9781118947043 - statistics and causality: methods for applied empirical research: 2 (wiley series in probability and statistics) (18 resultados)
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Serie: Libro 281 de 358 - Wiley Series in Probability and Statistics
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Statistics and Causality: Methods for Applied Empirical Research Format: Hardcover
Editor: Wolfgang Wiedermann; Editor: Alexander von Eye (Michigan State University, USA)
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Editorial: John Wiley and Sons, 2016
Serie: Libro 281 de 358 - Wiley Series in Probability and Statistics
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Editorial: John Wiley & Sons Inc, New York, 2016
Serie: Libro 281 de 358 - Wiley Series in Probability and Statistics
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Hardcover. Condición: new. Hardcover. >STATISTICS AND CAUSALITY A one-of-a-kind guide to identifying and dealing with modern statistical developments in causality Written by a group of well-known experts, Statistics and Causality: Methods for Applied Empirical Research focuses on the most up-to-date developments in statistical m…ethods in respect to causality. Illustrating the properties of statistical methods to theories of causality, the book features a summary of the latest developments in methods for statistical analysis of causality hypotheses. The book is divided into five accessible and independent parts. The first part introduces the foundations of causal structures and discusses issues associated with standard mechanistic and difference-making theories of causality. The second part features novel generalizations of methods designed to make statements concerning the direction of effects. The third part illustrates advances in Granger-causality testing and related issues. The fourth part focuses on counterfactual approaches and propensity score analysis. Finally, the fifth part presents designs for causal inference with an overview of the research designs commonly used in epidemiology. Statistics and Causality: Methods for Applied Empirical Research also includes: New statistical methodologies and approaches to causal analysis in the context of the continuing development of philosophical theories End-of-chapter bibliographies that provide references for further discussions and additional research topicsDiscussions on the use and applicability of software when appropriate Statistics and Causality: Methods for Applied Empirical Research is an ideal reference for practicing statisticians, applied mathematicians, psychologists, sociologists, logicians, medical professionals, epidemiologists, and educators who want to learn more about new methodologies in causal analysis. The book is also an excellent textbook for graduate-level courses in causality and qualitative logic. A one-of-a-kind guide to identifying and dealing with modern statistical developments in causality Written by a group of well-known experts, Statistics and Causality: Methods for Applied Empirical Research focuses on the most up-to-date developments in statistical methods in respect to causality. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Serie: Libro 281 de 358 - Wiley Series in Probability and Statistics
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Condición: New. Editor(s): Wiedermann, Wolfgang; Von Eye, Alexander. Series: Wiley Series in Probability and Statistics. Num Pages: 446 pages. BIC Classification: PBT. Category: (P) Professional & Vocational. Weight in Grams: 666. . 2016. 1st Edition. Hardcover. . . . .
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Condición: New. Editor(s): Wiedermann, Wolfgang; Von Eye, Alexander. Series: Wiley Series in Probability and Statistics. Num Pages: 446 pages. BIC Classification: PBT. Category: (P) Professional & Vocational. Weight in Grams: 666. . 2016. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.
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Serie: Libro 281 de 358 - Wiley Series in Probability and Statistics
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Hardcover. Condición: new. Hardcover. >STATISTICS AND CAUSALITY A one-of-a-kind guide to identifying and dealing with modern statistical developments in causality Written by a group of well-known experts, Statistics and Causality: Methods for Applied Empirical Research focuses on the most up-to-date developments in statistical m…ethods in respect to causality. Illustrating the properties of statistical methods to theories of causality, the book features a summary of the latest developments in methods for statistical analysis of causality hypotheses. The book is divided into five accessible and independent parts. The first part introduces the foundations of causal structures and discusses issues associated with standard mechanistic and difference-making theories of causality. The second part features novel generalizations of methods designed to make statements concerning the direction of effects. The third part illustrates advances in Granger-causality testing and related issues. The fourth part focuses on counterfactual approaches and propensity score analysis. Finally, the fifth part presents designs for causal inference with an overview of the research designs commonly used in epidemiology. Statistics and Causality: Methods for Applied Empirical Research also includes: New statistical methodologies and approaches to causal analysis in the context of the continuing development of philosophical theories End-of-chapter bibliographies that provide references for further discussions and additional research topicsDiscussions on the use and applicability of software when appropriate Statistics and Causality: Methods for Applied Empirical Research is an ideal reference for practicing statisticians, applied mathematicians, psychologists, sociologists, logicians, medical professionals, epidemiologists, and educators who want to learn more about new methodologies in causal analysis. The book is also an excellent textbook for graduate-level courses in causality and qualitative logic. A one-of-a-kind guide to identifying and dealing with modern statistical developments in causality Written by a group of well-known experts, Statistics and Causality: Methods for Applied Empirical Research focuses on the most up-to-date developments in statistical methods in respect to causality. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Editorial: John Wiley & Sons Inc, New York, 2016
Serie: Libro 281 de 358 - Wiley Series in Probability and Statistics
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Hardcover. Condición: new. Hardcover. >STATISTICS AND CAUSALITY A one-of-a-kind guide to identifying and dealing with modern statistical developments in causality Written by a group of well-known experts, Statistics and Causality: Methods for Applied Empirical Research focuses on the most up-to-date developments in statistical m…ethods in respect to causality. Illustrating the properties of statistical methods to theories of causality, the book features a summary of the latest developments in methods for statistical analysis of causality hypotheses. The book is divided into five accessible and independent parts. The first part introduces the foundations of causal structures and discusses issues associated with standard mechanistic and difference-making theories of causality. The second part features novel generalizations of methods designed to make statements concerning the direction of effects. The third part illustrates advances in Granger-causality testing and related issues. The fourth part focuses on counterfactual approaches and propensity score analysis. Finally, the fifth part presents designs for causal inference with an overview of the research designs commonly used in epidemiology. Statistics and Causality: Methods for Applied Empirical Research also includes: New statistical methodologies and approaches to causal analysis in the context of the continuing development of philosophical theories End-of-chapter bibliographies that provide references for further discussions and additional research topicsDiscussions on the use and applicability of software when appropriate Statistics and Causality: Methods for Applied Empirical Research is an ideal reference for practicing statisticians, applied mathematicians, psychologists, sociologists, logicians, medical professionals, epidemiologists, and educators who want to learn more about new methodologies in causal analysis. The book is also an excellent textbook for graduate-level courses in causality and qualitative logic. A one-of-a-kind guide to identifying and dealing with modern statistical developments in causality Written by a group of well-known experts, Statistics and Causality: Methods for Applied Empirical Research focuses on the most up-to-date developments in statistical methods in respect to causality. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
