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From finite sample to asymptotic methods in statistics /
"Exact statistical inference may be employed in diverse fields of science and technology. As problems become more complex and sample sizes become larger, mathematical and computational difficulties can arise that require the use of approximate statistical methods. Such methods are justified by...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cambridge ; New York :
Cambridge University Press,
©2010.
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| Colección: | Cambridge series on statistical and probabilistic mathematics.
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| Temas: | |
| Acceso en línea: | Texto completo |
| Sumario: | "Exact statistical inference may be employed in diverse fields of science and technology. As problems become more complex and sample sizes become larger, mathematical and computational difficulties can arise that require the use of approximate statistical methods. Such methods are justified by asymptotic arguments but are still based on the concepts and principles that underlie exact statistical inference. With this in perspective, this book presents a broad view of exact statistical inference and the development of asymptotic statistical inference, providing a justification for the use of asymptotic methods for large samples. Methodological results are developed on a concrete and yet rigorous mathematical level and are applied to a variety of problems that include categorical data, regression, and survival analyses. This book is designed as a textbook for advanced undergraduate or beginning graduate students in statistics, biostatistics, or applied statistics but may also be used as a reference for academic researchers"--Provided by publisher |
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| Descripción Física: | 1 online resource (xii, 386 pages) : illustrations |
| Bibliografía: | Includes bibliographical references (pages 375-379) and index. |
| ISBN: | 0511639457 9780511639456 9780511641893 0511641893 9780511806957 0511806957 1107210836 9781107210837 0511638388 9780511638381 0511640536 9780511640537 |