Continous Probability Distribution von Edu Pristine

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Über den Vortrag

Der Vortrag „Continous Probability Distribution“ von Edu Pristine ist Bestandteil des Kurses „Archiv - Quantitative Analysis“. Der Vortrag ist dabei in folgende Kapitel unterteilt:

  • Uniform Distribution
  • Standard Normal Distribution
  • Normal (Gaussian) Distribution
  • Summation stability
  • Question - FRM Exam 2002
  • Further Questions and Solutions

Dozent des Vortrages Continous Probability Distribution

 Edu Pristine

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

... Central Limit Theory (1hr) Hypothesis testing - introduction ...

... B: Its mean and variance are given by: E(X) =(a + b) / 2 ...

... A.The number 5 is likely to be observed much more often than any other number. ...

... between a and b is given by: The expected value of a normally distributed variable ...

... The independent normal distributions form a normal distribution ...

... Price one year from now is given by S = 100×exp(r), where the rate of return r is normally distributed ...

... Between minus one and one so that the standard deviation of X is 0.577. ...

... In this case 1.96 standard deviation represents a move of 1.12 or less. ...