Crossword Solver > found answer > SESTIMATE

Welcome to Anagrammer Crossword Genius! Keep reading below to see if sestimate is an answer to any crossword puzzle or word game (Scrabble, Words With Friends etc). Scroll down to see all the info we have compiled on sestimate.

CROSSWORD
ANSWER

sestimate

Searching in Crosswords ...

The answer SESTIMATE has 0 possible clue(s) in existing crosswords.

Searching in Word Games ...

The word SESTIMATE is NOT valid in any word game. (Sorry, you cannot play SESTIMATE in Scrabble, Words With Friends etc)

There are 9 letters in SESTIMATE ( A¹E¹I¹M³S¹T¹ )

To search all scrabble anagrams of SESTIMATE, to go: SESTIMATE?

Rearrange the letters in SESTIMATE and see some winning combinations

6 letters out of SESTIMATE

5 letters out of SESTIMATE

4 letters out of SESTIMATE

3 letters out of SESTIMATE

AIM AIS AIT AMI ASS ATE ATT EAT EME EMS ESS ETA ISM ITS MAE MAS MAT MET MIS SAE SAT SEA SEE SEI SET SIM SIS SIT TAE TAM TAS TAT TEA TEE TET TIE TIS TIT

2 letters out of SESTIMATE

AE AI AM AS AT EM ES ET IS IT MA ME MI SI TA TI

Searching in Dictionaries ...

Definitions of sestimate in various dictionaries:

No definitions found

Word Research / Anagrams and more ...

Keep reading for additional results and analysis below.

Sestimate might refer to
The goal of S-estimators is to have a simple high-breakdown regression estimator, which share the flexibility and nice asymptotic properties of M-estimators. The name "S-estimators" was chosen as they are based on estimators of scale. * We will consider estimators of scale defined by a function * * * * ρ * * * {\displaystyle \rho } * , which satisfy * R1 - * * * * ρ * * * {\displaystyle \rho } * is symmetric, continuously differentiable and * * * * ρ * ( * 0 * ) * = * 0 * * * {\displaystyle \rho (0)=0} * . * R2 - there exists * * * * c * > * 0 * * * {\displaystyle c>0} * such that * * * * ρ * * * {\displaystyle \rho } * is strictly increasing on * * * * [ * c * , * ∞ * [ * * * {\displaystyle [c,\infty [} * * For any sample * * * * { * * r * * 1 * * * , * . * . * . * , * * r * * n * * * } * * * {\displaystyle \{r_{1},...,r_{n}\}} * of real numbers, we define the scale estimate * * * * s * ( * * r * * 1 * * * , * . * . * . * , * * r * * n * * * ) * * * {\displaystyle s(r_{1},...,r_{n})} * as the solution of* * * * * * 1 * n * * * * ∑ * * i * = * 1 * * * n * * * ρ * ( * * r * * i * * * * / * * s * ) * = * K * * * {\textstyle {\frac {1}{n}}\sum _{i=1}^{n}\rho (r_{i}/s)=K} * , * where * * * * K * * * {\displaystyle K} * is the expectation value of * * * * ρ * * * {\displaystyle \rho } * for a standard normal distribution. (If there are more solutions to the above equation, then we take the one with the smallest solution for s; if there is no solution, then we put * * * * s * ( * * r * * 1 * * * , * . * . * . * , * * r * * n * * * ) * = * 0 * * * {\displaystyle s(r_{1},...,r_{n})=0} * .) * Definition: * Let * * * * ( * * x * * 1 * * * , * * y * * 1 * * * ) * , * . * . * . * , * ( * * x * * n * ...

Sestimate might refer to

The goal of S-estimators is to have a simple high-breakdown regression estimator, which share the flexibility and nice asymptotic properties of M-estimators. The name "S-estimators" was chosen as they are based on estimators of scale.
* We will consider estimators of scale defined by a function
*
*
*
* ρ
*
*
* {\displaystyle \rho }
* , which satisfy
* R1 -
*
*
*
* ρ
*
*
* {\displaystyle \rho }
* is symmetric, continuously differentiable and
*
*
*
* ρ
* (
* 0
* )
* =
* 0
*
*
* {\displaystyle \rho (0)=0}
* .
* R2 - there exists
*
*
*
* c
* >
* 0
*
*
* {\displaystyle c>0}
* such that
*
*
*
* ρ
*
*
* {\displaystyle \rho }
* is strictly increasing on
*
*
*
* [
* c
* ,
* ∞
* [
*
*
* {\displaystyle [c,\infty [}
*
* For any sample
*
*
*
* {
*
* r
*
* 1
*
*
* ,
* .
* .
* .
* ,
*
* r
*
* n
*
*
* }
*
*
* {\displaystyle \{r_{1},...,r_{n}\}}
* of real numbers, we define the scale estimate
*
*
*
* s
* (
*
* r
*
* 1
*
*
* ,
* .
* .
* .
* ,
*
* r
*
* n
*
*
* )
*
*
* {\displaystyle s(r_{1},...,r_{n})}
* as the solution of*
*
*
*
*
* 1
* n
*
*
*
* ∑
*
* i
* =
* 1
*
*
* n
*
*
* ρ
* (
*
* r
*
* i
*
*
*
* /
*
* s
* )
* =
* K
*
*
* {\textstyle {\frac {1}{n}}\sum _{i=1}^{n}\rho (r_{i}/s)=K}
* ,
* where
*
*
*
* K
*
*
* {\displaystyle K}
* is the expectation value of
*
*
*
* ρ
*
*
* {\displaystyle \rho }
* for a standard normal distribution. (If there are more solutions to the above equation, then we take the one with the smallest solution for s; if there is no solution, then we put
*
*
*
* s
* (
*
* r
*
* 1
*
*
* ,
* .
* .
* .
* ,
*
* r
*
* n
*
*
* )
* =
* 0
*
*
* {\displaystyle s(r_{1},...,r_{n})=0}
* .)
* Definition:
* Let
*
*
*
* (
*
* x
*
* 1
*
*
* ,
*
* y
*
* 1
*
*
* )
* ,
* .
* .
* .
* ,
* (
*
* x
*
* n
* ...

Anagrammer Crossword Solver is a powerful crossword puzzle resource site. We maintain millions of regularly updated crossword solutions, clues and answers of almost every popular crossword puzzle and word game out there. We encourage you to bookmark our puzzle solver as well as the other word solvers throughout our site. Explore deeper into our site and you will find many educational tools, flash cards and plenty more resources that will make you a much better player. Sestimate: The goal of S-estimators is to have a simple high-breakdown regression estimator, which share the fl...