Regression Analysis - Couverture souple

Arkes, Jeremy

Couverture souple

ISBN 10 : 1041002599 ISBN 13 : 9781041002598

Editeur : Routledge, 2025

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This thoroughly practical and engaging textbook conveys the skills needed to responsibly develop, conduct, scrutinize, and interpret statistical analyses without requiring high-level math. Rather than focusing on complicated equations, the book describes these biases visually and with examples of situations in which they could arise.

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� propos de l?auteur

Jeremy Arkes is a retired economics professor from the Graduate School of Business and Public Policy, Naval Postgraduate School, U.S.A.

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: Routledge
Date d'�dition: 2025
Langue: anglais
ISBN 10: 1041002599
ISBN 13: 9781041002598
Reliure: Broch�
Num�ro d'�dition: 3
Nombre de pages: 524
Coordonn�es du fabricant: non disponible
Personne responsable: non disponible

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9781041002604: Regression Analysis: A Practical Introduction

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ISBN 10 : 1041002602 ISBN 13 : 9781041002604
Editeur : Routledge, 2025
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Regression Analysis : A Practical Introduction

Arkes, Jeremy

Edit� par Routledge, 2025

ISBN 10 : 1041002599 ISBN 13 : 9781041002598

Ancien ou d'occasion Couverture souple

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Regression Analysis

Jeremy Arkes

Edit� par Taylor and Francis, 2025

ISBN 10 : 1041002599 ISBN 13 : 9781041002598

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Regression Analysis : A Practical Introduction

Arkes, Jeremy

Edit� par Routledge, 2025

ISBN 10 : 1041002599 ISBN 13 : 9781041002598

Neuf Couverture souple

Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis

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Regression Analysis (Paperback)

Jeremy Arkes

Edit� par Taylor & Francis Ltd, London, 2025

ISBN 10 : 1041002599 ISBN 13 : 9781041002598

Neuf Paperback

Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis

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Paperback. Etat : new. Paperback. This thoroughly practical and engaging textbook conveys the skills needed to responsibly develop, conduct, scrutinize, and interpret statistical analyses, without requiring any high-level math.Regression Analysis details the most common sources of statistical biases, including some not covered in other textbooks. Rather than focusing on complicated equations, the book describes these biases visually and with examples of situations in which they could arise. As the author argues, just learning how to conduct regressions without learning how to properly assess and interpret regressions can do more harm than good. Other unique features include an innovative approach to describing the elusive concept of "holding other factors constant" and proper interpretations of the strength of evidence in light of the Bayesian critique of hypothesis testing. This third edition enhances the emphasis on ethical and responsible research practices and creates more examples demonstrating how the biases and their corrections could affect the regression results.This is the textbook the author wishes he had learned from, as it would have helped him avoid many research mistakes he made in his career at research organizations and in academia. It is ideal for undergraduate and postgraduate students learning quantitative methods in the social sciences, business, medicine, and data analytics. It will also appeal to researchers and academics looking to better understand regressions. This thoroughly practical and engaging textbook conveys the skills needed to responsibly develop, conduct, scrutinize, and interpret statistical analyses without requiring high-level math. Rather than focusing on complicated equations, the book describes these biases visually and with examples of situations in which they could arise. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N� de r�f. du vendeur 9781041002598

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