| 000 | 03557nam a22005415i 4500 | ||
|---|---|---|---|
| 001 | 978-3-031-55855-9 | ||
| 003 | DE-He213 | ||
| 005 | 20251030114620.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 241216s2024 sz | s |||| 0|eng d | ||
| 020 |
_a9783031558559 _9978-3-031-55855-9 |
||
| 024 | 7 |
_a10.1007/978-3-031-55855-9 _2doi |
|
| 050 | 4 | _aQA276-280 | |
| 072 | 7 |
_aPBT _2bicssc |
|
| 072 | 7 |
_aMAT029000 _2bisacsh |
|
| 072 | 7 |
_aPBT _2thema |
|
| 100 | 1 |
_aRudas, Tamás. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _988987 |
|
| 245 | 1 | 0 |
_aLectures on Advanced Topics in Categorical Data Analysis _h[electronic resource] / _cby Tamás Rudas. |
| 250 | _a1st ed. 2024. | ||
| 264 | 1 |
_aCham : _bSpringer Nature Switzerland : _bImprint: Springer, _c2024. |
|
| 300 |
_aXII, 377 p. 29 illus., 4 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 |
_aSpringer Texts in Statistics, _x2197-4136 |
|
| 505 | 0 | _a1. Introduction -- 2. Undirected graphical models -- 3. Directed graphical models -- 4. Marginal models: definition -- 5. Marginal log-linear models: applications -- 6. Path models -- 7. Relational models: definition and interpretation -- 8. Relational models as exponential families -- 9. Relational models: estimation and testing -- 10. Model testing -- 11. The mixture index of fit. | |
| 520 | _aThis book continues the mission of the previous text by the author, Lectures on Categorical Data Analysis, by expanding on the introductory concepts from that volume and providing a mathematically rigorous presentation of advanced topics and current research in statistical techniques which can be applied in the social, political, behavioral, and life sciences. It presents an intuitive and unified discussion of an array of themes in categorical data analysis, and the emphasis on structure over stochastics renders many of the methods applicable in machine learning environments and for the analysis of big data. The book focuses on graphical models, their application in causal analysis, the analytical properties of parameterizations of multivariate discrete distributions, marginal models, and coordinate-free relational models. To guide the readers in future research, the volume provides references to original papers and also offers detailed proofs of most of the significant results. Like the previous volume, it features exercises and research questions, making it appropriate for graduate students, as well as for active researchers. | ||
| 650 | 0 |
_aStatistics. _965982 |
|
| 650 | 0 |
_aSocial sciences _xStatistical methods. _975236 |
|
| 650 | 0 |
_aBiometry. _965981 |
|
| 650 | 1 | 4 | _aStatistical Theory and Methods. |
| 650 | 2 | 4 |
_aStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy. _975237 |
| 650 | 2 | 4 |
_aBiostatistics. _965985 |
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031558542 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031558566 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031558573 |
| 830 | 0 |
_aSpringer Texts in Statistics, _x2197-4136 _972551 |
|
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-55855-9 |
| 912 | _aZDB-2-SMA | ||
| 912 | _aZDB-2-SXMS | ||
| 999 |
_c65741 _d65741 |
||