wektor obserwacji zmiennej objaśnianej

English translation: observation vector of the response (dependent) variable

GLOSSARY ENTRY (DERIVED FROM QUESTION BELOW)
Polish term or phrase:wektor obserwacji zmiennej objaśnianej
English translation:observation vector of the response (dependent) variable
Entered by: anouszka

16:23 Mar 26, 2018
Polish to English translations [PRO]
Science - Mathematics & Statistics
Polish term or phrase: wektor obserwacji zmiennej objaśnianej
Research on statistical data concerning life expectancy.
anouszka
Local time: 14:06
observation vector of the response (dependent) variable
Explanation:
Contemporary measuring technology in condition monitoring of critical systems allow us to form diagnostic symptom observation vector, with components different physically, and to extract fault information from such created symptom observation matrix.
Wspóáczesne technologie pomiarowe w diagnostyce obiektów krytycznych pozwalają nam formuáowaü bardzo bogaty wektor obserwacji diagnostycznej obiektu, ze skáadowymi o róĪnej naturze fizykalnej.
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.baztec...
cccccccccccccccccccccccccccc
Zmienna objaśniana (ang. response variable)
Zmienna objaśniana to inaczej zmienna zależna.
https://dobrebadania.pl/zmienna-objasniana-ang-response-vari...

--------------------------------------------------
Note added at 1 hr (2018-03-26 17:49:07 GMT)
--------------------------------------------------

ccccccccccc
General linear mixed models, notation and assumptions. Consider the general linear mixed model. (1) y = X β + Z v + ϵ ,. where y is an N × 1 observation vector of the response variable, X and Z are N × p and N × M matrices, respectively, of the explanatory variables, β is a p × 1 unknown vector of the regression coefficients
https://www.sciencedirect.com/science/article/pii/S0047259X1...

--------------------------------------------------
Note added at 1 hr (2018-03-26 17:51:08 GMT)
--------------------------------------------------

cccccc
SIS procedure with specific screening threshold in each iteration and the iteration
stops automatically, where the threshold in the first iteration is based on
the (1 − α) quantile
G
−1
(1 − α|Y , F ˜
1, . . . , Fq),
where G(·|Y , F ˜
1, . . . , Fq) is the cumulative distribution function for the maximum
of absolute sample correlations between Y˜ : the observation vector for the
response variable
and observations for q variables that are independent of the response variable, where the q variables are independent and have CDF’s F1,
. . ., Fq respectively. When p is not too large, we take q = p and take Fj to be
FˆXj , the empirical CDF of Xj , for j = 1, . . ., p for the first iteration
https://arxiv.org/pdf/1801.00105.pdf
Selected response from:

Frank Szmulowicz, Ph. D.
United States
Local time: 09:06
Grading comment
Thank you for this complete answer
4 KudoZ points were awarded for this answer



Summary of answers provided
3observation vector of the response (dependent) variable
Frank Szmulowicz, Ph. D.


  

Answers


1 hr   confidence: Answerer confidence 3/5Answerer confidence 3/5
observation vector of the response (dependent) variable


Explanation:
Contemporary measuring technology in condition monitoring of critical systems allow us to form diagnostic symptom observation vector, with components different physically, and to extract fault information from such created symptom observation matrix.
Wspóáczesne technologie pomiarowe w diagnostyce obiektów krytycznych pozwalają nam formuáowaü bardzo bogaty wektor obserwacji diagnostycznej obiektu, ze skáadowymi o róĪnej naturze fizykalnej.
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.baztec...
cccccccccccccccccccccccccccc
Zmienna objaśniana (ang. response variable)
Zmienna objaśniana to inaczej zmienna zależna.
https://dobrebadania.pl/zmienna-objasniana-ang-response-vari...

--------------------------------------------------
Note added at 1 hr (2018-03-26 17:49:07 GMT)
--------------------------------------------------

ccccccccccc
General linear mixed models, notation and assumptions. Consider the general linear mixed model. (1) y = X β + Z v + ϵ ,. where y is an N × 1 observation vector of the response variable, X and Z are N × p and N × M matrices, respectively, of the explanatory variables, β is a p × 1 unknown vector of the regression coefficients
https://www.sciencedirect.com/science/article/pii/S0047259X1...

--------------------------------------------------
Note added at 1 hr (2018-03-26 17:51:08 GMT)
--------------------------------------------------

cccccc
SIS procedure with specific screening threshold in each iteration and the iteration
stops automatically, where the threshold in the first iteration is based on
the (1 − α) quantile
G
−1
(1 − α|Y , F ˜
1, . . . , Fq),
where G(·|Y , F ˜
1, . . . , Fq) is the cumulative distribution function for the maximum
of absolute sample correlations between Y˜ : the observation vector for the
response variable
and observations for q variables that are independent of the response variable, where the q variables are independent and have CDF’s F1,
. . ., Fq respectively. When p is not too large, we take q = p and take Fj to be
FˆXj , the empirical CDF of Xj , for j = 1, . . ., p for the first iteration
https://arxiv.org/pdf/1801.00105.pdf

Frank Szmulowicz, Ph. D.
United States
Local time: 09:06
Works in field
Native speaker of: Native in EnglishEnglish, Native in PolishPolish
PRO pts in category: 168
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