Nonparametric statistical inference:
"Nonparametric Statistical Inference, Sixth Edition has been thoroughly revised and rewritten to make it more readable and reader-friendly. All of the R solutions are new and make this book much more useful for applications in the modern times. It has been updated throughout and contains 100 ne...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Boca Raton ; London ; New York
CRC Press
2021
|
| Ausgabe: | Sixth edition |
| Schlagworte: | |
| Zusammenfassung: | "Nonparametric Statistical Inference, Sixth Edition has been thoroughly revised and rewritten to make it more readable and reader-friendly. All of the R solutions are new and make this book much more useful for applications in the modern times. It has been updated throughout and contains 100 new citations, including some of the most recent, to make it more current and useful for researchers. · Covers the most commonly used nonparametric procedures. · States the assumptions, develops the theory behind the procedures, and illustrates the techniques using realistic examples from the social, behavioral, and life sciences. · Presents tests of hypotheses, confidence interval estimation, sample size determination, power, and comparisons of competing procedures. · Includes an Appendix of user-friendly tables needed for solutions to all data- oriented examples. · Gives examples of computer applications based on R, MINITAB, STATXACT, and SAS. Lists over 100 new references"-- |
| Beschreibung: | Literaturverzeichnis: Seite 647-664 |
| Beschreibung: | xix, 674 Seiten Illustrationen, Diagramme |
| ISBN: | 9781138087446 |
Internformat
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| 520 | 3 | |a "Nonparametric Statistical Inference, Sixth Edition has been thoroughly revised and rewritten to make it more readable and reader-friendly. All of the R solutions are new and make this book much more useful for applications in the modern times. It has been updated throughout and contains 100 new citations, including some of the most recent, to make it more current and useful for researchers. · Covers the most commonly used nonparametric procedures. · States the assumptions, develops the theory behind the procedures, and illustrates the techniques using realistic examples from the social, behavioral, and life sciences. · Presents tests of hypotheses, confidence interval estimation, sample size determination, power, and comparisons of competing procedures. · Includes an Appendix of user-friendly tables needed for solutions to all data- oriented examples. · Gives examples of computer applications based on R, MINITAB, STATXACT, and SAS. Lists over 100 new references"-- | |
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Datensatz im Suchindex
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| discipline | Mathematik |
| discipline_str_mv | Mathematik |
| edition | Sixth edition |
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| id | DE-604.BV047471226 |
| illustrated | Illustrated |
| index_date | 2024-07-03T18:09:18Z |
| indexdate | 2024-07-10T09:13:02Z |
| institution | BVB |
| isbn | 9781138087446 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032872885 |
| oclc_num | 1236212256 |
| open_access_boolean | |
| owner | DE-91G DE-BY-TUM |
| owner_facet | DE-91G DE-BY-TUM |
| physical | xix, 674 Seiten Illustrationen, Diagramme |
| publishDate | 2021 |
| publishDateSearch | 2021 |
| publishDateSort | 2021 |
| publisher | CRC Press |
| record_format | marc |
| spelling | Gibbons, Jean Dickinson 1938- Verfasser (DE-588)132991373 aut Nonparametric statistical inference Jean Dickinson Gibbons (University of Alabama (Emerita), Tuscaloosa, U.S.A.), Subhabrata Chakraborti (University of Alabama, Tuscaloosa, U.S.A.) Sixth edition Boca Raton ; London ; New York CRC Press 2021 xix, 674 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Literaturverzeichnis: Seite 647-664 "Nonparametric Statistical Inference, Sixth Edition has been thoroughly revised and rewritten to make it more readable and reader-friendly. All of the R solutions are new and make this book much more useful for applications in the modern times. It has been updated throughout and contains 100 new citations, including some of the most recent, to make it more current and useful for researchers. · Covers the most commonly used nonparametric procedures. · States the assumptions, develops the theory behind the procedures, and illustrates the techniques using realistic examples from the social, behavioral, and life sciences. · Presents tests of hypotheses, confidence interval estimation, sample size determination, power, and comparisons of competing procedures. · Includes an Appendix of user-friendly tables needed for solutions to all data- oriented examples. · Gives examples of computer applications based on R, MINITAB, STATXACT, and SAS. Lists over 100 new references"-- Inferenzstatistik (DE-588)4247120-5 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf Nichtparametrische Statistik (DE-588)4226777-8 gnd rswk-swf Nonparametric statistics Inferenzstatistik (DE-588)4247120-5 s DE-604 Nichtparametrische Statistik (DE-588)4226777-8 s Statistik (DE-588)4056995-0 s Chakraborti, Subhabrata 1957- Verfasser (DE-588)120879131 aut Erscheint auch als Online-Ausgabe 978-1-315-11047-9 |
| spellingShingle | Gibbons, Jean Dickinson 1938- Chakraborti, Subhabrata 1957- Nonparametric statistical inference Inferenzstatistik (DE-588)4247120-5 gnd Statistik (DE-588)4056995-0 gnd Nichtparametrische Statistik (DE-588)4226777-8 gnd |
| subject_GND | (DE-588)4247120-5 (DE-588)4056995-0 (DE-588)4226777-8 |
| title | Nonparametric statistical inference |
| title_auth | Nonparametric statistical inference |
| title_exact_search | Nonparametric statistical inference |
| title_exact_search_txtP | Nonparametric statistical inference |
| title_full | Nonparametric statistical inference Jean Dickinson Gibbons (University of Alabama (Emerita), Tuscaloosa, U.S.A.), Subhabrata Chakraborti (University of Alabama, Tuscaloosa, U.S.A.) |
| title_fullStr | Nonparametric statistical inference Jean Dickinson Gibbons (University of Alabama (Emerita), Tuscaloosa, U.S.A.), Subhabrata Chakraborti (University of Alabama, Tuscaloosa, U.S.A.) |
| title_full_unstemmed | Nonparametric statistical inference Jean Dickinson Gibbons (University of Alabama (Emerita), Tuscaloosa, U.S.A.), Subhabrata Chakraborti (University of Alabama, Tuscaloosa, U.S.A.) |
| title_short | Nonparametric statistical inference |
| title_sort | nonparametric statistical inference |
| topic | Inferenzstatistik (DE-588)4247120-5 gnd Statistik (DE-588)4056995-0 gnd Nichtparametrische Statistik (DE-588)4226777-8 gnd |
| topic_facet | Inferenzstatistik Statistik Nichtparametrische Statistik |
| work_keys_str_mv | AT gibbonsjeandickinson nonparametricstatisticalinference AT chakrabortisubhabrata nonparametricstatisticalinference |