Statistics With JMP®: Hypothesis Tests, ANOVA and Regression

Chapter 12: Functions of several random variables

Statistics with JMP: Hypothesis Tests, ANOVA and Regression

This book provides a first course on parameter estimation (point estimates and confidence interval estimates), hypothesis testing, ANOVA and simple linear regression. The authors’ approach combines mathematical depth with numerous examples and demonstrations using JMP software.

In this chapter, the authors discuss discrete random variables, as well as continuous random variables. The focus is on bivariate probability distributions and densities, although some more general results are mentioned too.   

You will learn about:

  • Expected value of functions of several random variables.
  • Conditional expected values.
  • Probability distributions of functions of random variables.
  • Functions of independent Poisson, normally, and lognormally distributed random variables.
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  향후 JMP 사용자를 위한 월간 뉴스레터인 Monthly User Guide를 수신하는 데 동의합니다.
  향후 JMP에서 제공하는 제품 정보 및 서비스를 수신하는 데 동의합니다. 언제든지 JMP에서 이메일을 수신 거부할 수 있습니다.

JMP는 SAS Institute Inc.의 한 부서이며 귀하의 정보는 SAS 개인 정보 보호 정책 준칙에 따라 존중하며 보호합니다.

 
 

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