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  1. Math
  2. Statistics And Probability
  3. Statistics
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"Phase Estimation with Application
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"I was still a couple of miles above the clouds... violence I fell to the ground that I found myself...
"Body-In-The-Loop": Optimizing Device Parameters Using Measures of Instantaneous Energetic Cost
"Body-In-The-Loop": Optimizing Device Parameters Using Measures of Instantaneous Energetic Cost
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" 11 PAPER
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#Read the data d=read.delim(" ~dnett/S511/RepeatedMeasures.txt") head(d)
#Read the data d=read.delim(" ~dnett/S511/RepeatedMeasures.txt") head(d)
#R code: Discussion 7
#R code: Discussion 7
#ONSIDERATIONS 5NCERTAINTY )NTRODUCTION #(!04%2
#ONSIDERATIONS 5NCERTAINTY )NTRODUCTION #(!04%2
#greysanatomy versus #yankees: Demographics and Hashtag Use on Twitter Jisun An Ingmar Weber
#greysanatomy versus #yankees: Demographics and Hashtag Use on Twitter Jisun An Ingmar Weber
#A45 INTEGERS 10 (2010), 531-558 GENERALIZING THE COMBINATORICS OF BINOMIAL !
#A45 INTEGERS 10 (2010), 531-558 GENERALIZING THE COMBINATORICS OF BINOMIAL !
#A10 INTEGERS 12 (2012) MOD 2
#A10 INTEGERS 12 (2012) MOD 2
#7.26 a) For each of the response variables, I first fit main... insignificant variables. The models I finally chose are as followings:
#7.26 a) For each of the response variables, I first fit main... insignificant variables. The models I finally chose are as followings:
#5.16 q<-4;n<-355;alpha<-0.05 p<-c(.3,.33,.16,.07,.14) diag(sigma)<-p*(1-p)
#5.16 q<-4;n<-355;alpha<-0.05 p<-c(.3,.33,.16,.07,.14) diag(sigma)<-p*(1-p)
#18 - The Sample Mean and Control Charts
#18 - The Sample Mean and Control Charts