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redescen

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

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

There are 8 letters in REDESCEN ( C3D2E1N1R1S1 )

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

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Scrabble results that can be created with an extra letter added to REDESCEN

CREDENCES DECENTRES DESCENDER REDESCEND RESIDENCE DECENTERS

8 letters out of REDESCEN

SCREENED SECERNED

7 letters out of REDESCEN

DECERNS DECREES NEEDERS RECEDES SECEDER SNEERED

6 letters out of REDESCEN

CEDERS CENSED CENSER CREEDS CREESE DECERN DECREE DENSER ENDERS NEEDER RECEDE RESEED RESEEN RESEND SCREED SCREEN SECEDE SECERN SEEDER SENDER SERENE

5 letters out of REDESCEN

CEDER CEDES CENSE CERED CERES CREDS CREED DEERS DENES DENSE DREES ENDER ERNES NEEDS NERDS REDES REEDS RENDS RESEE SCEND SCENE SCREE SEDER SERED SNEER

4 letters out of REDESCEN

CEDE CEES CERE CRED DEER DEES DENE DENS DERE DREE ENDS ERNE ERNS ESNE NEED NERD RECS REDE REDS REED REES REND SEED SEEN SEER SEND SENE SERE SNED

3 letters out of REDESCEN

CEE DEE DEN EDS END ENS ERE ERN ERS NEE REC RED REE RES SEC SEE SEN SER

2 letters out of REDESCEN

DE ED EN ER ES NE RE

Searching in Dictionaries ...

Definitions of redescen in various dictionaries:

REDESCEN - In statistics, Redescending M-estimators are Ψ-type M-estimators which have ψ functions that are non-decreasing near the origin, but decreasing tow...

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Redescen might refer to
In statistics, Redescending M-estimators are Ψ-type M-estimators which have ψ functions that are non-decreasing near the origin, but decreasing toward 0 far from the origin. Their ψ functions can be chosen to redescend smoothly to zero, so that they usually satisfy ψ(x) = 0 for all x with |x| > r, where r is referred to as the minimum rejection point.
* Due to these properties of the ψ function, these kinds of estimators are very efficient, have a high breakdown point and, unlike other outlier rejection techniques, they do not suffer from a masking effect. They are efficient because they completely reject gross outliers, and do not completely ignore moderately large outliers (like median).
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