Common Probability Distributions
Über den Vortrag
Der Vortrag „Common Probability Distributions“ von Edu Pristine ist Bestandteil des Kurses „Archiv - Quantitative Methods“. Der Vortrag ist dabei in folgende Kapitel unterteilt:
- Probability Distribution
- Cumulative Distribution Function
- Discrete Probability Distribution
- Probability given discrete binomial distribution function
- Continous uniform distribution
- Tracking Error
Dozent des Vortrages Common Probability Distributions
Edu Pristine
Trusted by Fortune 500 Companies and 10,000 Students from 40+ countries across the globe, EduPristine is one of the leading International Training providers for Finance Certifications like FRM®, CFA®, PRM®, Business Analytics, HR Analytics, Financial Modeling, Operational Risk Modeling etc. It was founded by industry professionals who have worked in the area of investment banking and private equity in organizations such as Goldman Sachs, Crisil - A Standard & Poors Company, Standard Chartered and Accenture.EduPristine has conducted corporate training for various leading corporations and colleges like JP Morgan, Bank of America, Ernst & Young, Accenture, HSBC, IIM C, NUS Singapore etc. EduPristine has conducted more than 500,000 man-hours of quality training in finance.
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Auszüge aus dem Begleitmaterial
... between discrete and continuous random variables and their probability functions ...
... maps events to numbers, which consist of all ...
... is denoted by p(x) & is the probability ...
... If a variable can take on any value between two specified values, it is called a continuous variable and the probability distribution is continuous, else it ...
... 1.The probability that a continuous random variable will assume a particular value is zero ...
... HH, HT, TH, and TT let the variable X represent the number of heads that result from this experiment. It can take on the values 0, 1, or 2X is a random variable as it can take values ...
... each outcome of a statistical experiment with its probability of occurrence ...
