| 000 | 02996nam a22004815i 4500 | ||
|---|---|---|---|
| 001 | 978-0-387-28505-4 | ||
| 003 | DE-He213 | ||
| 005 | 20161121231023.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 100301s2006 xxu| s |||| 0|eng d | ||
| 020 |
_a9780387285054 _9978-0-387-28505-4 |
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| 024 | 7 |
_a10.1007/0-387-28505-9 _2doi |
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| 050 | 4 | _aQA273.A1-274.9 | |
| 050 | 4 | _aQA274-274.9 | |
| 072 | 7 |
_aPBT _2bicssc |
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| 072 | 7 |
_aPBWL _2bicssc |
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| 072 | 7 |
_aMAT029000 _2bisacsh |
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| 082 | 0 | 4 |
_a519.2 _223 |
| 100 | 1 |
_aLefebvre, Mario. _eauthor. |
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| 245 | 1 | 0 |
_aApplied Probability and Statistics _h[electronic resource] / _cby Mario Lefebvre. |
| 264 | 1 |
_aNew York, NY : _bSpringer New York, _c2006. |
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| 300 |
_aXVIII, 358 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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| 505 | 0 | _aIntroduction -- Elementary Probabilities -- Random Variables -- Random Vectors -- Stochastic Processes -- Estimation and Testing -- Simple Linear Regression -- Appendices: Mathematical Formulas -- Quantiles – Sampling Distributions -- Classification of the Exercises -- Answers – Multiple Choice Questions -- Answers to Selected Exercises. | |
| 520 | _aThis text is designed for a one-semester course on Probability and Statistics. The exposition unfolds systematically from an introductory chapter to such topics as random variables and vectors, stochastic processes, estimation, testing and regression. The topics are well chosen and the presentation is enriched by many examples from real life. Following every chapter, the reader will find many original, solved and unsolved problems and hundreds of multiple choice questions, enabling those unfamiliar with the topics to master them. Additionally appealing are the interesting historical notes on the mathematicians mentioned throughout and a useful bibliography. A distinguishing character of the book is the thorough and succinct handling of the various topics. This book assumes a basic knowledge of differential and integral calculus. Whether in a classroom setting or for self-study, this textbook will benefit students in applied mathematics, engineering, computer science and in the applied sciences in general. A separate solutions manual is available to instructors. | ||
| 650 | 0 | _aMathematics. | |
| 650 | 0 | _aMathematical statistics. | |
| 650 | 0 | _aProbabilities. | |
| 650 | 0 | _aStatistics. | |
| 650 | 1 | 4 | _aMathematics. |
| 650 | 2 | 4 | _aProbability Theory and Stochastic Processes. |
| 650 | 2 | 4 | _aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. |
| 650 | 2 | 4 | _aProbability and Statistics in Computer Science. |
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer eBooks | |
| 776 | 0 | 8 |
_iPrinted edition: _z9780387284545 |
| 856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/0-387-28505-9 |
| 912 | _aZDB-2-SMA | ||
| 950 | _aMathematics and Statistics (Springer-11649) | ||
| 999 |
_c507409 _d507409 |
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