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Añadir al carritoHardcover. Condición: new. Hardcover. There are many ways of conducting an analysis, but most studies show only a few carefully curated estimates. Applied research involves a complex array of analytical decisions, often leading to a 'garden of forking paths' where each choice can lead to different results. By systematically exploring how alternative analytical choices affect the findings, Multiverse Analysis reveals the full range of estimates that the data can support and uncovers insights that single-path analyses often miss. It shows which modelling decisions are most critical to the results and reveals how data and assumptions work together to produce empirical estimates. Focusing on intuitive understanding rather than complex mathematics, and drawing on real-world datasets, this book provides a step-by-step guide to comprehensive multiverse analysis. Go beyond traditional, single-path methods and discover how multiverse analysis can lead to more transparent, illuminating, and persuasive empirical contributions to science. In the crisis of science, there is growing scepticism about the reliability and objectivity of research. This book develops computational multiverse methods to make evidence more transparent, and shows how to evaluate the credibility and robustness of research. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Idioma: Inglés
Publicado por Cambridge University Press, 2025
ISBN 10: 1316518787 ISBN 13: 9781316518786
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Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - There are many ways of conducting an analysis, but most studies show only a few carefully curated estimates. Applied research involves a complex array of analytical decisions, often leading to a 'garden of forking paths' where each choice can lead to different results. By systematically exploring how alternative analytical choices affect the findings, Multiverse Analysis reveals the full range of estimates that the data can support and uncovers insights that single-path analyses often miss. It shows which modelling decisions are most critical to the results and reveals how data and assumptions work together to produce empirical estimates. Focusing on intuitive understanding rather than complex mathematics, and drawing on real-world datasets, this book provides a step-by-step guide to comprehensive multiverse analysis. Go beyond traditional, single-path methods and discover how multiverse analysis can lead to more transparent, illuminating, and persuasive empirical contributions to science.
Idioma: Inglés
Publicado por Cambridge University Press, Cambridge, 2025
ISBN 10: 1316518787 ISBN 13: 9781316518786
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Añadir al carritoHardcover. Condición: new. Hardcover. There are many ways of conducting an analysis, but most studies show only a few carefully curated estimates. Applied research involves a complex array of analytical decisions, often leading to a 'garden of forking paths' where each choice can lead to different results. By systematically exploring how alternative analytical choices affect the findings, Multiverse Analysis reveals the full range of estimates that the data can support and uncovers insights that single-path analyses often miss. It shows which modelling decisions are most critical to the results and reveals how data and assumptions work together to produce empirical estimates. Focusing on intuitive understanding rather than complex mathematics, and drawing on real-world datasets, this book provides a step-by-step guide to comprehensive multiverse analysis. Go beyond traditional, single-path methods and discover how multiverse analysis can lead to more transparent, illuminating, and persuasive empirical contributions to science. In the crisis of science, there is growing scepticism about the reliability and objectivity of research. This book develops computational multiverse methods to make evidence more transparent, and shows how to evaluate the credibility and robustness of research. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Idioma: Inglés
Publicado por Cambridge University Press, 2025
ISBN 10: 1316518787 ISBN 13: 9781316518786
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Añadir al carritoHardcover. Condición: Brand New. 200 pages. 6.00x0.69x9.00 inches. In Stock. This item is printed on demand.
Idioma: Inglés
Publicado por Cambridge University Press, Cambridge, 2025
ISBN 10: 1316518787 ISBN 13: 9781316518786
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Añadir al carritoHardcover. Condición: new. Hardcover. There are many ways of conducting an analysis, but most studies show only a few carefully curated estimates. Applied research involves a complex array of analytical decisions, often leading to a 'garden of forking paths' where each choice can lead to different results. By systematically exploring how alternative analytical choices affect the findings, Multiverse Analysis reveals the full range of estimates that the data can support and uncovers insights that single-path analyses often miss. It shows which modelling decisions are most critical to the results and reveals how data and assumptions work together to produce empirical estimates. Focusing on intuitive understanding rather than complex mathematics, and drawing on real-world datasets, this book provides a step-by-step guide to comprehensive multiverse analysis. Go beyond traditional, single-path methods and discover how multiverse analysis can lead to more transparent, illuminating, and persuasive empirical contributions to science. In the crisis of science, there is growing scepticism about the reliability and objectivity of research. This book develops computational multiverse methods to make evidence more transparent, and shows how to evaluate the credibility and robustness of research. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Idioma: Inglés
Publicado por Cambridge University Press, 2025
ISBN 10: 1316518787 ISBN 13: 9781316518786
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Idioma: Inglés
Publicado por Cambridge University Press, 2025
ISBN 10: 1316518787 ISBN 13: 9781316518786
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Idioma: Inglés
Publicado por Cambridge University Press, 2025
ISBN 10: 1316518787 ISBN 13: 9781316518786
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Añadir al carritoBuch. Condición: Neu. Multiverse Analysis | Cristobal Young (u. a.) | Buch | Englisch | 2025 | Cambridge University Press | EAN 9781316518786 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.