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A Treatise on Probability Hardcover – June 1, 2007

3.1 out of 5 stars 15 customer reviews

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Product Details

  • Hardcover: 484 pages
  • Publisher: Cosimo Classics (June 1, 2007)
  • Language: English
  • ISBN-10: 1602066965
  • ISBN-13: 978-1602066960
  • Product Dimensions: 5.5 x 1.2 x 8.5 inches
  • Shipping Weight: 1.2 pounds (View shipping rates and policies)
  • Average Customer Review: 3.1 out of 5 stars  See all reviews (15 customer reviews)
  • Amazon Best Sellers Rank: #3,260,429 in Books (See Top 100 in Books)

Customer Reviews

Most Helpful Customer Reviews

28 of 29 people found the following review helpful By Sebastian on February 12, 2010
Verified Purchase
This particular edition (A Treatise on Probability by General Books LLC) of the book seems a ripoff to me and I strongly recommend against buying it.
The small print on the front pages states that the book was created with OCR, to "keep the cost as low as possible".
That's all very well, but readability was kept as low as possible too.

To name a few issues, apart from a stream of spelling errors:
- a table of contents with no titles, just "section 1", "section 2" and so on
- random sections: section 17 starts with "chapter XXI", section 30 with "chapter XXXIII", section 31 appears to be the index
- sections starting in midsentence and, conversely, "chapter XXIX" appearing unceremoniously halfway down a page
- an index which refers to seemingly random pagenumbers
- mathematical formulas that are undecipherable ... supposing these typographical trainwrecks were formulas in the first place
- footnotes strewn through the text, again supposing that the many lines starting with digits are indeed footnotes.
- no layout whatsoever

Please read similar comments on:
[...]

The offer to download the original scan of the book from their website [...] seems meaningless too,
I couldn't find the book by author, title, barcode or ISBN.
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52 of 64 people found the following review helpful By Michael Emmett Brady on May 16, 2005
Format: Hardcover
In this path breaking contribution to the logic of probability,Keynes showed how to adapt the work of George Boole for the purpose of estimating probabilities.Keynes is the first scholar in history to explicitly emphasize the importance of interval estimates in decision making.For Keynes there are only two types of probability estimates,point estimates and interval estimates.Unfortunately,Keynes decided to call interval estimates "non-numerical"probabilities.His reasoning is really quite obvious.A precise estimate of probability used a single numeral for the point estimate.Therefore,an imprecise estimate of probability used two numerals to denote an interval(set).Thus, an interval estimate is not based on a single numeral but two. These types of probabilities are thus "non-numerical"because you are not using a single numeral.In 1922 and 1926,Frank Ramsey reviewed Keynes's book based on his reading of chapters 1-4 plus 3 pages from Part two and 4 pages from Part five.Keynes's discussion of non-numerical probabilities takes place in chapters 5,10,15 and 17.Keynes then applies his new approach to induction and analogy in chapters 20 and 22,using his concept of "finite probability"which applies to both precise numerical probabilities and imprecise non-numerical probabilities.All of Keynes's discoveries ,however,were ignored by the ignorant Ramsey.(To this day(2005)one can regularly read about Keynes's "strange,mysterious,unfathomable,undefined"non-numerical probabilities in literally hundreds of economics and philosophy journal articlesthat are based primarily on Ramsey's reviews.These reviews are still cited as "overwhelming" evidence that Keynes agreed that Ramsey's critique had demolished the entire structure of his logical approach to probability.Nothing could be further from the truth.Read more ›
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6 of 6 people found the following review helpful By Eileen P on March 8, 2011
Format: Kindle Edition Verified Purchase
Save your $0.99! This is an unreadable edition of a great book. After opening my wirelessly delivered copy, I found the following:

TIIK Hubjtwl mutter of this book was first broached i the brain of Lfibuix, who, in thn dwHortation, written in his twenty-third yiwr, o the woilt .....

And so it continues, page after page. This from a product "optimized for my Kindle"? It reads like a Robert Benchley parody of Old English.

I obviously will not sue Amazon to recover my $0.99, but I will advise others to not buy this edition of Keynes excellent book.
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5 of 5 people found the following review helpful By Michael Emmett Brady on June 21, 2004
Format: Paperback
In this path breaking contribution to the logic of probability,Keynes showed how to adapt the work of George Boole for the purpose of estimating probabilities.For Keynes there are only two types of probability estimates,point estimates and interval estimates.Unfortunately,Keynes decided to call interval estimates "non-numerical"probabilities.His reasoning is really quite obvious.A precise estimate of probability used a single numeral for the point estimate.Therefore,an imprecise estimate of probability used two numerals to denote an interval(set).Thus, an interval estimate is not based on a single numeral but two. These types of probabilities are thus "non-numerical"because you are not using a single numeral.In 1922 and 1926,Frank Ramsey reviewed Keynes's book based on his reading of chapters 1-4 plus 3 pages from Part two and 4 pages from Part five.Keynes's discussion of non-numerical probabilities takes place in chapters 5,10,15 and 17.Keynes then applies his new approach to induction and analogy in chapters 20 and 22,using his concept of "finite probability"which applies to both precise numerical probabilities and imprecise non-numerical probabilities.All of Keynes's discoveries ,however,were ignored by the ignorant Ramsey.To this day(2004)one can regularly read about Keynes's "strange,mysterious,unfathomable,undefined"non-numerical probabilities in literally hundreds of economics and philosophy journal articles based on Ramsey's reviews.Keynes then showed that interval estimates,because they overlap,would very likely also,in many cases,be noncomparable and/or nonrankable if a decision maker used such order preserving operators like"greater than or equal to"or "less than or equal to".While this is quite obvious,it went completely over Ramsey's head.Read more ›
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