Statistics with Posterior Probability and a PHC Curve
portes grátis
Statistics with Posterior Probability and a PHC Curve
Toyoda, Hideki
Springer Verlag, Singapore
06/2024
404
Dura
9789819730933
15 a 20 dias
Descrição não disponível.
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.
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Bayesian Statistics;Posterior Probability;Generated Quantities;Markov Chain Monte Carlo Method;MCMC;Probability That Research Hypothesis is Correct;PHC;Stan
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
