- Bayesian approach to estimating an average
- A frequentist approach to estimating an average
- A measure of fit
- Akaikes information criterion
- An example of calculating required sample sizes
- Analysing averages and frequencies
- Analysing the mean of the Poisson distribution
- Annual mortality of powerful owls
- Assign prior probabilities
- Bayes rule for a finite number of hypotheses
- Bayes rule for continuous hypotheses
- Bayesian analysis of a proportion
- Bayesian methods - 2
- Bayesian Methods for Ecology
- Bayesian methods in the courts
- Box 12 Conditional probability
- Box 16 Monte Carlo methods
- Box 23 Null hypotheses in the courts
- Box 311 Estimating a proportion
- Box 314 Analysing multinomial proportions
- Box 33 The Poisson distribution
- Box 36 Hierarchical models
- Box 38 More on sample sizes
- Box 44 Comparing different models
- Calculate the pvalue
- Calculate the relative amount of information lost by each model
- Calculating DD as a measure of model fit
- Concluding remarks - 2 3
- Contents
- Credible intervals for proportions
- Define the null hypothesis and its alternative
- Deviance information criterion
- Estimating a mean for a normal model analytically
- Estimating a mean for a normal model using WinBUGS
- Estimating a proportion with a beta prior
- Estimating a proportion with a subjective uniform prior
- Estimating effect sizes
- Estimating the difference between paired observations
- Estimating the mean of a normal model with an uninformative prior
- Example 2 Estimation of a mean
- Fail to reject the null when the pvalue is large
- Frequentist approaches
- How complex is the model
- How different are the models
- How good are the models
- How good is the fit
- Information theoretic methods
- Information theoretic methods in the courts
- Informationtheoretic methods - 2
- Introduction - 2
- Multinomial models
- Null hypothesis significance testing - 2 3
- Null hypothesis tests for a proportion
- Of a species
- Preface
- Prior
- Random sampling from the posterior distribution using WinBUGS
- Reject the null hypothesis if the pvalue is small
- Required sample sizes when estimating means
- Select a set of candidate models - 2
- Sex ratio of koalas
- Summary of informationtheoretic methods
- Summary of null hypothesis testing
- The Bayes factor and model probabilities
- The Bayesian method
- The Bayesian solution for the normal mean
- The burnin when sampling from Markov chains
- The frog surveying problem in WinBUGS
- The Poisson distribution with extra variation
- The Poisson model with extra variation
- Uncertainty in complex functionsdiversity of a pond community
- Uncertainty in the required sample size
- Use Bayes rule to combine the prior and the data
- Using proportions
- WinBUGS code for determining the presence of a species