| 000 | 02560nam a22004338i 4500 | ||
|---|---|---|---|
| 005 | 20250919090116.0 | ||
| 006 | m|||||o||d|||||||| | ||
| 007 | cr|||||||||||| | ||
| 008 | 170308s2014||||enk o ||1 0|eng|d | ||
| 020 | _a9781139103947 (ebook) | ||
| 020 | _z9781107020405 (hardback) | ||
| 020 | _z9781107652521 (paperback) | ||
| 035 | _a(UkCbUP)CR9781139103947 | ||
| 039 | 9 |
_y03-08-2017 _zhafiz |
|
| 040 | _aUKM | ||
| 040 |
_aUkCbUP _beng _erda _cUkCbUP |
||
| 050 | 0 | 0 |
_aQC20.7.M43 _bL43 2014 |
| 082 | 0 | 0 |
_a515/.42 _223 |
| 100 | 1 |
_aLeadbetter, Ross, _eauthor. |
|
| 245 | 1 | 2 |
_aA Basic Course in Measure and Probability : _bTheory for Applications / _cRoss Leadbetter, Stamatis Cambanis, Vladas Pipiras. |
| 246 | 3 | _aA Basic Course in Measure & Probability | |
| 264 | 1 |
_aCambridge : _bCambridge University Press, _c2014. |
|
| 300 |
_a1 online resource (376 pages) : _bdigital, PDF file(s). |
||
| 336 |
_atext _btxt _2rdacontent |
||
| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
||
| 500 | _aTitle from publisher's bibliographic system (viewed on 07 Mar 2017). | ||
| 520 | _aOriginating from the authors' own graduate course at the University of North Carolina, this material has been thoroughly tried and tested over many years, making the book perfect for a two-term course or for self-study. It provides a concise introduction that covers all of the measure theory and probability most useful for statisticians, including Lebesgue integration, limit theorems in probability, martingales, and some theory of stochastic processes. Readers can test their understanding of the material through the 300 exercises provided. The book is especially useful for graduate students in statistics and related fields of application (biostatistics, econometrics, finance, meteorology, machine learning, and so on) who want to shore up their mathematical foundation. The authors establish common ground for students of varied interests which will serve as a firm'take-off point' for them as they specialize in areas that exploit mathematical machinery. | ||
| 650 | 0 | _aMeasure theory | |
| 650 | 0 | _aProbabilities | |
| 700 | 1 |
_aCambanis, Stamatis, _eauthor. |
|
| 700 | 1 |
_aPipiras, Vladas, _eauthor. |
|
| 776 | 0 | 8 |
_iPrint version: _z9781107020405 |
| 856 | 4 | 0 | _uhttps://eresourcesptsl.ukm.remotexs.co/user/login?url=https://doi.org/10.1017/CBO9781139103947 |
| 907 |
_a.b16441205 _b2022-10-11 _c2019-11-12 |
||
| 942 | _n0 | ||
| 914 | _avtls003618385 | ||
| 998 |
_anone _b2017-08-03 _cm _da _feng _genk _y0 _z.b16441205 |
||
| 999 |
_c617336 _d617336 |
||