| 000 | 01717nam a22003135i 4500 | ||
|---|---|---|---|
| 001 | 91841 | ||
| 005 | 20240322100111.0 | ||
| 010 |
_a978-3-030-47479-9 _dcompra |
||
| 090 | _a91841 | ||
| 100 | _a20231023d2020 k||y0pory50 ba | ||
| 101 | 0 | _aeng | |
| 102 |
_aCH _bCham |
||
| 200 | 1 |
_aPrimer for data analytics and graduate study in statistics _bDocumento eletrónico _fDouglas Wolfe, Grant Schneider |
|
| 210 |
_aCham _cSpringer International Publishing _d2020 |
||
| 215 |
_aX, 233 p. _cil. |
||
| 303 | _aThis book is specially designed to refresh and elevate the level of understanding of the foundational background in probability and distributional theory required to be successful in a graduate-level statistics program. Advanced undergraduate students and introductory graduate students from a variety of quantitative backgrounds will benefit from the transitional bridge that this volume offers, from a more generalized study of undergraduate mathematics and statistics to the career-focused, applied education at the graduate level. In particular, it focuses on growing fields that will be of potential interest to future M.S. and Ph.D. students, as well as advanced undergraduates heading directly into the workplace: data analytics, statistics and biostatistics, and related areas. | ||
| 606 | _aStatistics | ||
| 606 | _aQuantitative research | ||
| 606 | _aData structures (Computer science) | ||
| 606 | _aInformation theory | ||
| 606 | _aProbabilities | ||
| 680 | _aQA276-280 | ||
| 700 |
_973306 _aWolfe _bDouglas |
||
| 701 |
_965261 _aSchneider _bGrant _4070 |
||
| 801 | 0 |
_aPT _gRPC |
|
| 856 | 4 | _uhttps://doi.org/10.1007/978-3-030-47479-9 | |
| 942 |
_2lcc _cF _n0 |
||