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Introduction to Statistical Theory (Houghton-Mifflin Series in Statistics), by Paul G. Hoel, Sidney C Port, Charles J. Stone
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Introduction to Statistical Theory
- Sales Rank: #577781 in Books
- Published on: 1971
- Original language: English
- Number of items: 1
- Dimensions: .69" h x 6.79" w x 9.57" l, 1.20 pounds
- Binding: Hardcover
- 237 pages
Most helpful customer reviews
29 of 29 people found the following review helpful.
nice introductory book
By Michael R. Chernick
When I was a graduate student at Stanford in the mid 1970s I took my first course in stochastic processes out of the companion book on stochastic processes by these authors. The three volumes "Introduction to Probability", "Introduction to Statistics" and "Introduction to Stochastic Processes" were produced at about the same time with the intention of covering the first three graduate courses on these subjects in a statistics porgram. I had different texts for my probabilty and statistics courses but these three texts were excellent and very similar in style. They are all clear and concise and could be best studied in the order given above.
15 of 15 people found the following review helpful.
Clear and concise
By Ralph Wojtowicz
To prepare for my first semester teaching statistics, I asked several colleagues for advice and references. Texts by Brunk and DeGroot were very useful and helped me organize and clarify for my students the material in our "statistics for engineers" text. Recently I discovered the three wonderful volumes by Hoel, Port, and Stone. In particular I found nice pictures to illustrate and explain the central limit theorem. There are also many exercises and worked examples. The next statistics course I teach will be greatly improved thanks to these books and the work that went into writing them.
9 of 12 people found the following review helpful.
I am stunned that the publisher has turned this isnt a 140 dollar new text.
By J. Rounds
I used this book as an undergraduate. Its a good text in the sense that it cuts to the chase... but its not that good and its short. 140 dollars for a new version of this text is the publisher milking the textbook industry. If you at all have an option buy old edition of something else or something. [Casella, Statistical Inference comes to mind]
There is nothing modern or comprehensive or unusually easy to understand in this text. Note that this text has not changed sinced 1971. Not a word. So there are many old editions of many old text that cover the same material. It does what it does decent... I am glad to own it. But it doesnt do it 140 dollars worth. And wasnt 140 dollars for a new version until recently.
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