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1
Solutions Manual to Advanced Regression Models with SAS and R
Chapman and Hall/CRC Press
Olga Korosteleva
proc
deviance
intercept
exp
fitted
estimated
random
fitting
error
predict
fitted.model
estimate
dist
significant
longform.data
subject
likelihood
𝑡
parameter
loglik
outdata
𝑢
coefficients
matrix
genmod
cards
input
prediction
aicc
estimates
noobs
checking
null.model
summary
correlation
gender.rel
𝐶𝑜𝑣
logit
pvalue
𝑃
𝜏
regression
standard
binomial
wald
predicted
response
increases
poisson
library
年:
2019
语言:
english
文件:
PDF, 4.00 MB
您的标签:
0
/
0
english, 2019
2
Advanced Regression Models with SAS and R_revised
Chapman and Hall/CRC Press
Olga Korosteleva
exp
regression
estimated
response
cients
intercept
signi
proc
random
predictors
predicted
tted
βb1
deviance
function
zero
poisson
estimate
models
parameter
dist
logit
prediction
linear
beta
implementation
binomial
likelihood
output
generalized
matrix
interpretation
values
βbk
fitted.model
predict
variables
estimates
fitted
βb0
probability
ects
parameters
covariance
loglik
cumulative
outdata
negative
correlation
predictor
年:
2019
语言:
english
文件:
PDF, 1.24 MB
您的标签:
0
/
0
english, 2019
3
Advanced Regression Models with SAS and R
Taylor & Francis Ltd
Olga Korosteleva
exp
regression
estimated
response
fitted
coefficients
intercept
proc
predictors
βb1
random
predicted
deviance
function
zero
models
poisson
significant
estimate
dist
parameter
prediction
logit
linear
implementation
beta
binomial
fitted.model
likelihood
generalized
βb0
output
variables
βbk
interpretation
values
matrix
predict
estimates
probability
parameters
effects
loglik
cumulative
covariance
negative
inflated
predictor
correlation
genmod
年:
2018
语言:
english
文件:
PDF, 2.66 MB
您的标签:
0
/
0
english, 2018
4
Advanced Regression Models with SAS and R
CRC Press
Olga Korosteleva
exp
regression
estimated
response
fitted
coefficients
intercept
proc
predictors
βb1
random
predicted
deviance
function
zero
models
poisson
significant
estimate
dist
parameter
prediction
logit
linear
implementation
beta
binomial
fitted.model
likelihood
generalized
βb0
output
variables
βbk
interpretation
values
matrix
predict
estimates
probability
parameters
effects
loglik
cumulative
covariance
negative
inflated
predictor
correlation
genmod
年:
2019
语言:
english
文件:
PDF, 2.16 MB
您的标签:
0
/
0
english, 2019
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