Isbn: 9781332916191 - on a class of testing procedures in linear models (classic reprint) (3 resultados)

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  • Idioma: Inglés

    Editorial: Forgotten Books, 2018

    1332916198 / 9781332916191

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    Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US

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    Condición: Nuevo

    EUR 24,86

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    Cantidad disponible: 15 disponibles

    PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

  • Idioma: Inglés

    Editorial: Forgotten Books, 2018

    1332916198 / 9781332916191

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    Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK

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    Condición: Nuevo

    EUR 24,25

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    Cantidad disponible: 15 disponibles

    PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

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    Idioma: Inglés

    Editorial: Forgotten Books, 2024

    1332916198 / 9781332916191

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    Librería: Forgotten Books, London, Reino UnidoForgotten Books

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    Condición: Nuevo

    EUR 15,49

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    Cantidad disponible: Más de 20 disponibles

    Paperback. Condición: New. Print on Demand. This book presents a comprehensive analysis of a class of testing procedures for linear models in statistics. The author, a respected researcher in the field, examines the asymptotic properties of these procedures and their relative efficiency compared to existing methods. The book begins by introducing the fundamental concepts and assumptions of linear models, laying the groundwork for the subsequent analysis. The author then delves into the proposed class of test statistics, explaining their construction and rationale. Through rigorous mathematical derivations, the author establishes the asymptotic distribution of the test statistics and derives their asymptotic relative efficiency with respect to other commonly used procedures. These results provide valuable insights into the performance of the proposed tests under different conditions and sample sizes. The book also explores the implications of these findings for practical applications. The author discusses the advantages and limitations of the proposed tests in various scenarios, offering guidance for researchers and practitioners seeking optimal statistical approaches. This book is an essential resource for statisticians, researchers, and students interested in linear models and nonparametric testing procedures. Its rigorous analysis and practical insights contribute to the advancement of statistical methods and enhance the understanding of hypothesis testing in complex data sets. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item.