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221028 ||| eng |
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|a 0585492298
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|a 9780585492292
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|a 9780126423501
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4 |
|a QA278.75
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| 100 |
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|a Hájek, Jaroslav
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| 245 |
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|a Theory of rank tests
|c Jaroslav Hájek, Zbyněk Šidák, Pranab K. Sen
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| 250 |
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|a 2nd ed
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| 260 |
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|a San Diego, Calif.
|b Academic Press
|c 1999, 1999
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| 300 |
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|a xiv, 435 pages
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| 505 |
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|a 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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|a Includes bibliographical references (pages 407-424) and indexes
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| 653 |
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|a Tests d'hypothèses (Statistique)
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| 653 |
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|a Hypothesetoetsing / gtt
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| 653 |
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|a Ranking and selection (Statistics) / fast / (OCoLC)fst01089915
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| 653 |
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|a Statistical hypothesis testing / http://id.loc.gov/authorities/subjects/sh85127567
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| 653 |
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|a Statistical hypothesis testing / fast / (OCoLC)fst01132063
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| 653 |
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|a Rang et sélection (Statistique)
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| 653 |
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|a MATHEMATICS / Applied / bisacsh
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| 653 |
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|a Ranking and selection (Statistics) / http://id.loc.gov/authorities/subjects/sh85111380
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| 653 |
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|a Asymptotische analyse / gtt
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| 653 |
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|a MATHEMATICS / Probability & Statistics / General / bisacsh
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| 700 |
1 |
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|a Šidák, Zbyněk
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| 700 |
1 |
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|a Sen, Pranab Kumar
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b ZDB-1-ELC
|a Elsevier eBook collection Mathematics
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| 490 |
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|a Probability and mathematical statistics
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| 776 |
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|z 0585492298
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| 776 |
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|z 9780585492292
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| 856 |
4 |
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|u https://www.sciencedirect.com/science/book/9780126423501
|x Verlag
|3 Volltext
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|a 519
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|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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