| 000 | 01622cam a2200301 i 4500 | ||
|---|---|---|---|
| 999 |
_c17054 _d17054 |
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| 001 | 18049283 | ||
| 003 | KE-NaKCAU | ||
| 005 | 20190729130445.0 | ||
| 008 | 140227s2014 ne b 001 0 eng | ||
| 010 | _a 2014007243 | ||
| 020 | _a9780128000427 | ||
| 040 |
_aDLC _beng _cKE-NaKCAU _erda |
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| 042 | _apcc | ||
| 050 | 0 | 0 |
_aQA273 _b.R864 2014 |
| 082 | 0 | 0 |
_a519.2 _223 |
| 100 | 1 |
_aRoussas, George G., _eauthor. |
|
| 245 | 1 | 3 |
_aAn introduction to measure-theoretic probability / _cby George G. Roussas. |
| 250 | _aSecond edition. | ||
| 260 |
_aAmsterdam : _bElsevier, _c2014. |
||
| 300 |
_axxiv, 401 pages : _billustrations ; _c25 cm. |
||
| 504 | _aIncludes bibliographical references and index. | ||
| 520 | _a"In this introductory chapter, the concepts of a field and of a [sigma]-field are introduced, they are illustrated bymeans of examples, and some relevant basic results are derived.Also, the concept of a monotone class is defined and its relationship to certain fields and [sigma]-fields is investigated. Given a collection of measurable spaces, their product space is defined, and some basic properties are established. The concept of a measurable mapping is introduced, and its relation to certain [sigma]-fields is studied. Finally, it is shown that any random variable is the pointwise limit of a sequence of simple random variables"-- | ||
| 650 | 0 |
_aProbability. _9338 |
|
| 650 | 0 | _aMeasure theory. | |
| 906 |
_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg |
||
| 942 |
_2lcc _cBK |
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