ISBN: 9781334538094 - multiple comparison procedures based on gaps (classic reprint) (3 risultati)

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Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 26,20
Spedizione gratuitaSpedito in U.S.A.Quantità: 15 disponibili
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

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Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 25,44
EUR 3,94 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 15 disponibili
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

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- Print on Demand
Da: Forgotten Books, London, Regno UnitoForgotten Books
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 16,41
Spedizione gratuitaSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Paperback. Condizione: New. Print on Demand. This book introduces four sequential statistical tests for identifying differences between means in experimental setups. These proposed tests first examine gaps between adjacent sample means, followed by threes, fours, and so on, up to the range. Two tests then reverse this procedure. All four are designed to control the experimentwise type I error rates. The author compares the proposed tests with existing procedures, demonstrating their effectiveness in controlling the type I error rate and providing improved power for a given error level. The book provides a theoretical foundation for the tests and includes tables for practical applications. Through its rigorous analysis and practical guidance, this book offers a valuable resource for researchers and practitioners seeking to make informed decisions based on experimental data. 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.…