How to Rewrite \sum_{i=1}^{n} |(y_i-\theta)|=n\theta in Closed Form?

  • Context: Graduate 
  • Thread starter Thread starter member 428835
  • Start date Start date
  • Tags Tags
    Form Sum
Click For Summary
SUMMARY

The discussion centers on rewriting the equation \(\sum_{i=1}^{n} |(y_i-\theta)|=n\theta\) in closed form, where \(\theta\) is a fixed constant and \(y_i\) represents discrete random variables. Participants question whether the \(y_i\) are dependent variables that consistently yield the sum \(n\theta\) or if the notation \(|...|\) is intended to denote expected value rather than absolute value. The conversation also addresses formatting issues in LaTeX, suggesting the use of "itex" to prevent line breaks.

PREREQUISITES
  • Understanding of discrete random variables
  • Familiarity with LaTeX typesetting, specifically "itex" format
  • Knowledge of mathematical notation for absolute values and expected values
  • Basic concepts of summation in mathematics
NEXT STEPS
  • Research the properties of absolute values in summation
  • Explore the concept of expected value in probability theory
  • Learn advanced LaTeX formatting techniques to avoid line breaks
  • Study the implications of variable dependence in statistical equations
USEFUL FOR

Mathematicians, statisticians, and students studying probability theory, as well as individuals seeking to improve their LaTeX formatting skills.

member 428835
[tex]\sum_{i=1}^{n} |(y_i-\theta)|=n\theta[/tex]

where theta is a fixed constant and [itex]y_i[/itex] is a discrete random variable. does anyone know how to rewrite in close form?? also, everytime i use latex it starts a new line. how can i fix this so i can type directly with my sentances?

thanks
 
Last edited by a moderator:
Physics news on Phys.org
Instead of using "tex" use "itex".
 
joshmccraney said:
[tex]\sum_{i=1}^{n} |(y_i-\theta)|=n\theta[/tex]

where theta is a fixed constant and [itex]y_i[/itex] is a discrete random variable.

It isn't clear what you mean by that equation. Are the [itex]y_i[/itex] random variables that are dependendent on each other in a way that forces [itex]\sum_{i=1}^n |(y_i-\theta)|[/itex] to always add up to be [itex]n \theta[/itex]?

Or are you using the notation "|...|" to mean "expected value" instead of "absolute value"?
 

Similar threads

  • · Replies 5 ·
Replies
5
Views
2K
Replies
3
Views
2K
Replies
1
Views
3K
  • · Replies 15 ·
Replies
15
Views
3K
  • · Replies 5 ·
Replies
5
Views
2K
  • · Replies 7 ·
Replies
7
Views
2K
  • · Replies 1 ·
Replies
1
Views
3K
Replies
2
Views
3K
  • · Replies 2 ·
Replies
2
Views
1K
  • · Replies 1 ·
Replies
1
Views
1K