| 000 | 02465nam a22003375i 4500 | ||
|---|---|---|---|
| 001 | 91295 | ||
| 005 | 20231026104003.0 | ||
| 010 |
_a978-3-030-97371-1 _dcompra |
||
| 090 | _a91295 | ||
| 100 | _a20231023d2022 k||y0pory50 ba | ||
| 101 | 0 | _aeng | |
| 102 | _aCH | ||
| 200 | 1 |
_aAn introduction to statistics with python _bDocumento eletrónico _ewith applications in the life sciences _fby Thomas Haslwanter |
|
| 205 | _a2nd ed. | ||
| 210 |
_aCham _cSpringer International Publishing _cSpringer _d2022 |
||
| 215 |
_aXVI, 336 p. _cil. |
||
| 225 | 2 | _aStatistics and Computing | |
| 303 | _aNow in its second edition, this textbook provides an introduction to Python and its use for statistical data analysis. It covers common statistical tests for continuous, discrete and categorical data, as well as linear regression analysis and topics from survival analysis and Bayesian statistics. For this new edition, the introductory chapters on Python, data input and visualization have been reworked and updated. The chapter on experimental design has been expanded, and programs for the determination of confidence intervals commonly used in quality control have been introduced. The book also features a new chapter on finding patterns in data, including time series. A new appendix describes useful programming tools, such as testing tools, code repositories, and GUIs. The provided working code for Python solutions, together with easy-to-follow examples, will reinforce the reader's immediate understanding of the topic. Accompanying data sets and Python programs are also available online. With recent advances in the Python ecosystem, Python has become a popular language for scientific computing, offering a powerful environment for statistical data analysis. With examples drawn mainly from the life and medical sciences, this book is intended primarily for masters and PhD students. As it provides the required statistics background, the book can also be used by anyone who wants to perform a statistical data analysis. . | ||
| 606 |
_aStatistics _xComputer programs |
||
| 606 | _aStatistics | ||
| 606 | _aQuantitative research | ||
| 606 | _aBiometry | ||
| 606 |
_aArtificial intelligence _xData processing |
||
| 606 |
_aMathematical statistics _xData processing |
||
| 680 | _aQA276.4-.45 | ||
| 700 | 1 |
_aHaslwanter _bThomas |
|
| 801 | 0 |
_aPT _gRPC |
|
| 856 | 4 | _uhttps://doi.org/10.1007/978-3-030-97371-1 | |
| 942 |
_2lcc _cF _n0 |
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