| 000 | 02019cam a22003498i 4500 | ||
|---|---|---|---|
| 001 | 21019490 | ||
| 003 | JGU | ||
| 005 | 20230610020015.0 | ||
| 007 | Paperback | ||
| 008 | 190614s2019 nju b 001 0 eng | ||
| 010 | _a 2019024424 | ||
| 020 | _a9789813202047 | ||
| 040 |
_aDLC _beng _erda _cDLC |
||
| 042 | _apcc | ||
| 050 | 0 | 0 |
_aQA273 _b.O4 2019 |
| 082 | 0 | 0 |
_a519.2 _223 _bOL-P |
| 100 | 1 |
_aOlkin, Ingram _979500 |
|
| 245 | 1 | 0 | _aProbability models and applications |
| 250 | _a2nd | ||
| 260 |
_aNew Jersey _bWorld Scientific _c2020 |
||
| 263 | _a1909 | ||
| 300 | _axv,715p. | ||
| 504 | _aIncludes bibliographical references and indexes. | ||
| 520 | _a"Written by renowned experts in the field, this reissue of a textbook has as its unifying theme the role that probability models have had, and continue to have, in scientific and practical applications. It includes many examples, with actual data, of real-world use of probability models, while expositing the mathematical theory of probability at an introductory calculus-based level. Detailed descriptions of the properties and applications of probability models that have successfully modeled real phenomena are given, as well as an explanation of methods for testing goodness of fit of these models. Readers will receive a firm foundation in techniques for deriving distributions of various summaries of data that will prepare them for subsequent studies of statistics, as well as a solid grounding in concepts such as that of conditional probability that will prepare them for more advanced courses in stochastic processes. Numerous examples with actual data where probability models can be applied in practice"-- | ||
| 650 | 0 |
_aProbabilities _979501 |
|
| 650 | 0 |
_aDistribution (Probability theory) _979502 |
|
| 700 | 1 |
_aGleser, Leon Jay, _eauthor. _979503 |
|
| 700 | 1 |
_aDerman, Cyrus, _eauthor. _979504 |
|
| 906 |
_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg |
||
| 942 |
_2ddc _cBK _01 |
||
| 999 |
_c233741 _d233741 |
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