| 000 | 03459nam a22005295i 4500 | ||
|---|---|---|---|
| 001 | 978-3-031-73164-8 | ||
| 003 | DE-He213 | ||
| 005 | 20251030114619.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 241215s2024 sz | s |||| 0|eng d | ||
| 020 |
_a9783031731648 _9978-3-031-73164-8 |
||
| 024 | 7 |
_a10.1007/978-3-031-73164-8 _2doi |
|
| 050 | 4 | _aTA345-345.5 | |
| 072 | 7 |
_aUN _2bicssc |
|
| 072 | 7 |
_aCOM018000 _2bisacsh |
|
| 072 | 7 |
_aUN _2thema |
|
| 100 | 1 |
_aAltmann, Eduardo G. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _988979 |
|
| 245 | 1 | 0 |
_aStatistical Laws in Complex Systems _h[electronic resource] : _bCombining Mechanistic Models and Data Analysis / _cby Eduardo G. Altmann. |
| 250 | _a1st ed. 2024. | ||
| 264 | 1 |
_aCham : _bSpringer Nature Switzerland : _bImprint: Springer, _c2024. |
|
| 300 |
_aXIII, 140 p. 30 illus., 29 illus. in color. _bonline resource. |
||
| 336 |
_atext _btxt _2rdacontent |
||
| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
||
| 347 |
_atext file _bPDF _2rda |
||
| 490 | 1 |
_aUnderstanding Complex Systems, _x1860-0840 |
|
| 505 | 0 | _aIntroduction -- Examples of statistical laws -- From data to laws -- Synthesis statistical laws in context -- Datasets and Codes. | |
| 520 | _aThis book provides a unifying approach to the study of statistical laws, critically evaluating their role in the theoretical understanding of complex systems and the different data-analysis methods used to evaluate them. Statistical laws describe regular patterns observed in diverse scientific domains, ranging from the magnitude of earthquakes (Gutenberg-Richter law) and metabolic rates in organisms (Kleiber's law), to the frequency distribution of words in texts (Zipf's and Herdan-Heaps' laws), and productivity metrics of cities (urban scaling laws). The origins of these laws, their empirical validity, and the insights they provide into underlying systems have been subjects of scientific inquiry for centuries. Through a historical review and a unified analysis, this book argues that the persistent controversies on the validity of statistical laws are predominantly rooted not in novel empirical findings but in the discordance among data-analysis techniques, mechanistic models, and the interpretations of statistical laws. Starting with simple examples and progressing to more advanced time-series and statistical methods, this book and its accompanying repository provide comprehensive material for researchers interested in analyzing data, testing and comparing different laws, and interpreting results in both existing and new datasets. | ||
| 650 | 0 |
_aEngineering _xData processing. |
|
| 650 | 0 |
_aDynamics. _965524 |
|
| 650 | 0 |
_aNonlinear theories. _965525 |
|
| 650 | 1 | 4 |
_aData Engineering. _966059 |
| 650 | 2 | 4 |
_aApplied Dynamical Systems. _965530 |
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031731631 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031731655 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031731662 |
| 830 | 0 |
_aUnderstanding Complex Systems, _x1860-0840 _967707 |
|
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-73164-8 |
| 912 | _aZDB-2-INR | ||
| 912 | _aZDB-2-SXIT | ||
| 999 |
_c65736 _d65736 |
||