Idioma: Inglés
Publicado por Cambridge University Press, 2019
ISBN 10: 1316631141 ISBN 13: 9781316631140
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Añadir al carritopaperback. Condición: Very Good.
Idioma: Inglés
Publicado por Cambridge University Press, 2019
ISBN 10: 1316631141 ISBN 13: 9781316631140
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Añadir al carritopaperback. Condición: New. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
Idioma: Inglés
Publicado por Cambridge University Press, 2019
ISBN 10: 1316631141 ISBN 13: 9781316631140
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Idioma: Inglés
Publicado por Cambridge University Press, 2019
ISBN 10: 1316631141 ISBN 13: 9781316631140
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Idioma: Inglés
Publicado por Cambridge University Press 4/11/2019, 2019
ISBN 10: 1316631141 ISBN 13: 9781316631140
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Añadir al carritoPaperback or Softback. Condición: New. Foundations of Agnostic Statistics. Book.
Idioma: Inglés
Publicado por Cambridge University Press, GB, 2019
ISBN 10: 1316631141 ISBN 13: 9781316631140
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Añadir al carritoPaperback. Condición: New. Reflecting a sea change in how empirical research has been conducted over the past three decades, Foundations of Agnostic Statistics presents an innovative treatment of modern statistical theory for the social and health sciences. This book develops the fundamentals of what the authors call agnostic statistics, which considers what can be learned about the world without assuming that there exists a simple generative model that can be known to be true. Aronow and Miller provide the foundations for statistical inference for researchers unwilling to make assumptions beyond what they or their audience would find credible. Building from first principles, the book covers topics including estimation theory, regression, maximum likelihood, missing data, and causal inference. Using these principles, readers will be able to formally articulate their targets of inquiry, distinguish substantive assumptions from statistical assumptions, and ultimately engage in cutting-edge quantitative empirical research that contributes to human knowledge.
Idioma: Inglés
Publicado por Cambridge University Press, 2019
ISBN 10: 1316631141 ISBN 13: 9781316631140
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Idioma: Inglés
Publicado por Cambridge University Press, Cambridge, 2019
ISBN 10: 1316631141 ISBN 13: 9781316631140
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Añadir al carritoPaperback. Condición: new. Paperback. Reflecting a sea change in how empirical research has been conducted over the past three decades, Foundations of Agnostic Statistics presents an innovative treatment of modern statistical theory for the social and health sciences. This book develops the fundamentals of what the authors call agnostic statistics, which considers what can be learned about the world without assuming that there exists a simple generative model that can be known to be true. Aronow and Miller provide the foundations for statistical inference for researchers unwilling to make assumptions beyond what they or their audience would find credible. Building from first principles, the book covers topics including estimation theory, regression, maximum likelihood, missing data, and causal inference. Using these principles, readers will be able to formally articulate their targets of inquiry, distinguish substantive assumptions from statistical assumptions, and ultimately engage in cutting-edge quantitative empirical research that contributes to human knowledge. This book provides a rigorous but accessible treatment of modern statistical methodology for researchers in the social and health sciences. It provides readers with the mathematical tools to critically engage with cutting-edge statistical methods. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Idioma: Inglés
Publicado por Cambridge University Press, 2019
ISBN 10: 1316631141 ISBN 13: 9781316631140
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 41,82
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Idioma: Inglés
Publicado por Cambridge University Press, 2019
ISBN 10: 1316631141 ISBN 13: 9781316631140
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Añadir al carritoCondición: New. 2019. Illustrated. paperback. . . . . .
Idioma: Inglés
Publicado por Cambridge University Press, 2019
ISBN 10: 1316631141 ISBN 13: 9781316631140
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Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Cambridge University Press, 2019
ISBN 10: 1316631141 ISBN 13: 9781316631140
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Idioma: Inglés
Publicado por Cambridge University Press CUP, 2019
ISBN 10: 1316631141 ISBN 13: 9781316631140
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Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Cambridge University Press, 2019
ISBN 10: 1316631141 ISBN 13: 9781316631140
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Añadir al carritoCondición: New. 2019. Illustrated. paperback. . . . . . Books ship from the US and Ireland.
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Añadir al carritoPaperback. Condición: Brand New. 298 pages. 9.00x6.00x0.40 inches. In Stock.
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Añadir al carritoCondición: New. This book provides a rigorous but accessible treatment of modern statistical methodology for researchers in the social and health sciences. It provides readers with the mathematical tools to critically engage with cutting-edge statistical methods.&U.
Idioma: Inglés
Publicado por Cambridge University Press Jan 2019, 2019
ISBN 10: 1316631141 ISBN 13: 9781316631140
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 50,93
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware - Provides an introduction to modern statistical theory for social and health scientists while invoking minimal modeling assumptions.
Idioma: Inglés
Publicado por Cambridge University Press, GB, 2019
ISBN 10: 1316631141 ISBN 13: 9781316631140
Librería: Rarewaves.com UK, London, Reino Unido
EUR 42,16
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Añadir al carritoPaperback. Condición: New. Reflecting a sea change in how empirical research has been conducted over the past three decades, Foundations of Agnostic Statistics presents an innovative treatment of modern statistical theory for the social and health sciences. This book develops the fundamentals of what the authors call agnostic statistics, which considers what can be learned about the world without assuming that there exists a simple generative model that can be known to be true. Aronow and Miller provide the foundations for statistical inference for researchers unwilling to make assumptions beyond what they or their audience would find credible. Building from first principles, the book covers topics including estimation theory, regression, maximum likelihood, missing data, and causal inference. Using these principles, readers will be able to formally articulate their targets of inquiry, distinguish substantive assumptions from statistical assumptions, and ultimately engage in cutting-edge quantitative empirical research that contributes to human knowledge.
Idioma: Inglés
Publicado por Cambridge University Press, 2019
ISBN 10: 1316631141 ISBN 13: 9781316631140
Librería: preigu, Osnabrück, Alemania
EUR 46,10
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Añadir al carritoTaschenbuch. Condición: Neu. Foundations of Agnostic Statistics | Peter M. Aronow (u. a.) | Taschenbuch | Kartoniert / Broschiert | Englisch | 2019 | Cambridge University Press | EAN 9781316631140 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoPaperback. Condición: Brand New. 298 pages. 9.00x6.00x0.40 inches. In Stock. This item is printed on demand.
Idioma: Inglés
Publicado por Cambridge University Press, 2019
ISBN 10: 1316631141 ISBN 13: 9781316631140
Librería: Majestic Books, Hounslow, Reino Unido
EUR 58,63
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Idioma: Inglés
Publicado por Cambridge University Press, 2019
ISBN 10: 1316631141 ISBN 13: 9781316631140
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 60,76
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Añadir al carritoCondición: New. PRINT ON DEMAND.
Idioma: Inglés
Publicado por Cambridge University Press, Cambridge, 2019
ISBN 10: 1316631141 ISBN 13: 9781316631140
Librería: CitiRetail, Stevenage, Reino Unido
EUR 46,91
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Añadir al carritoPaperback. Condición: new. Paperback. Reflecting a sea change in how empirical research has been conducted over the past three decades, Foundations of Agnostic Statistics presents an innovative treatment of modern statistical theory for the social and health sciences. This book develops the fundamentals of what the authors call agnostic statistics, which considers what can be learned about the world without assuming that there exists a simple generative model that can be known to be true. Aronow and Miller provide the foundations for statistical inference for researchers unwilling to make assumptions beyond what they or their audience would find credible. Building from first principles, the book covers topics including estimation theory, regression, maximum likelihood, missing data, and causal inference. Using these principles, readers will be able to formally articulate their targets of inquiry, distinguish substantive assumptions from statistical assumptions, and ultimately engage in cutting-edge quantitative empirical research that contributes to human knowledge. This book provides a rigorous but accessible treatment of modern statistical methodology for researchers in the social and health sciences. It provides readers with the mathematical tools to critically engage with cutting-edge statistical methods. 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, Cambridge, 2019
ISBN 10: 1316631141 ISBN 13: 9781316631140
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 70,90
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: new. Paperback. Reflecting a sea change in how empirical research has been conducted over the past three decades, Foundations of Agnostic Statistics presents an innovative treatment of modern statistical theory for the social and health sciences. This book develops the fundamentals of what the authors call agnostic statistics, which considers what can be learned about the world without assuming that there exists a simple generative model that can be known to be true. Aronow and Miller provide the foundations for statistical inference for researchers unwilling to make assumptions beyond what they or their audience would find credible. Building from first principles, the book covers topics including estimation theory, regression, maximum likelihood, missing data, and causal inference. Using these principles, readers will be able to formally articulate their targets of inquiry, distinguish substantive assumptions from statistical assumptions, and ultimately engage in cutting-edge quantitative empirical research that contributes to human knowledge. This book provides a rigorous but accessible treatment of modern statistical methodology for researchers in the social and health sciences. It provides readers with the mathematical tools to critically engage with cutting-edge statistical methods. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.