Statistics with Posterior Probability and a PHC Curve
This textbook reconstructs the statistics curriculum from the perspective of posterior probability. In recent years, there have been several reports that the results of studies using significant tests cannot be reproduced. It is a problem called a “reproducibility crisis”. For example, suppose we co...
-д хадгалсан:
| Үндсэн зохиолч: | |
|---|---|
| Байгууллагын зохиогч: | |
| Формат: | Цахим Цахим ном |
| Хэл сонгох: | англи |
| Хэвлэсэн: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2024.
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| Хэвлэл: | 1st ed. 2024. |
| Нөхцлүүд: | |
| Онлайн хандалт: | https://doi.org/10.1007/978-981-97-3094-0 |
| Шошгууд: |
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Агуулга:
- chapter01 Data summary and theoretical distribution
- chapter02 Posterior Distribution and Bayes' Theorem
- chapter03 Inference about a normal distribution
- chapter04 Generated quantities
- chapter05 phc curve and ROPE
- chapter06 Inference about two normal distributions
- chapter07 Group difference between two independent groups
- chapter08 Bivariate and multivariate data
- chapter09 difference score of paired two groups
- chapter10 Independent one-factor analysis
- chapter11 Independent two-factor analysis
- chapter12 Binomial distribution model
- chapter13 Multinomial distribution model
- chapter14 simple regression model
- chapter15 multiple regression model
- chapter16 Interpreting partial regression coefficients
- chapter17 Logistic regression / Meta-analysis
- chapter18 Poisson model / Log-linear model
- chapter19 Independent one-factor analysis with various distributions
- chapter20 Analysis of covariance / Propensity score
- chapter21 Advanced experimental design
- chapter22 Hierarchical linear model.