Robustness theory and application:
A preeminent expert in the field explores new and exciting methodologies in the ever-growing field of robust statistics Used to develop data analytical methods, which are resistant to outlying observations in the data, while capable of detecting outliers, robust statistics is extremely useful for so...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hoboken, NJ
John Wiley & Sons
2018
|
| Schriftenreihe: | Wiley series in probability and statistics
|
| Schlagworte: | |
| Online-Zugang: | UBY01 Volltext |
| Zusammenfassung: | A preeminent expert in the field explores new and exciting methodologies in the ever-growing field of robust statistics Used to develop data analytical methods, which are resistant to outlying observations in the data, while capable of detecting outliers, robust statistics is extremely useful for solving an array of common problems, such as estimating location, scale, and regression parameters. Written by an internationally recognized expert in the field of robust statistics, this book addresses a range of well-established techniques while exploring, in depth, new and exciting methodologies. Local robustness and global robustness are discussed, and problems of non-identifiability and adaptive estimation are considered. Rather than attempt an exhaustive investigation of robustness, the author provides readers with a timely review of many of the most important problems in statistical inference involving robust estimation, along with a brief look at confidence intervals for location. Throughout, the author meticulously links research in maximum likelihood estimation with the more general M-estimation methodology. Specific applications and R and some MATLAB subroutines with accompanying data sets-available both in the text and online-are employed wherever appropriate. Providing invaluable insights and guidance, Robustness Theory and Application: -Offers a balanced presentation of theory and applications within each topic-specific discussion -Features solved examples throughout which help clarify complex and/or difficult concepts -Meticulously links research in maximum likelihood type estimation with the more general M-estimation methodology -Delves into new methodologies which have been developed over the past decade without stinting on coverage of "tried-and-true" methodologies -Includes R and some MATLAB subroutines with accompanying data sets, which help illustrate the power of the methods described Robustness Theory and Application is an important resource for all statisticians interested in the topic of robust statistics. This book encompasses both past and present research, making it a valuable supplemental text for graduate-level courses in robustness |
| Beschreibung: | 1 Online-Ressource |
| ISBN: | 9781118669471 1118669479 9781118669372 1118669371 9781118669464 1118669460 |
Internformat
MARC
| LEADER | 00000nmm a2200000 c 4500 | ||
|---|---|---|---|
| 001 | BV047190427 | ||
| 003 | DE-604 | ||
| 005 | 00000000000000.0 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 210311s2018 |||| o||u| ||||||eng d | ||
| 020 | |a 9781118669471 |9 9781118669471 | ||
| 020 | |a 1118669479 |9 1118669479 | ||
| 020 | |a 9781118669372 |9 9781118669372 | ||
| 020 | |a 1118669371 |9 1118669371 | ||
| 020 | |a 9781118669464 |9 9781118669464 | ||
| 020 | |a 1118669460 |9 1118669460 | ||
| 035 | |a (ZDB-35-WIC)9781118669471 | ||
| 035 | |a (OCoLC)1241670498 | ||
| 035 | |a (DE-599)BVBBV047190427 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-706 | ||
| 100 | 1 | |a Clarke, Brenton R. |e Verfasser |0 (DE-588)136186076 |4 aut | |
| 245 | 1 | 0 | |a Robustness theory and application |c Brenton R. Clarke |
| 264 | 1 | |a Hoboken, NJ |b John Wiley & Sons |c 2018 | |
| 300 | |a 1 Online-Ressource | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 490 | 0 | |a Wiley series in probability and statistics | |
| 505 | 8 | |a Introduction to asymptotic convergence -- The functional approach -- More results on differentiability -- Multiple roots -- Differentiability and bias reduction -- Minimum distance estimation and mixture estimation -- L-estimates and trimmed likelihood estimates -- Trimmed likelihood for multivariate data -- Further directions and conclusion | |
| 520 | 3 | |a A preeminent expert in the field explores new and exciting methodologies in the ever-growing field of robust statistics Used to develop data analytical methods, which are resistant to outlying observations in the data, while capable of detecting outliers, robust statistics is extremely useful for solving an array of common problems, such as estimating location, scale, and regression parameters. Written by an internationally recognized expert in the field of robust statistics, this book addresses a range of well-established techniques while exploring, in depth, new and exciting methodologies. Local robustness and global robustness are discussed, and problems of non-identifiability and adaptive estimation are considered. Rather than attempt an exhaustive investigation of robustness, the author provides readers with a timely review of many of the most important problems in statistical inference involving robust estimation, along with a brief look at confidence intervals for location. | |
| 520 | 3 | |a Throughout, the author meticulously links research in maximum likelihood estimation with the more general M-estimation methodology. Specific applications and R and some MATLAB subroutines with accompanying data sets-available both in the text and online-are employed wherever appropriate. | |
| 520 | 3 | |a Providing invaluable insights and guidance, Robustness Theory and Application: -Offers a balanced presentation of theory and applications within each topic-specific discussion -Features solved examples throughout which help clarify complex and/or difficult concepts -Meticulously links research in maximum likelihood type estimation with the more general M-estimation methodology -Delves into new methodologies which have been developed over the past decade without stinting on coverage of "tried-and-true" methodologies -Includes R and some MATLAB subroutines with accompanying data sets, which help illustrate the power of the methods described Robustness Theory and Application is an important resource for all statisticians interested in the topic of robust statistics. This book encompasses both past and present research, making it a valuable supplemental text for graduate-level courses in robustness | |
| 653 | 0 | |a Robust statistics | |
| 653 | 0 | |a MATHEMATICS / Applied | |
| 653 | 0 | |a MATHEMATICS / Probability & Statistics / General | |
| 653 | 0 | |a Robust statistics | |
| 653 | 6 | |a Electronic books | |
| 776 | 0 | 8 | |i Print version |a Clarke, Brenton R. |t Robustness theory and application |d Hoboken, NJ : John Wiley & Sons, 2018 |z 9781118669303 |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 1118669460 |
| 856 | 4 | 0 | |u https://onlinelibrary.wiley.com/doi/book/10.1002/9781118669471 |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
| 912 | |a ZDB-35-WIC | ||
| 999 | |a oai:aleph.bib-bvb.de:BVB01-032595632 | ||
| 966 | e | |u https://onlinelibrary.wiley.com/doi/book/10.1002/9781118669471 |l UBY01 |p ZDB-35-WIC |q UBY_PDA_WIC_Kauf |x Verlag |3 Volltext | |
Datensatz im Suchindex
| _version_ | 1804182288697655296 |
|---|---|
| adam_txt | |
| any_adam_object | |
| any_adam_object_boolean | |
| author | Clarke, Brenton R. |
| author_GND | (DE-588)136186076 |
| author_facet | Clarke, Brenton R. |
| author_role | aut |
| author_sort | Clarke, Brenton R. |
| author_variant | b r c br brc |
| building | Verbundindex |
| bvnumber | BV047190427 |
| collection | ZDB-35-WIC |
| contents | Introduction to asymptotic convergence -- The functional approach -- More results on differentiability -- Multiple roots -- Differentiability and bias reduction -- Minimum distance estimation and mixture estimation -- L-estimates and trimmed likelihood estimates -- Trimmed likelihood for multivariate data -- Further directions and conclusion |
| ctrlnum | (ZDB-35-WIC)9781118669471 (OCoLC)1241670498 (DE-599)BVBBV047190427 |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>04348nmm a2200505 c 4500</leader><controlfield tag="001">BV047190427</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">210311s2018 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781118669471</subfield><subfield code="9">9781118669471</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1118669479</subfield><subfield code="9">1118669479</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781118669372</subfield><subfield code="9">9781118669372</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1118669371</subfield><subfield code="9">1118669371</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781118669464</subfield><subfield code="9">9781118669464</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1118669460</subfield><subfield code="9">1118669460</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-35-WIC)9781118669471</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1241670498</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV047190427</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-706</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Clarke, Brenton R.</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)136186076</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Robustness theory and application</subfield><subfield code="c">Brenton R. Clarke</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Hoboken, NJ</subfield><subfield code="b">John Wiley & Sons</subfield><subfield code="c">2018</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource</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">Wiley series in probability and statistics</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">Introduction to asymptotic convergence -- The functional approach -- More results on differentiability -- Multiple roots -- Differentiability and bias reduction -- Minimum distance estimation and mixture estimation -- L-estimates and trimmed likelihood estimates -- Trimmed likelihood for multivariate data -- Further directions and conclusion</subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="a">A preeminent expert in the field explores new and exciting methodologies in the ever-growing field of robust statistics Used to develop data analytical methods, which are resistant to outlying observations in the data, while capable of detecting outliers, robust statistics is extremely useful for solving an array of common problems, such as estimating location, scale, and regression parameters. Written by an internationally recognized expert in the field of robust statistics, this book addresses a range of well-established techniques while exploring, in depth, new and exciting methodologies. Local robustness and global robustness are discussed, and problems of non-identifiability and adaptive estimation are considered. Rather than attempt an exhaustive investigation of robustness, the author provides readers with a timely review of many of the most important problems in statistical inference involving robust estimation, along with a brief look at confidence intervals for location. </subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="a">Throughout, the author meticulously links research in maximum likelihood estimation with the more general M-estimation methodology. Specific applications and R and some MATLAB subroutines with accompanying data sets-available both in the text and online-are employed wherever appropriate. </subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="a">Providing invaluable insights and guidance, Robustness Theory and Application: -Offers a balanced presentation of theory and applications within each topic-specific discussion -Features solved examples throughout which help clarify complex and/or difficult concepts -Meticulously links research in maximum likelihood type estimation with the more general M-estimation methodology -Delves into new methodologies which have been developed over the past decade without stinting on coverage of "tried-and-true" methodologies -Includes R and some MATLAB subroutines with accompanying data sets, which help illustrate the power of the methods described Robustness Theory and Application is an important resource for all statisticians interested in the topic of robust statistics. This book encompasses both past and present research, making it a valuable supplemental text for graduate-level courses in robustness</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Robust statistics</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">MATHEMATICS / Applied</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">Robust statistics</subfield></datafield><datafield tag="653" ind1=" " ind2="6"><subfield code="a">Electronic books</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Print version</subfield><subfield code="a">Clarke, Brenton R.</subfield><subfield code="t">Robustness theory and application</subfield><subfield code="d">Hoboken, NJ : John Wiley & Sons, 2018</subfield><subfield code="z">9781118669303</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">1118669460</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://onlinelibrary.wiley.com/doi/book/10.1002/9781118669471</subfield><subfield code="x">Verlag</subfield><subfield code="z">URL des Erstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-35-WIC</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-032595632</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://onlinelibrary.wiley.com/doi/book/10.1002/9781118669471</subfield><subfield code="l">UBY01</subfield><subfield code="p">ZDB-35-WIC</subfield><subfield code="q">UBY_PDA_WIC_Kauf</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV047190427 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T16:47:41Z |
| indexdate | 2024-07-10T09:05:10Z |
| institution | BVB |
| isbn | 9781118669471 1118669479 9781118669372 1118669371 9781118669464 1118669460 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032595632 |
| oclc_num | 1241670498 |
| open_access_boolean | |
| owner | DE-706 |
| owner_facet | DE-706 |
| physical | 1 Online-Ressource |
| psigel | ZDB-35-WIC ZDB-35-WIC UBY_PDA_WIC_Kauf |
| publishDate | 2018 |
| publishDateSearch | 2018 |
| publishDateSort | 2018 |
| publisher | John Wiley & Sons |
| record_format | marc |
| series2 | Wiley series in probability and statistics |
| spelling | Clarke, Brenton R. Verfasser (DE-588)136186076 aut Robustness theory and application Brenton R. Clarke Hoboken, NJ John Wiley & Sons 2018 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier Wiley series in probability and statistics Introduction to asymptotic convergence -- The functional approach -- More results on differentiability -- Multiple roots -- Differentiability and bias reduction -- Minimum distance estimation and mixture estimation -- L-estimates and trimmed likelihood estimates -- Trimmed likelihood for multivariate data -- Further directions and conclusion A preeminent expert in the field explores new and exciting methodologies in the ever-growing field of robust statistics Used to develop data analytical methods, which are resistant to outlying observations in the data, while capable of detecting outliers, robust statistics is extremely useful for solving an array of common problems, such as estimating location, scale, and regression parameters. Written by an internationally recognized expert in the field of robust statistics, this book addresses a range of well-established techniques while exploring, in depth, new and exciting methodologies. Local robustness and global robustness are discussed, and problems of non-identifiability and adaptive estimation are considered. Rather than attempt an exhaustive investigation of robustness, the author provides readers with a timely review of many of the most important problems in statistical inference involving robust estimation, along with a brief look at confidence intervals for location. Throughout, the author meticulously links research in maximum likelihood estimation with the more general M-estimation methodology. Specific applications and R and some MATLAB subroutines with accompanying data sets-available both in the text and online-are employed wherever appropriate. Providing invaluable insights and guidance, Robustness Theory and Application: -Offers a balanced presentation of theory and applications within each topic-specific discussion -Features solved examples throughout which help clarify complex and/or difficult concepts -Meticulously links research in maximum likelihood type estimation with the more general M-estimation methodology -Delves into new methodologies which have been developed over the past decade without stinting on coverage of "tried-and-true" methodologies -Includes R and some MATLAB subroutines with accompanying data sets, which help illustrate the power of the methods described Robustness Theory and Application is an important resource for all statisticians interested in the topic of robust statistics. This book encompasses both past and present research, making it a valuable supplemental text for graduate-level courses in robustness Robust statistics MATHEMATICS / Applied MATHEMATICS / Probability & Statistics / General Electronic books Print version Clarke, Brenton R. Robustness theory and application Hoboken, NJ : John Wiley & Sons, 2018 9781118669303 Erscheint auch als Druck-Ausgabe 1118669460 https://onlinelibrary.wiley.com/doi/book/10.1002/9781118669471 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Clarke, Brenton R. Robustness theory and application Introduction to asymptotic convergence -- The functional approach -- More results on differentiability -- Multiple roots -- Differentiability and bias reduction -- Minimum distance estimation and mixture estimation -- L-estimates and trimmed likelihood estimates -- Trimmed likelihood for multivariate data -- Further directions and conclusion |
| title | Robustness theory and application |
| title_auth | Robustness theory and application |
| title_exact_search | Robustness theory and application |
| title_exact_search_txtP | Robustness theory and application |
| title_full | Robustness theory and application Brenton R. Clarke |
| title_fullStr | Robustness theory and application Brenton R. Clarke |
| title_full_unstemmed | Robustness theory and application Brenton R. Clarke |
| title_short | Robustness theory and application |
| title_sort | robustness theory and application |
| url | https://onlinelibrary.wiley.com/doi/book/10.1002/9781118669471 |
| work_keys_str_mv | AT clarkebrentonr robustnesstheoryandapplication |