Statistical computing with R:
Computational statistics and statistical computing are two areas that employ computational, graphical, and numerical approaches to solve statistical problems, making the versatile R language an ideal computing environment for these fields. This second edition continues to encompass the traditional c...
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Boca Raton ; London ; New York
CRC Press, Taylor & Francis Group
[2019]
|
| Edition: | Second edition |
| Series: | The R Series
|
| Subjects: | |
| Online Access: | TUM01 |
| Summary: | Computational statistics and statistical computing are two areas that employ computational, graphical, and numerical approaches to solve statistical problems, making the versatile R language an ideal computing environment for these fields. This second edition continues to encompass the traditional core material of computational statistics, with an |
| Physical Description: | 1 Online-Ressource Illustrationen |
| ISBN: | 9781466553330 9780429192760 0429192762 1466553332 9780429527760 0429527764 9780429542466 0429542461 |
Staff View
MARC
| LEADER | 00000nmm a2200000 c 4500 | ||
|---|---|---|---|
| 001 | BV045872845 | ||
| 003 | DE-604 | ||
| 005 | 20190729 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 190513s2019 |||| o||u| ||||||eng d | ||
| 020 | |a 9781466553330 |c Online |9 978-1-466-55333-0 | ||
| 020 | |a 9780429192760 |c Online |9 9780429192760 | ||
| 020 | |a 0429192762 |9 0429192762 | ||
| 020 | |a 1466553332 |9 1466553332 | ||
| 020 | |a 9780429527760 |9 9780429527760 | ||
| 020 | |a 0429527764 |9 0429527764 | ||
| 020 | |a 9780429542466 |9 9780429542466 | ||
| 020 | |a 0429542461 |9 0429542461 | ||
| 024 | 3 | |a 9780429192760 | |
| 035 | |a (OCoLC)1104887646 | ||
| 035 | |a (DE-599)BVBBV045872845 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-91G | ||
| 084 | |a QH 231 |0 (DE-625)141546: |2 rvk | ||
| 084 | |a ST 250 |0 (DE-625)143626: |2 rvk | ||
| 084 | |a ST 601 |0 (DE-625)143682: |2 rvk | ||
| 084 | |a DAT 368f |2 stub | ||
| 084 | |a MAT 620f |2 stub | ||
| 100 | 1 | |a Rizzo, Maria L. |e Verfasser |0 (DE-588)1089584350 |4 aut | |
| 245 | 1 | 0 | |a Statistical computing with R |c Maria L. Rizzo |
| 250 | |a Second edition | ||
| 264 | 1 | |a Boca Raton ; London ; New York |b CRC Press, Taylor & Francis Group |c [2019] | |
| 300 | |a 1 Online-Ressource |b Illustrationen | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 490 | 0 | |a The R Series | |
| 505 | 8 | |a Introduction. Probability and Statistics Review. Methods for Generating Random Variables. Visualization of Multivariate Data. Monte Carlo Integration and Variance Reduction. Monte Carlo Methods in Inference. Bootstrap and Jackknife. Permutation Tests. Markov Chain Monte Carlo Methods. Probability Density Estimation. Smoothing and Nonparametric Regression. High Dimensional Data. Numerical Methods in R. Optimization | |
| 520 | 3 | |a Computational statistics and statistical computing are two areas that employ computational, graphical, and numerical approaches to solve statistical problems, making the versatile R language an ideal computing environment for these fields. This second edition continues to encompass the traditional core material of computational statistics, with an | |
| 650 | 0 | 7 | |a R |g Programm |0 (DE-588)4705956-4 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Statistische Analyse |0 (DE-588)4116599-8 |2 gnd |9 rswk-swf |
| 653 | 0 | |a BUSINESS & ECONOMICS / Statistics | |
| 653 | 0 | |a MATHEMATICS / Probability & Statistics / General | |
| 653 | 0 | |a REFERENCE / General | |
| 653 | 0 | |a Mathematical statistics / Data processing | |
| 653 | 0 | |a Statistics / Data processing | |
| 653 | 0 | |a R (Computer program language) | |
| 653 | 6 | |a Electronic books | |
| 689 | 0 | 0 | |a Statistische Analyse |0 (DE-588)4116599-8 |D s |
| 689 | 0 | 1 | |a R |g Programm |0 (DE-588)4705956-4 |D s |
| 689 | 0 | |5 DE-604 | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe, Hardcover |z 978-1-466-55332-3 |
| 912 | |a ZDB-30-PQE | ||
| 999 | |a oai:aleph.bib-bvb.de:BVB01-031256150 | ||
| 966 | e | |u https://ebookcentral.proquest.com/lib/munchentech/detail.action?docID=5731927 |l TUM01 |p ZDB-30-PQE |q TUM_Einzelkauf |x Aggregator |3 Volltext | |
Record in the Search Index
| _version_ | 1804180015742451712 |
|---|---|
| any_adam_object | |
| author | Rizzo, Maria L. |
| author_GND | (DE-588)1089584350 |
| author_facet | Rizzo, Maria L. |
| author_role | aut |
| author_sort | Rizzo, Maria L. |
| author_variant | m l r ml mlr |
| building | Verbundindex |
| bvnumber | BV045872845 |
| classification_rvk | QH 231 ST 250 ST 601 |
| classification_tum | DAT 368f MAT 620f |
| collection | ZDB-30-PQE |
| contents | Introduction. Probability and Statistics Review. Methods for Generating Random Variables. Visualization of Multivariate Data. Monte Carlo Integration and Variance Reduction. Monte Carlo Methods in Inference. Bootstrap and Jackknife. Permutation Tests. Markov Chain Monte Carlo Methods. Probability Density Estimation. Smoothing and Nonparametric Regression. High Dimensional Data. Numerical Methods in R. Optimization |
| ctrlnum | (OCoLC)1104887646 (DE-599)BVBBV045872845 |
| discipline | Informatik Mathematik Wirtschaftswissenschaften |
| edition | Second edition |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03044nmm a2200637 c 4500</leader><controlfield tag="001">BV045872845</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20190729 </controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">190513s2019 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781466553330</subfield><subfield code="c">Online</subfield><subfield code="9">978-1-466-55333-0</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780429192760</subfield><subfield code="c">Online</subfield><subfield code="9">9780429192760</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">0429192762</subfield><subfield code="9">0429192762</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1466553332</subfield><subfield code="9">1466553332</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780429527760</subfield><subfield code="9">9780429527760</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">0429527764</subfield><subfield code="9">0429527764</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780429542466</subfield><subfield code="9">9780429542466</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">0429542461</subfield><subfield code="9">0429542461</subfield></datafield><datafield tag="024" ind1="3" ind2=" "><subfield code="a">9780429192760</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1104887646</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV045872845</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91G</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">QH 231</subfield><subfield code="0">(DE-625)141546:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 250</subfield><subfield code="0">(DE-625)143626:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 601</subfield><subfield code="0">(DE-625)143682:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">DAT 368f</subfield><subfield code="2">stub</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">MAT 620f</subfield><subfield code="2">stub</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Rizzo, Maria L.</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1089584350</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Statistical computing with R</subfield><subfield code="c">Maria L. Rizzo</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">Second edition</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Boca Raton ; London ; New York</subfield><subfield code="b">CRC Press, Taylor & Francis Group</subfield><subfield code="c">[2019]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource</subfield><subfield code="b">Illustrationen</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">The R Series</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">Introduction. Probability and Statistics Review. Methods for Generating Random Variables. Visualization of Multivariate Data. Monte Carlo Integration and Variance Reduction. Monte Carlo Methods in Inference. Bootstrap and Jackknife. Permutation Tests. Markov Chain Monte Carlo Methods. Probability Density Estimation. Smoothing and Nonparametric Regression. High Dimensional Data. Numerical Methods in R. Optimization</subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="a">Computational statistics and statistical computing are two areas that employ computational, graphical, and numerical approaches to solve statistical problems, making the versatile R language an ideal computing environment for these fields. This second edition continues to encompass the traditional core material of computational statistics, with an</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">R</subfield><subfield code="g">Programm</subfield><subfield code="0">(DE-588)4705956-4</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Statistische Analyse</subfield><subfield code="0">(DE-588)4116599-8</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">BUSINESS & ECONOMICS / Statistics</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">MATHEMATICS / Probability & Statistics / General</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">REFERENCE / General</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Mathematical statistics / Data processing</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Statistics / Data processing</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">R (Computer program language)</subfield></datafield><datafield tag="653" ind1=" " ind2="6"><subfield code="a">Electronic books</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Statistische Analyse</subfield><subfield code="0">(DE-588)4116599-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">R</subfield><subfield code="g">Programm</subfield><subfield code="0">(DE-588)4705956-4</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe, Hardcover</subfield><subfield code="z">978-1-466-55332-3</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-PQE</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-031256150</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://ebookcentral.proquest.com/lib/munchentech/detail.action?docID=5731927</subfield><subfield code="l">TUM01</subfield><subfield code="p">ZDB-30-PQE</subfield><subfield code="q">TUM_Einzelkauf</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV045872845 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:29:03Z |
| institution | BVB |
| isbn | 9781466553330 9780429192760 0429192762 1466553332 9780429527760 0429527764 9780429542466 0429542461 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031256150 |
| oclc_num | 1104887646 |
| open_access_boolean | |
| owner | DE-91G DE-BY-TUM |
| owner_facet | DE-91G DE-BY-TUM |
| physical | 1 Online-Ressource Illustrationen |
| psigel | ZDB-30-PQE ZDB-30-PQE TUM_Einzelkauf |
| publishDate | 2019 |
| publishDateSearch | 2019 |
| publishDateSort | 2019 |
| publisher | CRC Press, Taylor & Francis Group |
| record_format | marc |
| series2 | The R Series |
| spelling | Rizzo, Maria L. Verfasser (DE-588)1089584350 aut Statistical computing with R Maria L. Rizzo Second edition Boca Raton ; London ; New York CRC Press, Taylor & Francis Group [2019] 1 Online-Ressource Illustrationen txt rdacontent c rdamedia cr rdacarrier The R Series Introduction. Probability and Statistics Review. Methods for Generating Random Variables. Visualization of Multivariate Data. Monte Carlo Integration and Variance Reduction. Monte Carlo Methods in Inference. Bootstrap and Jackknife. Permutation Tests. Markov Chain Monte Carlo Methods. Probability Density Estimation. Smoothing and Nonparametric Regression. High Dimensional Data. Numerical Methods in R. Optimization Computational statistics and statistical computing are two areas that employ computational, graphical, and numerical approaches to solve statistical problems, making the versatile R language an ideal computing environment for these fields. This second edition continues to encompass the traditional core material of computational statistics, with an R Programm (DE-588)4705956-4 gnd rswk-swf Statistische Analyse (DE-588)4116599-8 gnd rswk-swf BUSINESS & ECONOMICS / Statistics MATHEMATICS / Probability & Statistics / General REFERENCE / General Mathematical statistics / Data processing Statistics / Data processing R (Computer program language) Electronic books Statistische Analyse (DE-588)4116599-8 s R Programm (DE-588)4705956-4 s DE-604 Erscheint auch als Druck-Ausgabe, Hardcover 978-1-466-55332-3 |
| spellingShingle | Rizzo, Maria L. Statistical computing with R Introduction. Probability and Statistics Review. Methods for Generating Random Variables. Visualization of Multivariate Data. Monte Carlo Integration and Variance Reduction. Monte Carlo Methods in Inference. Bootstrap and Jackknife. Permutation Tests. Markov Chain Monte Carlo Methods. Probability Density Estimation. Smoothing and Nonparametric Regression. High Dimensional Data. Numerical Methods in R. Optimization R Programm (DE-588)4705956-4 gnd Statistische Analyse (DE-588)4116599-8 gnd |
| subject_GND | (DE-588)4705956-4 (DE-588)4116599-8 |
| title | Statistical computing with R |
| title_auth | Statistical computing with R |
| title_exact_search | Statistical computing with R |
| title_full | Statistical computing with R Maria L. Rizzo |
| title_fullStr | Statistical computing with R Maria L. Rizzo |
| title_full_unstemmed | Statistical computing with R Maria L. Rizzo |
| title_short | Statistical computing with R |
| title_sort | statistical computing with r |
| topic | R Programm (DE-588)4705956-4 gnd Statistische Analyse (DE-588)4116599-8 gnd |
| topic_facet | R Programm Statistische Analyse |
| work_keys_str_mv | AT rizzomarial statisticalcomputingwithr |