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Generating Double Exponential Data from Scratch
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Classroom Contents
Using R
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- 1 Using R: PMF of the Sum of K Independent Binomials
- 2 Using R: Simulating Bivariate Normal Random Data (part 1)
- 3 Using R: Simulating Bivariate Normal Random Data (part 2)
- 4 Using R: Sample Mean and Variance - Investigating the Relationship
- 5 Using R to Plot the Exact Sample Range Distribution for any Continuous Density Function
- 6 Using R to Plot the Exact Sample Median Distribution for any Continuous Density Function
- 7 Using R for a 95% CI for Population Median using Sample Order Statistics
- 8 Discrete Order Statistics with Illustration using R
- 9 Using R to Find an Exact CI for a Poisson Parameter
- 10 Using R and the Relationship between the Exponential, ChiSq, and Gamma Distributions
- 11 Using R to Calculate Exact Farkle Probabilities - Dice Rolling Game
- 12 Using R to Generate Truncated Cauchy Random Variables
- 13 Exponential Family: Using R to simulate and confirm the theoretical results
- 14 Correlation between variate values and corresponding ranks (part 3): Illustration Using R.
- 15 Using R: The Multivariate Sign Test
- 16 Generating Uniformly Distributed Points on the Surface of a Sphere
- 17 Using R: Generating Uniformly Distributed Points on the Surface of a Sphere
- 18 MLE of a Gumbel Distribution (part 1)
- 19 MLE for a Gumbel Distribution (part 2)
- 20 Using R to Generate a Random Sample from a Gumbel Distribution
- 21 MLEs of a Gamma Distribution (part 2)
- 22 Method of Moments and MLEs for a Beta Distribution (part 2)
- 23 Generating Double Exponential Data from Scratch
- 24 Using R to Generate Double Exponential Data and Calculate the MLEs
- 25 Using R to explore the joint distribution of the sample mean and variance
- 26 Using R to confirm the moments of sufficient statistics of an inverse gamma distribution
- 27 Using R to find the MLEs and Method of Moments estimators for an Inverse Gamma Distribution
- 28 Using R to test multivariate ordered alternatives with Follmann's test
- 29 Using R: Gram-Schmidt Orthonormalization Process
- 30 Using R: Simple Linear Regression from Scratch
- 31 Using R: QQ-Plots versus Rankit Plots.
- 32 Using R: Shapiro-Wilk Normality Test
- 33 Estimating Pi with Random Numbers Using R (part 1 of 2)
- 34 Estimating Pi with Random Numbers Using R (part 2 of 2)
- 35 Using R: Calculating Probability for a Bivariate Normal Random Variable
- 36 Using R: Method of Moments and ML estimators for Beta Binomial Distribution
- 37 Using R: Serpenski's Triangle from Numberphile's Video
- 38 Using R to Play HIP: A Math Logic Game
