| 000 | 03171nam a22004815i 4500 | ||
|---|---|---|---|
| 001 | 978-0-387-74995-2 | ||
| 003 | DE-He213 | ||
| 005 | 20250710084021.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 100715s2008 xxu| s |||| 0|eng d | ||
| 020 |
_a9780387749952 _a99780387749952 |
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| 024 | 7 |
_a10.1007/978-0-387-74995-2 _2doi |
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| 082 | 0 | 4 |
_a519.2 _223 |
| 100 | 1 |
_aLefebvre, Mario. _eauthor. |
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| 245 | 1 | 0 |
_aBasic Probability Theory with Applications _h[recurso electrónico] / _cby Mario Lefebvre. |
| 264 | 1 |
_aNew York, NY : _bSpringer New York, _c2008. |
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| 300 | _bonline resource. | ||
| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_arecurso en línea _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 490 | 1 |
_aSpringer Undergraduate Texts in Mathematics and Technology, _x1867-5506 |
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| 505 | 0 | _aPreface -- Review of Differential Calculus -- Elementary Probability -- Random Variables -- Random Vectors -- Reliability -- Queueing -- Time Series -- Appendix A: List of Symbols and Abbreviations -- Appendix B: Statistical Tables -- Appendix C: Solutions to 'Solved Exercises' -- Appendix D: Answers to Even-Numbered Exercises -- Appendix E: Answers to Multiple-Choice Questions -- References -- Index. | |
| 520 | _aThis book presents elementary probability theory with interesting and well-chosen applications that illustrate the theory. An introductory chapter reviews the basic elements of differential calculus which are used in the material to follow. The theory is presented systematically, beginning with the main results in elementary probability theory. This is followed by material on random variables. Random vectors, including the all important central limit theorem, are treated next. The last three chapters concentrate on applications of this theory in the areas of reliability theory, basic queuing models, and time series. Examples are elegantly woven into the text and over 400 exercises reinforce the material and provide students with ample practice. This textbook can be used by undergraduate students in pure and applied sciences such as mathematics, engineering, computer science, finance and economics. A separate solutions manual is available to instructors who adopt the text for their course. | ||
| 650 | 0 | _aMATHEMATICS. | |
| 650 | 0 | _aCOMPUTER SCIENCE. | |
| 650 | 0 | _aDISTRIBUTION (PROBABILITY THEORY). | |
| 650 | 0 | _aENGINEERING MATHEMATICS. | |
| 650 | 0 | _aECONOMICS, MATHEMATICAL. | |
| 650 | 1 | 4 | _aMATHEMATICS. |
| 650 | 2 | 4 | _aPROBABILITY THEORY AND STOCHASTIC PROCESSES. |
| 650 | 2 | 4 | _aAPPL.MATHEMATICS/COMPUTATIONAL METHODS OF ENGINEERING. |
| 650 | 2 | 4 | _aPROBABILITY AND STATISTICS IN COMPUTER SCIENCE. |
| 650 | 2 | 4 | _aGAME THEORY/MATHEMATICAL METHODS. |
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer eBooks | |
| 776 | 0 | 8 |
_iPrinted edition: _z9780387749945 |
| 830 | 0 |
_aSpringer Undergraduate Texts in Mathematics and Technology, _x1867-5506 |
|
| 856 | 4 | 0 |
_uhttp://dx.doi.org/10.1007/978-0-387-74995-2 _zVer el texto completo en las instalaciones del CICY |
| 912 | _aZDB-2-SMA | ||
| 942 |
_2ddc _cER |
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_c58655 _d58655 |
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