'Quantiles' diaporamas de présentation

CHAPTER 3

CHAPTER 3. CHAPTER 3. Overview. ? Random Variables and Distributions ? Continuous Distributions ? The Distribution Function ? Bivariate Distributions ? Marginal Distributions ? Conditional Distributions ? Functions of a Random Variable. So We are Skipping:.

1.55k views • 64 slides

ECON 325 -- Forecasting

ECON 325 -- Forecasting. Preliminaries & Introduction. Course Assumptions. This is not an introduction to R, per se , but as part of the course we will be spending a significant time using the R software platform .

370 views • 25 slides

BIO503: Homework 2 Solutions

BIO503: Homework 2 Solutions. Harvard School of Public Health Wintersession 2009. Question 1A. Use mfrow to set up the layout for a 3 x 4 array of plots. > par(mfrow=c(3,4)) We now have 3 rows, 4 columns and 12 plots in total. For each individual plot, we need to:

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Ensemble Predictions: Understanding Uncertainties

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Outline: Numerical Methods

Outline: Numerical Methods. Measures of Central Tendency Representative value Mean Median, mode, midrange Measures of Dispersion (Variability) How are data points are deviated from the mean? Range variance, standard deviation. Central Tendency: Mean. Arithmetic average

286 views • 15 slides

QQ Plot

QQ Plot. Quantile to Quantile Plot Quantile: Points taken at regular intervals from the cumulative distribution function (CDF) of a random variable QQ Plot: Graphical method for comparing two probability distributions by plotting quantiles of their values against each other

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QQ Plot

QQ Plot. Quantile to Quantile Plot Quantile: Points taken at regular intervals from the cumulative distribution function (CDF) of a random variable QQ Plot: Graphical method for comparing two probability distributions by plotting quantiles of their values against each other

247 views • 7 slides

QQ Plot

QQ Plot. Quantile to Quantile Plot Quantile: Points taken at regular intervals from the cumulative distribution function (CDF) of a random variable QQ Plot: Graphical method for comparing two probability distributions by plotting quantiles of their values against each other

647 views • 5 slides