Direction Dependence in Statistical Modeling PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Direction Dependence in Statistical Modeling PDF full book. Access full book title Direction Dependence in Statistical Modeling by Wolfgang Wiedermann. Download full books in PDF and EPUB format.
Author: Wolfgang Wiedermann
Publisher: John Wiley & Sons
ISBN: 1119523133
Category : Mathematics
Languages : en
Pages : 432
Get Book Here
Book Description
Covers the latest developments in direction dependence research Direction Dependence in Statistical Modeling: Methods of Analysis incorporates the latest research for the statistical analysis of hypotheses that are compatible with the causal direction of dependence of variable relations. Having particular application in the fields of neuroscience, clinical psychology, developmental psychology, educational psychology, and epidemiology, direction dependence methods have attracted growing attention due to their potential to help decide which of two competing statistical models is more likely to reflect the correct causal flow. The book covers several topics in-depth, including: A demonstration of the importance of methods for the analysis of direction dependence hypotheses A presentation of the development of methods for direction dependence analysis together with recent novel, unpublished software implementations A review of methods of direction dependence following the copula-based tradition of Sungur and Kim A presentation of extensions of direction dependence methods to the domain of categorical data An overview of algorithms for causal structure learning The book's fourteen chapters include a discussion of the use of custom dialogs and macros in SPSS to make direction dependence analysis accessible to empirical researchers.
Author: Wolfgang Wiedermann
Publisher: John Wiley & Sons
ISBN: 1119523133
Category : Mathematics
Languages : en
Pages : 432
Get Book Here
Book Description
Covers the latest developments in direction dependence research Direction Dependence in Statistical Modeling: Methods of Analysis incorporates the latest research for the statistical analysis of hypotheses that are compatible with the causal direction of dependence of variable relations. Having particular application in the fields of neuroscience, clinical psychology, developmental psychology, educational psychology, and epidemiology, direction dependence methods have attracted growing attention due to their potential to help decide which of two competing statistical models is more likely to reflect the correct causal flow. The book covers several topics in-depth, including: A demonstration of the importance of methods for the analysis of direction dependence hypotheses A presentation of the development of methods for direction dependence analysis together with recent novel, unpublished software implementations A review of methods of direction dependence following the copula-based tradition of Sungur and Kim A presentation of extensions of direction dependence methods to the domain of categorical data An overview of algorithms for causal structure learning The book's fourteen chapters include a discussion of the use of custom dialogs and macros in SPSS to make direction dependence analysis accessible to empirical researchers.
Author: Wolfgang Wiedermann
Publisher: John Wiley & Sons
ISBN: 1119523079
Category : Mathematics
Languages : en
Pages : 432
Get Book Here
Book Description
Covers the latest developments in direction dependence research Direction Dependence in Statistical Modeling: Methods of Analysis incorporates the latest research for the statistical analysis of hypotheses that are compatible with the causal direction of dependence of variable relations. Having particular application in the fields of neuroscience, clinical psychology, developmental psychology, educational psychology, and epidemiology, direction dependence methods have attracted growing attention due to their potential to help decide which of two competing statistical models is more likely to reflect the correct causal flow. The book covers several topics in-depth, including: A demonstration of the importance of methods for the analysis of direction dependence hypotheses A presentation of the development of methods for direction dependence analysis together with recent novel, unpublished software implementations A review of methods of direction dependence following the copula-based tradition of Sungur and Kim A presentation of extensions of direction dependence methods to the domain of categorical data An overview of algorithms for causal structure learning The book's fourteen chapters include a discussion of the use of custom dialogs and macros in SPSS to make direction dependence analysis accessible to empirical researchers.
Author: Wolfgang Wiedermann
Publisher: John Wiley & Sons
ISBN: 1118947053
Category : Social Science
Languages : en
Pages : 468
Get Book Here
Book Description
b”STATISTICS AND CAUSALITYA 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. 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 topics Discussions 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.
Author: Dongseok Choi
Publisher: Springer
ISBN: 9811081689
Category : Mathematics
Languages : en
Pages : 168
Get Book Here
Book Description
This book presents the proceedings of the 2nd Pacific Rim Statistical Conference for Production Engineering: Production Engineering, Big Data and Statistics, which took place at Seoul National University in Seoul, Korea in December, 2016. The papers included discuss a wide range of statistical challenges, methods and applications for big data in production engineering, and introduce recent advances in relevant statistical methods.
Author: Edoardo M. Airoldi
Publisher: Springer
ISBN: 3540731334
Category : Computers
Languages : en
Pages : 204
Get Book Here
Book Description
This book constitutes the thoroughly refereed post-proceedings of the International Workshop on Statistical Network Analysis: Models, Issues, and New Directions held in Pittsburgh, PA, USA in June 2006 as associated event of the 23rd International Conference on Machine Learning, ICML 2006. It covers probabilistic methods for network analysis, paying special attention to model design and computational issues of learning and inference.
Author: Mark Stemmler
Publisher: Springer Nature
ISBN: 3031563182
Category :
Languages : en
Pages : 785
Get Book Here
Book Description
Author: Anthony S. Dick
Publisher: Taylor & Francis
ISBN: 1351704567
Category : Family & Relationships
Languages : en
Pages : 271
Get Book Here
Book Description
Advancing Developmental Science reviews the state-of-the-science in theoretical, methodological, and topical research, with a unique focus on the scholarship that developed within a process-relational framework.
Author: Li-Hsien Sun
Publisher: Springer Nature
ISBN: 9811549982
Category : Business & Economics
Languages : en
Pages : 141
Get Book Here
Book Description
This book provides statistical methodologies for time series data, focusing on copula-based Markov chain models for serially correlated time series. It also includes data examples from economics, engineering, finance, sport and other disciplines to illustrate the methods presented. An accessible textbook for students in the fields of economics, management, mathematics, statistics, and related fields wanting to gain insights into the statistical analysis of time series data using copulas, the book also features stand-alone chapters to appeal to researchers. As the subtitle suggests, the book highlights parametric models based on normal distribution, t-distribution, normal mixture distribution, Poisson distribution, and others. Presenting likelihood-based methods as the main statistical tools for fitting the models, the book details the development of computing techniques to find the maximum likelihood estimator. It also addresses statistical process control, as well as Bayesian and regression methods. Lastly, to help readers analyze their data, it provides computer codes (R codes) for most of the statistical methods.
Author: Vladik Kreinovich
Publisher: Springer
ISBN: 3319507427
Category : Technology & Engineering
Languages : en
Pages : 693
Get Book Here
Book Description
This book presents recent research on robustness in econometrics. Robust data processing techniques – i.e., techniques that yield results minimally affected by outliers – and their applications to real-life economic and financial situations are the main focus of this book. The book also discusses applications of more traditional statistical techniques to econometric problems. Econometrics is a branch of economics that uses mathematical (especially statistical) methods to analyze economic systems, to forecast economic and financial dynamics, and to develop strategies for achieving desirable economic performance. In day-by-day data, we often encounter outliers that do not reflect the long-term economic trends, e.g., unexpected and abrupt fluctuations. As such, it is important to develop robust data processing techniques that can accommodate these fluctuations.
Author: Theodore Millon
Publisher: Guilford Press
ISBN: 1606235338
Category : Psychology
Languages : en
Pages : 622
Get Book Here
Book Description
This forward-thinking volume grapples with critical questions surrounding the mechanisms underlying mental disorders and the systems used for classifying them. Edited and written by leading international authorities, many of whom are actively involved with the development of DSM-V and ICD-11, the book integrates biological and psychosocial perspectives. It provides balanced analyses of such issues as the role of social context and culture in psychopathology and the pros and cons of categorical versus dimensional approaches to diagnosis. Cutting-edge diagnostic instruments and research methods are reviewed. Throughout, contributors highlight the implications of current theoretical and empirical advances for understanding real-world clinical problems and developing more effective treatments.
