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- Statistical Computing in Modern SEM-PLS: Light Words and Deep Insights
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230600043
Statistical Computing in Modern SEM-PLS: Light Words and Deep Insights
Preces #:
230600043
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Produkta informācija
- Statistical computing problems wildly exist in modern structural equation model-partial least square (SEM-PLS). The book firstly introduces the basic knowledge of quantile regression, various kinds of modern SEM-PLS, and then R and Python techniques and examples in statistical computing. Chapter 2 carries out simulation studies in various SEM-PLS. More specially, the chapter briefly provides different simulation settings based on structural equation models and higher order latent variable models. Chapter 3 introduces the classical SEM-PLS estimation through a talent flow case in artificial intelligent. The study focuses on high-level talents in the field of artificial intelligence as the research object, and build a SEM-PLS model that can reflect the internal structural mechanism of the impact of talent mobility on scientific research performance. Chapter 4 provides R packages which helps to accomplish the estimations in quantile-type SEM-PLS models. The chapter presents R codes in data preparation, statistical analysis and model estimation, and discusses new model assessment indicators from the perspective of quantile. Chapter 5 presents three statistical computing issues in SEM-PLS: Monte carlo methods, imbalanced indicator system and high-dimensional computing.
| Publisher | Eliva Press |
| Publication date | April 27, 2023 |
| Language | English |
| Print length | 178 pages |
| ISBN-10 | 9994987690 |
| ISBN-13 | 978-9994987696 |
| Item Weight | 11.5 ounces (326.03 grams) |
| Dimensions | 6 x 0.41 x 9 inches (15.2 x 1 x 22.9 cm) |
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Statistical Computing in Modern SEM-PLS: Light Words and Deep Insights
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