ISBN: 9781333402822 - on the use of equivalent numbers in the method of least squares (classic reprint) (3 risultati)

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  • Lingua: Inglese

    Editore: Forgotten Books, 2018

    1333402821 / 9781333402822

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    Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US

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    Condizione: Nuovo

    EUR 25,49

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    Spedito in U.S.A.

    Quantità: 15 disponibili

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

  • Lingua: Inglese

    Editore: Forgotten Books, 2018

    1333402821 / 9781333402822

    • Brossura

    Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK

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    Condizione: Nuovo

    EUR 25,02

    EUR 3,93 spedizione 
    Spedito da Regno Unito a U.S.A.

    Quantità: 15 disponibili

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

  • Altre immagini

    Lingua: Inglese

    Editore: Forgotten Books, 2024

    1333402821 / 9781333402822

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    • Print on Demand

    Da: Forgotten Books, London, Regno UnitoForgotten Books

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    Condizione: Nuovo

    EUR 16,03

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    Quantità: Più di 20 disponibili

    Paperback. Condizione: New. Print on Demand. This book is an innovative study that challenges the conventional wisdom that has dominated the application of the method of least squares for fitting an empirical function to a series of observed facts. In mathematics, the method of least squares is a standard technique for solving problems where there are more unknowns than equations, and while it is recognized that the pursuit of accuracy can be carried to unreasonable lengths, the current practice is to adhere strictly to the rigorous precepts of least squares to an extent that is theoretically incorrect and unnecessarily laborious. The author demonstrates that a more nuanced approach that allows for scalar modifications to the computational factors used in the method, can achieve nearly equivalent results with exceptional numerical facilitation. While the core of the book is mathematical in nature, the author offers a clear account of the principles governing the application of the method of least squares in practice, and makes the case that scientists should not be bound by an overly strict interpretation of its tenets when seeking to extract meaningful insights from observations. This pragmatic analysis will appeal to researchers, scientists, and students employing statistical models. 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.…