Shulph Ink
Direction Dependence in Statistical Modeling: Methods of Analysis
Direction Dependence in Statistical Modeling: Methods of Analysis
- Condition: Brand new
- UK Delivery times: Usually arrives within 2 - 3 working days
- UK Shipping: Fee starts at £2.39. Subject to product weight & dimension
Couldn't load pickup availability
Excellent- More about Direction Dependence in Statistical Modeling: Methods of Analysis
The book "Direction Dependence in Statistical Modeling: Methods of Analysis" covers the latest research methods for analyzing hypotheses compatible with the causal direction of dependence between variables, with applications in neuroscience, clinical psychology, and more. It discusses the importance of methods, development of software implementations, and extensions to categorical data, and provides accessible analysis using SPSS with custom dialogs and macros.
Format: Hardback
Length: 432 pages
Publication date: 28 January 2021
Publisher: John Wiley and Sons Ltd
Direction Dependence in Statistical Modeling: Methods of Analysis is a comprehensive guide that delves into the latest developments in the field of direction dependence research. This book is particularly relevant to the fields of neuroscience, clinical psychology, developmental psychology, educational psychology, and epidemiology, as it offers valuable insights into the statistical analysis of hypotheses that align with the causal direction of dependence between variables.
Due to their remarkable potential to assist in determining which of two competing statistical models is more likely to accurately reflect the correct causal flow, direction dependence methods have garnered increasing attention. The book comprehensively covers various topics, providing in-depth explanations and discussions.
Chapter 1 emphasizes the significance of methods for analyzing direction dependence hypotheses. It highlights the evolution of methods for direction dependence analysis, along with the introduction of recent novel and unpublished software implementations.
Chapter 2 reviews the methods of direction dependence following the copula-based tradition of Sungur and Kim. It explores extensions of direction dependence methods to the domain of categorical data and provides an overview of algorithms for causal structure learning.
Chapter 3 discusses the use of custom dialogs and macros in SPSS to enhance accessibility of direction dependence analysis for empirical researchers.
The remaining fourteen chapters of the book delve into various aspects of direction dependence research, offering comprehensive discussions and insights.
In conclusion, Direction Dependence in Statistical Modeling: Methods of Analysis is a valuable resource for researchers and practitioners interested in understanding and analyzing hypotheses that are compatible with the causal direction of dependence between variables. With its comprehensive coverage of topics, practical examples, and discussions of software implementations, this book provides a solid foundation for advancing the field of direction dependence research.
Weight: 788g
Dimension: 159 x 236 x 24 (mm)
ISBN-13: 9781119523079
This item can be found in:
UK and International shipping information
UK and International shipping information
UK Delivery and returns information:
- Delivery within 2 - 3 days when ordering in the UK.
- Shipping fee for UK customers from £2.39. Fully tracked shipping service available.
- Returns policy: Return within 30 days of receipt for full refund.
International deliveries:
Shulph Ink now ships to Australia, Canada, France, Ireland, Italy, Germany, Spain, Netherlands, New Zealand and the United States of America.
- Delivery times: within 5 - 20 business days when ordering to France, Germany, Ireland, Spain, Canada and the United States. Up to 30 business days for Australia and New Zealand.
- Shipping fee: charges vary for overseas orders. Only tracked services are available for international orders.
- Customs charges: If ordering to addresses outside the United Kingdom, you may or may not incur additional customs and duties fees during local delivery.
