Bootstrap Program Programs & what they do Features of the GUI The essence of bootstrapping is that in the absence of any other information about a population, the best guide to the distribution of a population is the distribution of a random sample of size n taken from the population. To approximate the outcome of resampling the population, resample the sample. Basically, one creates an infinite population consisting of the n sample values, each of which occurs with probability 1/𝑛. Sampling is done with replacement. The hypothesis: 1. Non-human animals and indigenous peoples will move in similar fashions: a. biphasic distribution of velocities b. Lévy flight distribution of positions. 2. Bad guys will tend to move point-to-point a. Gaussian distribution of velocities, with a fairly constant mean. b. Gaussian distribution of positions? c. 3. Will animals & indigenous peoples tend to disappear from radar screen more often, because they stop to forage? a. *** 4. Bootstrapping is used to calculate the probability of getting a particular set of values with a onetime sample drawn from the distribution that the bootstrap develops. How to approach this? I’ll have a distribution of positions recorded at different times. o Work with positions from the diffusion programs. Take the data and generate a distribution from them? Pseudocode 1. a. 2. a. 3. Notes 1. 1. 4. 1. Supply a distribution for comparison? 2. Supply data in the form of velocity measurements. a. Want to determine if these data came from a particular distribution. b. Sample size = N. 3. *** What I’ll have is some measurements of velocity as a function of time. Want to determine if the distribution of the observed velocity/position was drawn from a particular part of a particular distribution. Programs and what they do: randomization_Manly_1.m What it does Example 1.1 from Manly, 2007, pp. 4-9 Notes Features of the GUI Feature Select diffusion model Select parameters for model Move particle(s) along path Start button, Stop button, Pause button(?) Status Notes 1. Use interruptible feature to implement Pause feature? Displays Movement of particles? Radar display? Distribution of velocities ∑𝑛 𝑥 2 ∑𝑛1 𝑥 2 − ( 1 ) 𝑛 𝑠2 = 𝑛−1