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商品の説明
内容説明
This classic, calculus-based introduction to the theory and application of statistics provides an unusually comprehensive depth and breadth of coverage and reflects the latest in statistical thinking and current practices. New to this edition is the addition of an applications section at the end of each chapter that deals with the theory presented. Further emphasis has been placed on the use of computers in performing statistical calculations. Topics covered include probability distributions and densities, random variables, sampling distributions, hypothesis testing, regression and correlation, variance, and more. An excellent reference work for professional statisticians in a variety of fields.
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Amazon.com で最も参考になったカスタマーレビュー (beta)
Amazon.com:
20件のカスタマーレビュー
19 人中、16人の方が、｢このレビューが参考になった｣と投票しています。
Avoid: Really
2008/9/27
形式:ハードカバー
I have the 6th edition. I have used Probability and Statistics books from Ross, Hogg, Mendenhall, and Marx. I say this is the worst one because it has very little explanation and examples, but many unsolved exercises. Also, it is hard to follow. Here is a sentence and you be the judge:
"The exponential distribution applies not only to the occurrence of the first success in a Poisson process, which is what we call a situation like that described in Exercise 5.48, by the virtue of condition (iii) (see Exercise 6.16), it applies also to the waiting times between successes."
So, if you don't mind jumping around in the book, maybe you would not mind it as much. I am not kidding; you have to go back and forth all the time! I was just reading it, put it down, and logged in here to write this.
I like Mendenhall's "Mathematical Statistics with Applications" for quick and clear explanations (best as 1st book)
Ross' "First Course in Probability" for deeper understanding.
Hogg's "Probability and Statistical Inference" is my favorite.
Marx' Mathematical Statistics is ok (not many examples), but far better than this book.
"The exponential distribution applies not only to the occurrence of the first success in a Poisson process, which is what we call a situation like that described in Exercise 5.48, by the virtue of condition (iii) (see Exercise 6.16), it applies also to the waiting times between successes."
So, if you don't mind jumping around in the book, maybe you would not mind it as much. I am not kidding; you have to go back and forth all the time! I was just reading it, put it down, and logged in here to write this.
I like Mendenhall's "Mathematical Statistics with Applications" for quick and clear explanations (best as 1st book)
Ross' "First Course in Probability" for deeper understanding.
Hogg's "Probability and Statistical Inference" is my favorite.
Marx' Mathematical Statistics is ok (not many examples), but far better than this book.
3 人中、3人の方が、｢このレビューが参考になった｣と投票しています。
Not enough Pictures
2009/1/28
形式:ハードカバー
Yes, even at the collegiate level, pictures are needed. The example problems rarely drew the diagrams/pictures. Also many of the problems refer back to previous examples in different chapters. For example, a problem in Ch 7 has us take the information for a problem in chapter 3; without a corresponding page number. Also the lay out of book is very compact. I wish the authors did not squeeze so much information on one page. The could have used more space, showed much more algebra steps, and MORE DIAGRAMS.
2 人中、2人の方が、｢このレビューが参考になった｣と投票しています。
Avoid
2009/1/1
形式:ハードカバー
I'm taking a course in statistics as an independent study using this book. It might have been better had I been taking a class with a professor helping me understand the problems, but trying to understand with just this book is next to impossible. The examples skip steps, which I suppose I am just suppose to know, with no explanation or note that there have been operations omitted. This is very confusing. I have been teaching math for 34 years and feel I can follow the flow of a problem, but I teach my students to include everything to make sure their work is understood. Even the examples that are worked out sometimes have little to do with the problems that you are asked to solve. All in all, I feel this book is not well written for someone trying to learn these processes.
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