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Common errors in statistics (and how to avoid them) /
"The Fourth Edition of this tried-and-true book elaborates on many key topics such as epidemiological studies, distribution of data; baseline data incorporation; case control studies; simulations; statistical theory publication; biplots; instrumental variables; ecological regression; result rep...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Hoboken :
Wiley,
2012.
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| Edición: | Fourth edition. |
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- Common Errors in Statistics (and How to Avoid Them); Contents; Preface; Part I: FOUNDATIONS; Chapter 1: Sources of Error; PRESCRIPTION; FUNDAMENTAL CONCEPTS; SURVEYS AND LONG-TERM STUDIES; AD-HOC, POST-HOC HYPOTHESES; TO LEARN MORE; Chapter 2: Hypotheses: The Why of Your Research; PRESCRIPTION; WHAT IS A HYPOTHESIS?; HOW PRECISE MUST A HYPOTHESIS BE?; FOUND DATA; NULL OR NIL HYPOTHESIS; NEYMAN-PEARSON THEORY; DEDUCTION AND INDUCTION; LOSSES; DECISIONS; TO LEARN MORE; Chapter 3: Collecting Data; PREPARATION; RESPONSE VARIABLES; DETERMINING SAMPLE SIZE; FUNDAMENTAL ASSUMPTIONS.