A Philosophical Essay On Probabilities Pierre Simon Laplace 9781141133840 Books
Download As PDF : A Philosophical Essay On Probabilities Pierre Simon Laplace 9781141133840 Books
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A Philosophical Essay On Probabilities Pierre Simon Laplace 9781141133840 Books
In properly understanding Laplace’s A Philosophical Essay on Probabilities it helps to understand that the sharp distinction between science and philosophy was not made until the 20th century. Physics, for example, was referred to as natural philosophy in college curricula.Because of this unmade distinction, Laplace combines mathematical understanding of probability theory, though in words not equations, with what we moderns would call philosophy, such as the credibility of miracles.
The mathematical portions of the book are hard reading, particularly for those without a background in probability, but there is enough philosophical or practical guidance to make the book interesting—even for the non-statistician.
Moreover, the book does contain the gradual human conquest of understanding nature and society by mathematical means. Since many phenomena admit of so many causes as to be unsolvable by classical physics, probability, and later statistics, enables one to identify patterns and make predictions even without a full causal explanation. All of this is well described in the works of Ian Hacking, such as the Taming of Chance.
To read this taming in a original text by one of the founders of probability may be an acquired taste but for those interested in such subjects the book is mostly a delight. Highly recommended to all those who like to read in the history of science.
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A Philosophical Essay On Probabilities Pierre Simon Laplace 9781141133840 Books Reviews
good value
The classic, the book which opens an era of scientific thinking
Great book though no help playing dice.
Poor edition. Awful to read. The book is interesting though.
The Edition is broken. The fonts do not show up correctly. There are a number of fractions which are given in the document that simply show up as strange symbols.
Its a shame, it would be nice to have a kindle ready version of this document. My suggestion is to go an get the same title which has been scanned in by Google.
We are in 1812, Laplace is educating us on probability calculus. He warms up pointing out that probability is one of the most important human developments from the 17th century. Probability is defined simply as "The ratio of the number of favorable cases to that of all possible cases". Then he goes keenly through applications such as decisions in assemblies and judgments, mean duration of life, illusions estimating probabilities and so on. It "probably" bursted lots of superstitions within human endeavors.
A classic. A great mathematician explains his views on the foundations of probability without using any formulas, or Greek letters, not even pi. It does seem a little awkward though when he refers to a formula that uses the ratio of the circumference of a circle to its diameter. But generally, this is a well written book by one of history's great minds.
In properly understanding Laplace’s A Philosophical Essay on Probabilities it helps to understand that the sharp distinction between science and philosophy was not made until the 20th century. Physics, for example, was referred to as natural philosophy in college curricula.
Because of this unmade distinction, Laplace combines mathematical understanding of probability theory, though in words not equations, with what we moderns would call philosophy, such as the credibility of miracles.
The mathematical portions of the book are hard reading, particularly for those without a background in probability, but there is enough philosophical or practical guidance to make the book interesting—even for the non-statistician.
Moreover, the book does contain the gradual human conquest of understanding nature and society by mathematical means. Since many phenomena admit of so many causes as to be unsolvable by classical physics, probability, and later statistics, enables one to identify patterns and make predictions even without a full causal explanation. All of this is well described in the works of Ian Hacking, such as the Taming of Chance.
To read this taming in a original text by one of the founders of probability may be an acquired taste but for those interested in such subjects the book is mostly a delight. Highly recommended to all those who like to read in the history of science.
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