ISBN: 9781041002604

By Jeremy Arkes. Author Jeremy Arkes. Introduction 2. Regression analysis basics 3. Essential tools for regression analysis 4. Imprecision, standard errors, hypothesis tests, p-values, an… More...

By Jeremy Arkes. Author Jeremy Arkes. Introduction 2. Regression analysis basics 3. Essential tools for regression analysis 4. Imprecision, standard errors, hypothesis tests, p-values, and aliens 6. The Nile on eBay   Regression Analysis by Jeremy Arkes 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. FORMATHardcover CONDITIONBrand New Publisher Description 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. Table of Contents 1. Introduction 2. Regression analysis basics 3. Essential tools for regression analysis 4. What does "holding other factors constant" mean? 5. Imprecision, standard errors, hypothesis tests, p-values, and aliens 6. What could go wrong when estimating causal effects? 7. Strategies for other regression objectives 8. Methods to address biases 9. Other methods besides Ordinary Least Squares 10. Time-series models 11. Some really interesting research 12. How to conduct a research project 13. The ethics of regression analysis 14. Summarizing thoughts. Appendix A: Background statistical tools. Appendix B: Data licenses for temperature_gdp dataset in exercises. Glossary. Details ISBN1041002602 Author Jeremy Arkes Publisher Taylor & Francis Ltd Edition Description 3rd edition Year 2025 Edition 3rd ISBN-13 9781041002604 Format Hardcover Publication Date 2025-09-12 Imprint Routledge Subtitle A Practical Introduction Place of Publication London Country of Publication United Kingdom Replaces 9781032257846 Alternative 9781041002598 Illustrations 82 Tables, black and white; 56 Line drawings, color; 17 Line drawings, black and white; 56 Illustrations, color; 17 Illustrations, black and white Audience Tertiary & Higher Education UK Release Date 2025-09-12 ISBN-10 1041002602 Country of Origin GB Product Class Description Economics: Textbooks & Study Guides Pages 500 DEWEY 519.536 We've got thisAt The Nile, if you're looking for it, we've got it.With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:172260206; , Festpreisangebot, [LT: FixedPrice], ISBN-13: 9781041002604, [PU: Popular Library]<

2025, ISBN: 1041002602

[EAN: 9781041002604], New book, [PU: Taylor & Francis Ltd, London], Hardcover. This thoroughly practical and engaging textbook conveys the skills needed to responsibly develop, conduct, s… More...

[EAN: 9781041002604], New book, [PU: Taylor & Francis Ltd, London], Hardcover. 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., Books<

ISBN: 9781041002604

This thoroughly practical and engaging textbook conveys the skills needed to responsibly develop, conduct, scrutinize, and interpret statistical analyses, without requiring any high-level… More...

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. Trade Books>Hardcover>Business>Business & Economics>Economics, Taylor & Francis Core >2<

ISBN: 9781041002604

This thoroughly practical and engaging textbook conveys the skills needed to responsibly develop, conduct, scrutinize, and interpret statistical analyses, without requiring any high-level… More...

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. Trade Books>Hardcover>Business>Economics>Economics, Taylor & Francis Core >2<

2025, ISBN: 9781041002604

A Practical Introduction, Buch, Hardcover, 3rd edition, This thoroughly practical and engaging textbook conveys the skills needed to responsibly develop, conduct, scrutinize, and interpre… More...

A Practical Introduction, Buch, Hardcover, 3rd edition, 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. [PU: Routledge], Seiten: 500, Routledge, 2025<