| 000 | 02732cam a22003738i 4500 | ||
|---|---|---|---|
| 001 | 21558087 | ||
| 003 | CSPC | ||
| 005 | 20250806161224.0 | ||
| 008 | 200602s2020 nju b 001 0 eng c | ||
| 010 | _a 2020024702 | ||
| 020 |
_a9781119675846 _q(paperback) |
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| 035 | _a21558087 | ||
| 040 |
_aWaSeSS/DLC _beng _erda _cDLC _dCSPC |
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| 042 | _apcc | ||
| 050 | 0 | 0 |
_aHA29 _b.S45 2020 |
| 082 | 0 | 0 |
_a519.5 _bSco832s _223 |
| 100 | 1 |
_aScott, David W., _d1950- _eauthor. |
|
| 245 | 1 | 0 |
_aStatistics : _ba concise mathematical introduction for students, scientists, and engineers / _cDavid W. Scott. |
| 263 | _a2008 | ||
| 264 | 1 |
_aHoboken, New Jersey : _bJohn Wiley & Sons, Ltd, _c2020. |
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| 300 |
_axiv, 165 pages ; _c24 cm. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_aunmediated _bn _2rdamedia |
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| 338 |
_avolume _bnc _2rdacarrier |
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| 504 | _aIncludes bibliographical references and index. | ||
| 505 | 0 | _aData analysis and understanding -- Classical probability -- Random variables and models derived from classical probability and postulates -- Bivariate random variables, transformations, and simulations -- Approximations and asymptotics -- Parameter estimation -- Hypothesis testing -- Confidence intervals and other hypothesis tests -- Topics in statistics. | |
| 520 |
_a"The field of statistics has a rich history that has become tightly integrated into the emerging field of data sciences. Collaboration with computer scientists, numerical analysts, and decision makers characterizes the field. The role of statistics and statisticians is to find actionable information in a noisy collection of data. Every field of academic endeavor encounters this problem: from the electrical engineer trying to find a signal in a noisy channel to an English professor trying to determine the authorship of a contested newly discovered manuscript. There are two basic tasks for the statistician. First is to characterize the distribution of possible outcomes using a batch of representative data. An actuary may be asked to find a dollar loss for car accidents that is not exceeded 99.999% of the time. An economist may be asked to provide useful summaries of a collection of income data. The histogram is our primary tool here, an idea that did not appear until the 17th century; see Graunt (1662)."-- _cProvided by publisher. |
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| 650 | 0 | _aStatistics. | |
| 776 | 0 | 8 |
_iOnline version: _aScott, David W., _tStatistics _dHoboken, NJ : Wiley, 2020. _z9781119675815 _w(DLC) 2020024703 |
| 906 |
_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg |
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_2ddc _cBK _e23 _h519.5 _iSco832s _kCIR _m2020 _n0 |
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| 999 |
_c29905 _d29905 |
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