-10-16
- Ingredients: Example Ingredients
- Original language: English
- Number of items: 1
- Dimensions: 9.63" h x 1.62" w x 6.38" l, 2.50 pounds
- Binding: Hardcover
- 744 pages
Review
"From the preface:'There is a lot that is different about this second edition...we have tried to update the content...while striving to preserve the character and spirit of the first edition." (Mathematical Reviews Issue 2001g)
"this book is fascinating" (Short Book Reviews - Publication of the Int. Statistical Institute, December 2001)
"This text is for mathematics specialists..." (Short Book Reviews, Vol. 21, No. 3, December 2001)
Most helpful customer reviews
19 of 20 people found the following review helpful.
Good for 2 groups of readers.
By A Customer
This book is suitable for 2 sets of audiences:
a) Those without prior knowledge of Probability and Statistics, but with a strong maths background;
b) Those who already have a reasonable knowledge in Probability and Statistics (like myself, I hope), who want a more technical cut to their knowledge. After all, probability and statistics should involve heavy use of matehematics at higher level.
On the other hand, if your maths background is not so strong, I would suggest a less technical book first, such as Mood, Graybill, Boes, which is easier to follow. Then once your basic Probability and Statistics knowledge is reasonable, you can move on to Rohatgi, which will give you a more technical cut.
11 of 11 people found the following review helpful.
Solid introduction to probability and statistics
By Ali Civril
I used this book in one of my advanced probability courses, and it helped me to improve my understanding of the theory behind probability. It definitely requires a background in probability and as the author says it's not a "cookbook", but a mathematics text.
The authors develop the theory based on Kolmogorov axioms which solidly founds probability upon measure theory. All the concepts, limit theorems and statistical tests are introduced with mathematical rigor. I'm giving this book 4 stars cause sometimes, the text gets extremely dense and technical. Some intuitive explanations would be helpful.
Though, this is the right book for the mathematicians, industrial engineers and computer scientists wishing to have a strong background in probability and statistics. But, beware: not suitable for the novice in undergrad.
0 of 0 people found the following review helpful.
Many of the exercises at the end of each section have incredibly difficult solutions requiring theorems included nowhere in the
By nKenton
I am a graduate student studying statistics and this is our departmental text for statistical theory. The authors of this text remind me of the type of teachers who come into class and write a lot of math on the board with little explanation. What explanation is given is of little help and nearly impossible to navigate. Open up to a random page and you won't know what section or chapter you are in because the publishers failed to include these as headings. Many of the exercises at the end of each section have incredibly difficult solutions requiring theorems included nowhere in the book or a great deal of algebraic manipulation and calculus and very little statistical ability.
I realize that this text was intended to be highly mathematical, but if you are interested in a graduate level text that explains statistical theory 100x better than this text, see Casella and Berger's. The only reason my department uses this text instead is because a professor is buddies with the author.
My classmates and I complain about this text constantly. It is truly a nightmare.
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