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George Casella

Roger L. Berger

Statistical Inference Paperback – Jan. 1 2008

by George Casella (Author)

434 ratings

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Discusses both theoretical statistics and the practical applications of the theoretical developments. Includes a large numer of exercises covering both theory and applications.

Language

English
Publisher

Thomson Press (India) Ltd
Publication date

Jan. 1 2008
Dimensions

20.3 x 25.4 x 4.7 cm
ISBN-10

8131755371
ISBN-13

978-8131503942
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Product details

ASIN ‏ : ‎ 8131503941
Publisher ‏ : ‎ Thomson Press (India) Ltd; 2 edition (Jan. 1 2008)
Language ‏ : ‎ English
ISBN-10 ‏ : ‎ 8131755371
ISBN-13 ‏ : ‎ 978-8131503942
Item weight ‏ : ‎ 2 g
Dimensions ‏ : ‎ 20.3 x 25.4 x 4.7 cm

Best Sellers Rank: #21,282 in Books (See Top 100 in Books)
- #26 in Probability & Statistics (Books)

Customer Reviews:
434 ratings

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George Casella
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Roger L. Berger
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Customer reviews

4.4 out of 5

434 global ratings

5 star		73%
4 star		13%
3 star		5%
2 star		3%
1 star		6%

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Amazon Customer

Good for social scientists

Reviewed in Canada 🇨🇦 on June 12, 2017

Verified Purchase

A classic. If your analysis (esp. integration) skills are not abysmal, you will find this book to be a thorough introduction into statistics and statistical thinking. Good for social scientists, economists etc. This is not a "cook book" type of text book! If you want a rough and dirty introduction into applied statistics, you must look somewhere else.

Reviewed in Canada 🇨🇦 on April 19, 2016

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very good, as expected.

Reviewed in Canada 🇨🇦 on April 23, 2016

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quite good !

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Amazon Customer

It's a good introduction to the underlying maths of statistics and a ...

Reviewed in Canada 🇨🇦 on October 4, 2016

Verified Purchase

It's a good introduction to the underlying maths of statistics and a useful reference to have on your bookshelf. I like all the Sherlock Holmes quotes at the beginning of each chapter. I think Casella and Berger are cool guys.

Reviewed in Canada 🇨🇦 on October 10, 2015

Verified Purchase

Very satisfied!

Reviewed in Canada 🇨🇦 on February 15, 2021

Verified Purchase

overlapped pages.
is it an official book?

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J. Wang

Excellent textbook for introductory to modern statistics

Reviewed in Canada 🇨🇦 on June 16, 2003

If you have basic trainings in calculus, you'll love this book. The book is almost good for self-study. It's very well written and easy to follow. This book provides a good introduction to theoretical statistics with good examples.
Compare to many badly written mathematics books by famous mathematicians that gave me terrible experiences, I strongly recommend this book. As I was reading this book, I constantly recalled the hard time I experienced when I used Royden's "Real Analysis" or M. Artin's "Algebra". These two books are classical math textbooks that are appraised by many mathematicians. But according to my knowledge, many students extremely hate these two textbooks simply because these two books are hard to follow unless you read other textbooks. In my eyes, these "bad" textbooks are good only for those who have already mastered the contents (for exmaple, professors who have taught this subject for their entire lives). As for me, after I completely understood the topics, I found these two books are quite useful as reference books. But still I believe these two books are not good for entry-level students if they know little about the subjects in the books. As contrary, Casella-Berger's book is very good for entry-level students. Good knowledge in calculus is sufficient for you to easily follow this book. Moreover, the content of this book is not simple, it contains almost all of modern statistics.( many poor calculus books are written in such a way that in order to please the students, the author intentionally omitted some important subjects and/or reduced the level of the contents. By doing so, the author became famous and the book went to best-selling, and the students, without any working, are happy to wrongly believe that they know everything while they don't at all!). "Statistical Inference" is good only because it is carefully written. Casella-Berger are not only outstanding researchers, they are also good educators, They know students, they know at what point students would encounter difficulty and at this point, the readers will find an appropriate example to help them out. After reading many bad mathematics textbooks, I believe that mathematician are trying to make our lives more miserable, and this is one of the reasons I lost my interests in mathematics, though I am one of the best students according to many professors. After I finished the reading of Statistical Inference, I immediately fell in love with statistics, I believe statisticians are trying to make our lives better. While I was going through "Statistical Inference", I was also reading Richard Durrett's "Probability: theory and examples", a widely used typical textbook in probability for first year PhD student in statistics. Compare to majority entry-level PhD students in statistics, I have much stronger back ground in mathematics (I mastered the subject of Lebesgue Measure, Integration and Differentiation), yet I experienced the same hard time as I did in some other math classes. My blame can only go to the bad written textbook, I have to read other textbook to understand the topic, and this is absolutely not good for a not-stupid and hard working student. I am always curious that among all the textbooks available, why mathematicians prefer the textbooks that will give students more hard time. For the same topic, using different explanation, students will have different feelings, why can't the professor pick up the more friendly written books for the sake of student's easy understanding and their continuing interests in the area?
My belief was strengthened after completing the reading of Casella-Berger's "Statistical Inference" and R. Durrett's "Probability", that one must keep away from mathematicians as far as possible since your life will be tough if you are close to them. And as for myself, I won't do research in probability since the book "Probability" gave me the impression that more mathematicians are involved in the area of probability theory. I'll go with Casella Berger, concentrate on the filed of statistical inference since scientists in this particular field are trying to make our lives better.
For those who indeed want to learn statistics and who have no strong specific back ground, I strongly recommend Casella Berger's "Statistical Inference"!

3 people found this helpful

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S M

this book is cool but a fraud sticker is kept to calim it original

Reviewed in Canada 🇨🇦 on January 19, 2018

Verified Purchase

one of the basic book for mathematical statistics but unfortunately this seller selling the book as a international edition with an original silver sticker where in the below its written that the book is prohibited to use in some countries ! I dont like their cheating ideas in amazon

One person found this helpful

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Top reviews from other countries

MR SW MURRAY

Well-written graduate-level introduction but let down by poor production values

Reviewed in the United Kingdom 🇬🇧 on March 1, 2021

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This book provides an excellent introduction to statistical inference and takes a fairly rigorous approach beginning with set theory and introducing the basic axioms of probability theory before introducing distributions. Despite being aimed at graduate students the prerequisites are fairly modest - the authors suggest a year of calculus plus perhaps some exposure to matrices. The written style is engaging and the authors take the trouble to lead the reader through the development of the material. Again, a pleasant surprise for a book aimed at this audience is that it does not avoid explaining straightforward algebraic manipulations or calculus rules used in the derivations presented - these can often trip up any mortal reader and it is refreshing to have these additional notes so that one is not distracted from the important mathematical point by failing to follow the thread of the argument. There are also copious examples and a huge quantity of exercises (presented without answers).

Unfortunately this book is let down by poor printed presentation: my copy features pages with text that is in some places faint and occasional not printed at all; printing is often not aligned with the page with lines running at an angle of several degrees to the page edge, and some pages are not cut from their neighbours. This is a pity as the written content is thoughtfully presented and is otherwise a valuable addition to the bookshelf of many mathematicians, perhaps particularly those with a solid grasp of mathematics but less so a background in statistics.

2 people found this helpful

a reader

Illegally sold?

Reviewed in the United Kingdom 🇬🇧 on February 2, 2022

Verified Purchase

The production quality is very poor.
There is also a piece of black tape covering a notice in the front page, but you can read it from the other side as the paper is so thin. It says this edition is only for sale in India, Pakistan, Bangladesh, Nepal or Sri Lanka.
Therefore not sure if it's legal for this to be sold in the UK.

2 people found this helpful

Carl T.

Great book, poor print quality

Reviewed in the United Kingdom 🇬🇧 on January 25, 2018

Verified Purchase

The book is great, but as stated in an other comment the print quality is really poor. I ordered to get an idea myself. The paper is thin so that the ink from the other side of the page makes it very unpleasant to read. On my copy a small mention at the back was obstructed by a black marker. No need to say I returned the book, it looked really dodgy. It's a shame to get such poor quality when you make the effort to pay £30 for a book you like, especially when that's shipped and sold from Amazon.

One person found this helpful

Alexis

Do NOT BUY paperback copy

Reviewed in the United Kingdom 🇬🇧 on February 22, 2021

Verified Purchase

It is completely unuseable, the binding makes parts unreadable and some pages are upside down (this was the official version sold & fulfilled by amazon so definitely not a counterfeit from a third party seller.

One person found this helpful

R Morrison

Poor quality but useful book

Reviewed in the United Kingdom 🇬🇧 on December 23, 2021

Verified Purchase

Pages very thin and print faint in places. Good information and useful for academic purposes or self interest

One person found this helpful

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Buy new: $54.95

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Statistical Inference Paperback – Jan. 1 2008

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About the authors

George Casella

Roger L. Berger

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