Theory of rank tests /:
The first edition of Theory of Rank Tests (1967) has been the precursor to a unified and theoretically motivated treatise of the basic theory of tests based on ranks of the sample observations. For more than 25 years, it helped raise a generation of statisticians in cultivating their theoretical res...
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| 1. Verfasser: | |
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| Weitere Verfasser: | , |
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
San Diego, Calif. :
Academic Press,
1999.
|
| Ausgabe: | 2nd ed. |
| Schriftenreihe: | Probability and mathematical statistics.
|
| Schlagworte: | |
| Online-Zugang: | Volltext Volltext |
| Zusammenfassung: | The first edition of Theory of Rank Tests (1967) has been the precursor to a unified and theoretically motivated treatise of the basic theory of tests based on ranks of the sample observations. For more than 25 years, it helped raise a generation of statisticians in cultivating their theoretical research in this fertile area, as well as in using these tools in their application oriented research. The present edition not only aims to revive this classical text by updating the findings but also by incorporating several other important areas which were either not properly developed before 1965 or have gone through an evolutionary development during the past 30 years. This edition therefore aims to fulfill the needs of academic as well as professional statisticians who want to pursue nonparametrics in their academic projects, consultation, and applied research works. Key Features * Asymptotic Methods * Nonparametrics * Convergence of Probability Measures * Statistical Inference. |
| Beschreibung: | 1 online resource (xiv, 435 pages) |
| Bibliographie: | Includes bibliographical references (pages 407-424) and indexes. |
| ISBN: | 0585492298 9780585492292 9780126423501 0126423504 |
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| 520 | |a The first edition of Theory of Rank Tests (1967) has been the precursor to a unified and theoretically motivated treatise of the basic theory of tests based on ranks of the sample observations. For more than 25 years, it helped raise a generation of statisticians in cultivating their theoretical research in this fertile area, as well as in using these tools in their application oriented research. The present edition not only aims to revive this classical text by updating the findings but also by incorporating several other important areas which were either not properly developed before 1965 or have gone through an evolutionary development during the past 30 years. This edition therefore aims to fulfill the needs of academic as well as professional statisticians who want to pursue nonparametrics in their academic projects, consultation, and applied research works. Key Features * Asymptotic Methods * Nonparametrics * Convergence of Probability Measures * Statistical Inference. | ||
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| author | Hájek, Jaroslav, 1926-1974 |
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| contents | Introduction and Coverage. Preliminaries. Elementary Theory of Rank Tests. Selected Rank Tests. Computation of Null Exact Distributions. Limiting Null Distributions. Limiting Non-Null Distributions. Asymptotic Optimality and Efficiency. Rank Estimates and Asymptotic Linearity. |
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| discipline | Mathematik |
| edition | 2nd ed. |
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| indexdate | 2024-11-27T13:15:31Z |
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| spelling | Hájek, Jaroslav, 1926-1974. https://id.oclc.org/worldcat/entity/E39PBJxCvFJ748kBTHRq6XfyVC Theory of rank tests / Jaroslav Hájek, Zbyněk Šidák, Pranab K. Sen. 2nd ed. San Diego, Calif. : Academic Press, 1999. 1 online resource (xiv, 435 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier Probability and mathematical statistics Includes bibliographical references (pages 407-424) and indexes. Print version record. Introduction and Coverage. Preliminaries. Elementary Theory of Rank Tests. Selected Rank Tests. Computation of Null Exact Distributions. Limiting Null Distributions. Limiting Non-Null Distributions. Asymptotic Optimality and Efficiency. Rank Estimates and Asymptotic Linearity. The first edition of Theory of Rank Tests (1967) has been the precursor to a unified and theoretically motivated treatise of the basic theory of tests based on ranks of the sample observations. For more than 25 years, it helped raise a generation of statisticians in cultivating their theoretical research in this fertile area, as well as in using these tools in their application oriented research. The present edition not only aims to revive this classical text by updating the findings but also by incorporating several other important areas which were either not properly developed before 1965 or have gone through an evolutionary development during the past 30 years. This edition therefore aims to fulfill the needs of academic as well as professional statisticians who want to pursue nonparametrics in their academic projects, consultation, and applied research works. Key Features * Asymptotic Methods * Nonparametrics * Convergence of Probability Measures * Statistical Inference. Ranking and selection (Statistics) http://id.loc.gov/authorities/subjects/sh85111380 Statistical hypothesis testing. http://id.loc.gov/authorities/subjects/sh85127567 Rang et sélection (Statistique) Tests d'hypothèses (Statistique) MATHEMATICS Applied. bisacsh MATHEMATICS Probability & Statistics General. bisacsh Ranking and selection (Statistics) fast Statistical hypothesis testing fast Hypothesetoetsing. gtt Asymptotische analyse. gtt Šidák, Zbyněk. http://id.loc.gov/authorities/names/n83826653 Sen, Pranab Kumar, 1937- https://id.oclc.org/worldcat/entity/E39PBJyGVpmQYF9H89b9wkf8YP http://id.loc.gov/authorities/names/n81024637 Print version: Hájek, Jaroslav. Theory of rank tests. 2nd ed. San Diego, Calif. : Academic Press, 1999 0126423504 (OCoLC)41092373 Probability and mathematical statistics. http://id.loc.gov/authorities/names/n42019721 FWS01 ZDB-4-EBA FWS_PDA_EBA https://www.sciencedirect.com/science/book/9780126423501 Volltext FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=91250 Volltext |
| spellingShingle | Hájek, Jaroslav, 1926-1974 Theory of rank tests / Probability and mathematical statistics. Introduction and Coverage. Preliminaries. Elementary Theory of Rank Tests. Selected Rank Tests. Computation of Null Exact Distributions. Limiting Null Distributions. Limiting Non-Null Distributions. Asymptotic Optimality and Efficiency. Rank Estimates and Asymptotic Linearity. Ranking and selection (Statistics) http://id.loc.gov/authorities/subjects/sh85111380 Statistical hypothesis testing. http://id.loc.gov/authorities/subjects/sh85127567 Rang et sélection (Statistique) Tests d'hypothèses (Statistique) MATHEMATICS Applied. bisacsh MATHEMATICS Probability & Statistics General. bisacsh Ranking and selection (Statistics) fast Statistical hypothesis testing fast Hypothesetoetsing. gtt Asymptotische analyse. gtt |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85111380 http://id.loc.gov/authorities/subjects/sh85127567 |
| title | Theory of rank tests / |
| title_auth | Theory of rank tests / |
| title_exact_search | Theory of rank tests / |
| title_full | Theory of rank tests / Jaroslav Hájek, Zbyněk Šidák, Pranab K. Sen. |
| title_fullStr | Theory of rank tests / Jaroslav Hájek, Zbyněk Šidák, Pranab K. Sen. |
| title_full_unstemmed | Theory of rank tests / Jaroslav Hájek, Zbyněk Šidák, Pranab K. Sen. |
| title_short | Theory of rank tests / |
| title_sort | theory of rank tests |
| topic | Ranking and selection (Statistics) http://id.loc.gov/authorities/subjects/sh85111380 Statistical hypothesis testing. http://id.loc.gov/authorities/subjects/sh85127567 Rang et sélection (Statistique) Tests d'hypothèses (Statistique) MATHEMATICS Applied. bisacsh MATHEMATICS Probability & Statistics General. bisacsh Ranking and selection (Statistics) fast Statistical hypothesis testing fast Hypothesetoetsing. gtt Asymptotische analyse. gtt |
| topic_facet | Ranking and selection (Statistics) Statistical hypothesis testing. Rang et sélection (Statistique) Tests d'hypothèses (Statistique) MATHEMATICS Applied. MATHEMATICS Probability & Statistics General. Statistical hypothesis testing Hypothesetoetsing. Asymptotische analyse. |
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