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003 | SIRSI | ||
005 | 20160812080026.0 | ||
007 | cr nn 008mamaa | ||
008 | 101013s2011 xxu| s |||| 0|eng d | ||
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_a9780387878577 _9978-0-387-87857-7 |
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040 | _cMX-MeUAM | ||
050 | 4 | _aQA21-27 | |
082 | 0 | 4 |
_a510.9 _223 |
100 | 1 |
_aFischer, Hans. _eauthor. |
|
245 | 1 | 2 |
_aA History of the Central Limit Theorem _h[recurso electrónico] : _bFrom Classical to Modern Probability Theory / _cby Hans Fischer. |
264 | 1 |
_aNew York, NY : _bSpringer New York, _c2011. |
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300 |
_aXVI, 402 p. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 | _aSources and Studies in the History of Mathematics and Physical Sciences | |
505 | 0 | _aPreface -- Introduction -- The central limit theorem from laplace to cauchy: changes in stochastic objectives and in analytical methods -- The hypothesis of elementary errors -- Chebyshev's and markov's contributions -- The way towards modern probability -- General limit problems -- Conclusion: the central limit theorem as a link between classical and modern probability -- Index -- Bibliography. | |
520 | _aThis study aims to embed the history of the central limit theorem within the history of the development of probability theory from its classical to its modern shape, and, more generally, within the corresponding development of mathematics. The history of the central limit theorem is not only expressed in light of "technical" achievement, but is also tied to the intellectual scope of its advancement. The history starts with Laplace's 1810 approximation to distributions of linear combinations of large numbers of independent random variables and its modifications by Poisson, Dirichlet, and Cauchy, and it proceeds up to the discussion of limit theorems in metric spaces by Donsker and Mourier around 1950. This self-contained exposition additionally describes the historical development of analytical probability theory and its tools, such as characteristic functions or moments. The importance of historical connections between the history of analysis and the history of probability theory is demonstrated in great detail. With a thorough discussion of mathematical concepts and ideas of proofs, the reader will be able to understand the mathematical details in light of contemporary development. Special terminology and notations of probability and statistics are used in a modest way and explained in historical context. | ||
650 | 0 | _aMathematics. | |
650 | 0 |
_aMathematics_ _xHistory. |
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650 | 0 | _aDistribution (Probability theory). | |
650 | 0 | _aStatistics. | |
650 | 1 | 4 | _aMathematics. |
650 | 2 | 4 | _aHistory of Mathematics. |
650 | 2 | 4 | _aProbability Theory and Stochastic Processes. |
650 | 2 | 4 | _aStatistics, general. |
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9780387878560 |
830 | 0 | _aSources and Studies in the History of Mathematics and Physical Sciences | |
856 | 4 | 0 |
_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-0-387-87857-7 |
596 | _a19 | ||
942 | _cLIBRO_ELEC | ||
999 |
_c198189 _d198189 |