Introduction to robust estimation and hypothesis testing:
Introduction to Robust Estimating and Hypothesis Testing, 4th Editon,ïŽis a 'how-to' on the application of robust methods using available software. Modern robust methods provide improved techniques for dealing with outliers, skewed distribution curvature and heteroscedasticity that can pr...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Amsterdam
Academic Press
2017
|
| Ausgabe: | Fourth edition |
| Schriftenreihe: | Statistical Modeling and Decision Science
Statistical modeling and decision science |
| Schlagworte: | |
| Online-Zugang: | FAW01 URL des Erstveröffentlichers Volltext |
| Zusammenfassung: | Introduction to Robust Estimating and Hypothesis Testing, 4th Editon,ïŽis a 'how-to' on the application of robust methods using available software. Modern robust methods provide improved techniques for dealing with outliers, skewed distribution curvature and heteroscedasticity that can provide substantial gains in power as well as a deeper, more accurate and more nuanced understanding of data. Since the last edition, there have been numerous advances and improvements. They include new techniques for comparing groups and measuring effect size as well as new methods for comparing quantiles. Many new regression methods have been added that include both parametric and nonparametric techniques. The methods related to ANCOVA have been expanded considerably. New perspectives related to discrete distributions with a relatively small sample space are described as well as new results relevant to the shift function. The practical importance of these methods is illustrated using data from real world studies. The R package written for this book now contains over 1200 functions. New to this edition 35% revised contentCovers many new and improved R functionsNew techniques that deal with a wide range of situations |
| Beschreibung: | 1. Introduction 2. A Foundation for Robust Methods 3. Estimating Measures of Location and Scale 4. Confidence Intervals in the One-Sample Case 5. Comparing Two Groups 6. Some Multivariate Methods 7. One-Way and Higher Designs for Independent Groups 8. Comparing Multiple Dependent Groups 9. Correlation and Tests Of Independence 10. Robust Regression 11. More Regression Methods 12. ANCOVA Literaturverzeichnis Seite 741 - 777 Owing to Legal Deposit regulations this resource may only be accessed from within National Library of Scotland. For more information contact enquiries@nls.uk StEdNL Previous edition: 2012 |
| Beschreibung: | 1 Online-Ressource (XXIII, 786 Seiten) Illustrationen |
| ISBN: | 012804733X 012804781X 9780128047330 9780128047811 |
Internformat
MARC
| LEADER | 00000nmm a2200000 c 4500 | ||
|---|---|---|---|
| 001 | BV048902261 | ||
| 003 | DE-604 | ||
| 005 | 00000000000000.0 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 230417s2017 ne |||| o||u| ||||||eng d | ||
| 020 | |a 012804733X |c : electronic bk. |9 0-12-804733-X | ||
| 020 | |a 012804781X |c : electronic bk. |9 0-12-804781-X | ||
| 020 | |a 9780128047330 |c : electronic bk. |9 978-0-12-804733-0 | ||
| 020 | |a 9780128047811 |c : electronic bk. |9 978-0-12-804781-1 | ||
| 035 | |a (OCoLC)1376407629 | ||
| 035 | |a (DE-599)GBV881720216 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 044 | |a ne |c XA-NL | ||
| 049 | |a DE-1046 | ||
| 082 | 0 | |a 519.544 |2 23 | |
| 084 | |a SK 830 |0 (DE-625)143259: |2 rvk | ||
| 084 | |a QH 233 |0 (DE-625)141548: |2 rvk | ||
| 084 | |a CM 4000 |0 (DE-625)18951: |2 rvk | ||
| 084 | |a 31.73 |2 bkl | ||
| 100 | 1 | |a Wilcox, Rand R. |e Verfasser |0 (DE-588)141426241 |4 aut | |
| 245 | 1 | 0 | |a Introduction to robust estimation and hypothesis testing |c Rand R. Wilcox |
| 250 | |a Fourth edition | ||
| 264 | 1 | |a Amsterdam |b Academic Press |c 2017 | |
| 300 | |a 1 Online-Ressource (XXIII, 786 Seiten) |b Illustrationen | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 490 | 0 | |a Statistical Modeling and Decision Science | |
| 490 | 0 | |a Statistical modeling and decision science | |
| 500 | |a 1. Introduction 2. A Foundation for Robust Methods 3. Estimating Measures of Location and Scale 4. Confidence Intervals in the One-Sample Case 5. Comparing Two Groups 6. Some Multivariate Methods 7. One-Way and Higher Designs for Independent Groups 8. Comparing Multiple Dependent Groups 9. Correlation and Tests Of Independence 10. Robust Regression 11. More Regression Methods 12. ANCOVA | ||
| 500 | |a Literaturverzeichnis Seite 741 - 777 | ||
| 500 | |a Owing to Legal Deposit regulations this resource may only be accessed from within National Library of Scotland. For more information contact enquiries@nls.uk StEdNL | ||
| 500 | |a Previous edition: 2012 | ||
| 520 | 3 | |a Introduction to Robust Estimating and Hypothesis Testing, 4th Editon,ïŽis a 'how-to' on the application of robust methods using available software. Modern robust methods provide improved techniques for dealing with outliers, skewed distribution curvature and heteroscedasticity that can provide substantial gains in power as well as a deeper, more accurate and more nuanced understanding of data. Since the last edition, there have been numerous advances and improvements. They include new techniques for comparing groups and measuring effect size as well as new methods for comparing quantiles. Many new regression methods have been added that include both parametric and nonparametric techniques. The methods related to ANCOVA have been expanded considerably. New perspectives related to discrete distributions with a relatively small sample space are described as well as new results relevant to the shift function. The practical importance of these methods is illustrated using data from real world studies. The R package written for this book now contains over 1200 functions. New to this edition 35% revised contentCovers many new and improved R functionsNew techniques that deal with a wide range of situations | |
| 533 | |a Online-Ausg. | ||
| 650 | 0 | 7 | |a Robuste Schätzung |0 (DE-588)4178265-3 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Statistische Entscheidungstheorie |0 (DE-588)4077850-2 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Statistischer Test |0 (DE-588)4077852-6 |2 gnd |9 rswk-swf |
| 653 | 0 | |a Statistical hypothesis testing | |
| 653 | 0 | |a Estimation theory | |
| 653 | 0 | |a Robust statistics | |
| 653 | 0 | |a Statistical hypothesis testing | |
| 653 | 0 | |a Estimation theory | |
| 653 | 0 | |a Robust statistics | |
| 653 | 0 | |a Estimation theory | |
| 653 | 0 | |a Robust statistics | |
| 653 | 0 | |a Statistical hypothesis testing | |
| 689 | 0 | 0 | |a Statistischer Test |0 (DE-588)4077852-6 |D s |
| 689 | 0 | |5 DE-604 | |
| 689 | 1 | 0 | |a Robuste Schätzung |0 (DE-588)4178265-3 |D s |
| 689 | 1 | |5 DE-604 | |
| 689 | 2 | 0 | |a Statistische Entscheidungstheorie |0 (DE-588)4077850-2 |D s |
| 689 | 2 | |5 DE-604 | |
| 856 | 4 | 0 | |u https://www.sciencedirect.com/book/9780128047330 |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
| 856 | 4 | 0 | |m X:ELSEVIER |u http://www.sciencedirect.com/science/book/9780128047330 |x Verlag |3 Volltext |
| 912 | |a ZDB-33-EBS |a ZDB-33-ESD |a ZDB-33-ETPS | ||
| 999 | |a oai:aleph.bib-bvb.de:BVB01-034166641 | ||
| 966 | e | |u https://www.sciencedirect.com/book/9780128047330 |l FAW01 |p ZDB-33-ESD |q FAW_Textbooks_EBETPS |x Verlag |3 Volltext | |
Datensatz im Suchindex
| _version_ | 1804185066951147521 |
|---|---|
| adam_txt | |
| any_adam_object | |
| any_adam_object_boolean | |
| author | Wilcox, Rand R. |
| author_GND | (DE-588)141426241 |
| author_facet | Wilcox, Rand R. |
| author_role | aut |
| author_sort | Wilcox, Rand R. |
| author_variant | r r w rr rrw |
| building | Verbundindex |
| bvnumber | BV048902261 |
| classification_rvk | SK 830 QH 233 CM 4000 |
| collection | ZDB-33-EBS ZDB-33-ESD ZDB-33-ETPS |
| ctrlnum | (OCoLC)1376407629 (DE-599)GBV881720216 |
| dewey-full | 519.544 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.544 |
| dewey-search | 519.544 |
| dewey-sort | 3519.544 |
| dewey-tens | 510 - Mathematics |
| discipline | Psychologie Mathematik Wirtschaftswissenschaften |
| discipline_str_mv | Psychologie Mathematik Wirtschaftswissenschaften |
| edition | Fourth edition |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>04522nmm a2200733 c 4500</leader><controlfield tag="001">BV048902261</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">230417s2017 ne |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">012804733X</subfield><subfield code="c">: electronic bk.</subfield><subfield code="9">0-12-804733-X</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">012804781X</subfield><subfield code="c">: electronic bk.</subfield><subfield code="9">0-12-804781-X</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780128047330</subfield><subfield code="c">: electronic bk.</subfield><subfield code="9">978-0-12-804733-0</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780128047811</subfield><subfield code="c">: electronic bk.</subfield><subfield code="9">978-0-12-804781-1</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1376407629</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)GBV881720216</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="044" ind1=" " ind2=" "><subfield code="a">ne</subfield><subfield code="c">XA-NL</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-1046</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">519.544</subfield><subfield code="2">23</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">SK 830</subfield><subfield code="0">(DE-625)143259:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">QH 233</subfield><subfield code="0">(DE-625)141548:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">CM 4000</subfield><subfield code="0">(DE-625)18951:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">31.73</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Wilcox, Rand R.</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)141426241</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Introduction to robust estimation and hypothesis testing</subfield><subfield code="c">Rand R. Wilcox</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">Fourth edition</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Amsterdam</subfield><subfield code="b">Academic Press</subfield><subfield code="c">2017</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (XXIII, 786 Seiten)</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">Statistical Modeling and Decision Science</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Statistical modeling and decision science</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">1. Introduction 2. A Foundation for Robust Methods 3. Estimating Measures of Location and Scale 4. Confidence Intervals in the One-Sample Case 5. Comparing Two Groups 6. Some Multivariate Methods 7. One-Way and Higher Designs for Independent Groups 8. Comparing Multiple Dependent Groups 9. Correlation and Tests Of Independence 10. Robust Regression 11. More Regression Methods 12. ANCOVA</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Literaturverzeichnis Seite 741 - 777</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Owing to Legal Deposit regulations this resource may only be accessed from within National Library of Scotland. For more information contact enquiries@nls.uk StEdNL</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Previous edition: 2012</subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="a">Introduction to Robust Estimating and Hypothesis Testing, 4th Editon,ïŽis a 'how-to' on the application of robust methods using available software. Modern robust methods provide improved techniques for dealing with outliers, skewed distribution curvature and heteroscedasticity that can provide substantial gains in power as well as a deeper, more accurate and more nuanced understanding of data. Since the last edition, there have been numerous advances and improvements. They include new techniques for comparing groups and measuring effect size as well as new methods for comparing quantiles. Many new regression methods have been added that include both parametric and nonparametric techniques. The methods related to ANCOVA have been expanded considerably. New perspectives related to discrete distributions with a relatively small sample space are described as well as new results relevant to the shift function. The practical importance of these methods is illustrated using data from real world studies. The R package written for this book now contains over 1200 functions. New to this edition 35% revised contentCovers many new and improved R functionsNew techniques that deal with a wide range of situations</subfield></datafield><datafield tag="533" ind1=" " ind2=" "><subfield code="a">Online-Ausg.</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Robuste Schätzung</subfield><subfield code="0">(DE-588)4178265-3</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Statistische Entscheidungstheorie</subfield><subfield code="0">(DE-588)4077850-2</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Statistischer Test</subfield><subfield code="0">(DE-588)4077852-6</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Statistical hypothesis testing</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Estimation theory</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Robust statistics</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Statistical hypothesis testing</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Estimation theory</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Robust statistics</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Estimation theory</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Robust statistics</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Statistical hypothesis testing</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Statistischer Test</subfield><subfield code="0">(DE-588)4077852-6</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="1" ind2="0"><subfield code="a">Robuste Schätzung</subfield><subfield code="0">(DE-588)4178265-3</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="2" ind2="0"><subfield code="a">Statistische Entscheidungstheorie</subfield><subfield code="0">(DE-588)4077850-2</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="2" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://www.sciencedirect.com/book/9780128047330</subfield><subfield code="x">Verlag</subfield><subfield code="z">URL des Erstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="m">X:ELSEVIER</subfield><subfield code="u">http://www.sciencedirect.com/science/book/9780128047330</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-33-EBS</subfield><subfield code="a">ZDB-33-ESD</subfield><subfield code="a">ZDB-33-ETPS</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-034166641</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://www.sciencedirect.com/book/9780128047330</subfield><subfield code="l">FAW01</subfield><subfield code="p">ZDB-33-ESD</subfield><subfield code="q">FAW_Textbooks_EBETPS</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV048902261 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T21:51:15Z |
| indexdate | 2024-07-10T09:49:20Z |
| institution | BVB |
| isbn | 012804733X 012804781X 9780128047330 9780128047811 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034166641 |
| oclc_num | 1376407629 |
| open_access_boolean | |
| owner | DE-1046 |
| owner_facet | DE-1046 |
| physical | 1 Online-Ressource (XXIII, 786 Seiten) Illustrationen |
| psigel | ZDB-33-EBS ZDB-33-ESD ZDB-33-ETPS ZDB-33-ESD FAW_Textbooks_EBETPS |
| publishDate | 2017 |
| publishDateSearch | 2017 |
| publishDateSort | 2017 |
| publisher | Academic Press |
| record_format | marc |
| series2 | Statistical Modeling and Decision Science Statistical modeling and decision science |
| spelling | Wilcox, Rand R. Verfasser (DE-588)141426241 aut Introduction to robust estimation and hypothesis testing Rand R. Wilcox Fourth edition Amsterdam Academic Press 2017 1 Online-Ressource (XXIII, 786 Seiten) Illustrationen txt rdacontent c rdamedia cr rdacarrier Statistical Modeling and Decision Science Statistical modeling and decision science 1. Introduction 2. A Foundation for Robust Methods 3. Estimating Measures of Location and Scale 4. Confidence Intervals in the One-Sample Case 5. Comparing Two Groups 6. Some Multivariate Methods 7. One-Way and Higher Designs for Independent Groups 8. Comparing Multiple Dependent Groups 9. Correlation and Tests Of Independence 10. Robust Regression 11. More Regression Methods 12. ANCOVA Literaturverzeichnis Seite 741 - 777 Owing to Legal Deposit regulations this resource may only be accessed from within National Library of Scotland. For more information contact enquiries@nls.uk StEdNL Previous edition: 2012 Introduction to Robust Estimating and Hypothesis Testing, 4th Editon,ïŽis a 'how-to' on the application of robust methods using available software. Modern robust methods provide improved techniques for dealing with outliers, skewed distribution curvature and heteroscedasticity that can provide substantial gains in power as well as a deeper, more accurate and more nuanced understanding of data. Since the last edition, there have been numerous advances and improvements. They include new techniques for comparing groups and measuring effect size as well as new methods for comparing quantiles. Many new regression methods have been added that include both parametric and nonparametric techniques. The methods related to ANCOVA have been expanded considerably. New perspectives related to discrete distributions with a relatively small sample space are described as well as new results relevant to the shift function. The practical importance of these methods is illustrated using data from real world studies. The R package written for this book now contains over 1200 functions. New to this edition 35% revised contentCovers many new and improved R functionsNew techniques that deal with a wide range of situations Online-Ausg. Robuste Schätzung (DE-588)4178265-3 gnd rswk-swf Statistische Entscheidungstheorie (DE-588)4077850-2 gnd rswk-swf Statistischer Test (DE-588)4077852-6 gnd rswk-swf Statistical hypothesis testing Estimation theory Robust statistics Statistischer Test (DE-588)4077852-6 s DE-604 Robuste Schätzung (DE-588)4178265-3 s Statistische Entscheidungstheorie (DE-588)4077850-2 s https://www.sciencedirect.com/book/9780128047330 Verlag URL des Erstveröffentlichers Volltext X:ELSEVIER http://www.sciencedirect.com/science/book/9780128047330 Verlag Volltext |
| spellingShingle | Wilcox, Rand R. Introduction to robust estimation and hypothesis testing Robuste Schätzung (DE-588)4178265-3 gnd Statistische Entscheidungstheorie (DE-588)4077850-2 gnd Statistischer Test (DE-588)4077852-6 gnd |
| subject_GND | (DE-588)4178265-3 (DE-588)4077850-2 (DE-588)4077852-6 |
| title | Introduction to robust estimation and hypothesis testing |
| title_auth | Introduction to robust estimation and hypothesis testing |
| title_exact_search | Introduction to robust estimation and hypothesis testing |
| title_exact_search_txtP | Introduction to robust estimation and hypothesis testing |
| title_full | Introduction to robust estimation and hypothesis testing Rand R. Wilcox |
| title_fullStr | Introduction to robust estimation and hypothesis testing Rand R. Wilcox |
| title_full_unstemmed | Introduction to robust estimation and hypothesis testing Rand R. Wilcox |
| title_short | Introduction to robust estimation and hypothesis testing |
| title_sort | introduction to robust estimation and hypothesis testing |
| topic | Robuste Schätzung (DE-588)4178265-3 gnd Statistische Entscheidungstheorie (DE-588)4077850-2 gnd Statistischer Test (DE-588)4077852-6 gnd |
| topic_facet | Robuste Schätzung Statistische Entscheidungstheorie Statistischer Test |
| url | https://www.sciencedirect.com/book/9780128047330 http://www.sciencedirect.com/science/book/9780128047330 |
| work_keys_str_mv | AT wilcoxrandr introductiontorobustestimationandhypothesistesting |