Isbn: 9781138589384 - statistics in corpus linguistics research: a new approach (5 resultados)

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    • Idioma: Inglés

      Editorial: Routledge, 2020

      1138589381 / 9781138589384

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      Librería: medimops, Berlin, Alemaniamedimops

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      Condición: Usado - Bueno

      EUR 46,18

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      Cantidad disponible: 1 disponibles

      Condición: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.

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      Idioma: Inglés

      Editorial: Taylor & Francis, 2020

      1138589381 / 9781138589384

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      Librería: preigu, Osnabrück, Alemaniapreigu

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      EUR 51,05

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      Cantidad disponible: 5 disponibles

      Taschenbuch. Condición: Neu. Statistics in Corpus Linguistics Research | A New Approach | Sean Wallis | Taschenbuch | Englisch | 2020 | Taylor & Francis | EAN 9781138589384 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.

    • Idioma: Inglés

      Editorial: Taylor & Francis Group, 2020

      1138589381 / 9781138589384

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      Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books

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      Condición: Nuevo

      EUR 57,09

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      Cantidad disponible: 4 disponibles

      Condición: New. Print on Demand pp. 384.

    • Idioma: Inglés

      Editorial: Routledge Nov 2020, 2020

      1138589381 / 9781138589384

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      Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.

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      EUR 50,20

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      Cantidad disponible: 2 disponibles

      Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Traditional approaches focused on significance tests have often been difficult for linguistics researchers to visualise. Statistics in Corpus Linguistics Research: A New Approach breaks these significance tests down for researchers in corpus linguistics and linguistic analysis, promoting a visual approach to understanding the performance of tests with real data, and demonstrating how to derive new intervals and tests.Accessibly written, this book discusses the 'why' behind the statistical model, allowing readers a greater facility for choosing their own methodologies. Accessibly written for those with little to no mathematical or statistical background, it explains the mathematical fundamentals of simple significance tests by relating them to confidence intervals. With sample datasets and easy-to-read visuals, this book focuses on practical issues, such as how to:- pose research questions in terms of choice and constraint;- employ confidence intervals correctly (including in graph plots);- select optimal significance tests (and what results mean);- measure the size of the effect of one variable on another;- estimate the similarity of distribution patterns; and- evaluate whether the results of two experiments significantly differ.Appropriate for anyone from the student just beginning their career to the seasoned researcher, this book is both a practical overview and valuable resource. 384 pp. Englisch.

    • Idioma: Inglés

      Editorial: Taylor & Francis, 2020

      1138589381 / 9781138589384

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      Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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      Condición: Nuevo

      EUR 74,27

      Envío por EUR 30,50 
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      Cantidad disponible: 1 disponibles

      Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Traditional approaches focused on significance tests have often been difficult for linguistics researchers to visualise. Statistics in Corpus Linguistics Research: A New Approach breaks these significance tests down for researchers in corpus linguistics and linguistic analysis, promoting a visual approach to understanding the performance of tests with real data, and demonstrating how to derive new intervals and tests.Accessibly written, this book discusses the 'why' behind the statistical model, allowing readers a greater facility for choosing their own methodologies. Accessibly written for those with little to no mathematical or statistical background, it explains the mathematical fundamentals of simple significance tests by relating them to confidence intervals. With sample datasets and easy-to-read visuals, this book focuses on practical issues, such as how to:- pose research questions in terms of choice and constraint;- employ confidence intervals correctly (including in graph plots);- select optimal significance tests (and what results mean);- measure the size of the effect of one variable on another;- estimate the similarity of distribution patterns; and- evaluate whether the results of two experiments significantly differ.Appropriate for anyone from the student just beginning their career to the seasoned researcher, this book is both a practical overview and valuable resource.