Please enable JavaScript.
Coggle requires JavaScript to display documents.
Statistics (Correlation/Regression (Non-standard predictors (Nonlinear…
Statistics
Correlation/Regression
Correlation
Pearson product-moment
Parital correlation
Confounding variable
Coefficient of determination
Regression Analysis
Errors and residuals
Regression model validation
Mixed effects models
Simultaneous equations models
Multivariate adaptive regresion splines (MARS)
Partition of Variance
ANOVA
ANCOVA
Multivariate ANOVA
Degrees of Freedom
Generalised Linear Models
#
Exponential Families
Logistic (Bernoulli)
Binomial
Poisson
Non-standard predictors
Nonlinear regression
Nonparametric
Semiparametric
Isotonic
Robust
Heteroscedasticity
Homoscedasticity
Linear Regression
Simple Linear Regression
Ordinary Least Squares
General Linear Model
Bayesian Regression
Survival
Test
Log-rank test
Hazard function
Nelson-Aalen estimator
Survival function
Non-parametric
Kaplan-Meier estimator
Proportional Hazards models
Accelerated failure time models
First hitting time
Parametric
Exponential
Weibull
Inference
Frequentist
Point Estimation
Estimating equations
Maximum likelihood
Method of moments
M-estimator
Minimum distance
Unbiased Estimators
Mean-unbiased minimum variance
Rao-Blackwellization
Lehmann-Scheffe theorem
Median unbiasaed
Plug-in principle
Interval Estimation
Confidence interval
Pivot
Likelihood interval
Prediction interval
Tolerance Interval
Resampling
Bootstrap
Jackknife
Testing Hypotheses
1- & 2-tails
Power
Permutation test
Multiple comparisons
Parametric Tests
Likelihood ratio
Wald
Score
Bayesian
Bayesian Estimator
Bayes Factor
Credible Interval
Bayesian Probability
Prior
Posterior
Specific Tests
Normal approximation
Z (normal)
Student's t-test
F test
Goodness of fit
Chi-squared
Kolmogorov-Smirnov
Anderson-Darling
Lilliefors
Jarque-Bera
Normality (Shapiro-Wilk)
Model Selection
Cross validation
AIC
BIC
Generalised Linear Models
Model components
Linear predictor
Link function
Identity
Normal
Inverse (squared)
Exponential
Gamma
Inverse Gaussian
Log
Poisson
Logit
Bernoulli
Binomial
Categorical
Multinomial
Probability distribution
Generalised additive models
Correlated/Clustered Data
Generalised estimating equations
Alternating logistic regression
Generalised linear mixed models
Logistic mixed models
Causal Inference