s*******s
发帖数: 1568 | 1 pairwise indep还是不难的吧.... |
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t*******e
发帖数: 172 | 2 Totally do not know your point. What is your claim?
What I claimed: this problem not doable without joint normally assumption.
You try to convince me any two normal distribution are jointly normal(am I
right?), which I am quite doubt about. e.g. I give you two random variable
which have correlation 0, but not indepent. This example show that there are
two N(0,1) are not jointly normal.
On the page 8 of the following notes, it maybe give the exactly argument.
http://www.athenasc.com/Bivariate-Nor |
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S*********g
发帖数: 5298 | 3 B=2C is indepent of A=C.
+C |
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k*****n
发帖数: 117 | 4 since each toss is independent
let Xi = 0 if ith toss and (i+1)-th toss is same
Xi = 1 if they are different
then X1, X2, ... XN-1 are mutually indep
total number of groups = sum(X1..XN-1) + 1
E[ ] = E[ ] + ... E[ ] + 1 =
sum(...) is a binomial
Now you can carry out the calculation yourself |
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c*****g
发帖数: 1856 | 5
this is called retrograde amnesia, means there is loss fro events proir
to the trauma. more often, retrograde amnesia follows a pattern in which
events in teh months or years preceding the trauma are forgotten, but
memory is ncreasingly good for older memories. the most famous case of
this iscalled H.M case, a guy had an operation in which an 8-cm length of medial temporal lobe was bilaterally excised, including cortex.
the procedural memory is another pathway indepently. so , the
mechanism is |
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t******q
发帖数: 117 | 6 ICA, indepent component analysis is also a good
method for feature extracting.
I know a prof is doing 3d modeling using SVD,
he ask the students use ICA model to do the approach,
I feel that the method is computation expensive,
(I do not do this work, just have the sense).
Just read a short toturial paper, the preprocessing
is centering and whitening the data to be
zero mean and uncorrelated with unity covariance.
E(x) = 0;
cov(x) = diag.
consider a sequence of image, that will be a lot time to |
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s**f
发帖数: 365 | 7 请大家帮我回答一下，感谢！
用SAS 的proc logistic做模型，dep variable是有没有疾病。有好几个indep
variable。性别是code成了1是male，-1是female。这样的话：
male的 log（odds） = b0 + b1*male + ...
female的 log （odds）= b0 + b1*female + ...
log(OR) = (b0 + b1 + ...) - (b0 - b1 + ...) = 2b1
OR = e^(2b1)
但是SAS output里面，经过验算，对应性别的OR是 e^(b1)
请问这个问题出在哪里？ |
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p******r
发帖数: 1279 | 8 so this is what will be done in real pratcial business analysis, right?
what if what I really care is just the effect of indep variable which should
be deleted? |
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l*********s
发帖数: 5409 | 9 the difference is between scaled variables and ordinal variables |
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p******r
发帖数: 1279 | 10 well my problem is try to predict the "depression score" based on "some
answers to some designed questions". the depression score is divided into 0
to 9, 0 is "not depressed at all", 9 is "very very depressed"..
One problem is I can't seem to find a good indep variable to be associated
with "depression score" in zero-inflated model. What do you think,
actuaries? |
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p******r
发帖数: 1279 | 11 no, I mean when you try to run zero-inflated negative binomial model, the
SAS coding is like:
proc countreg data = depression method = qn;
model depscore = x1 x2 x3 / dist= zinegbin;
zeromodel depscore ~ x?;
run;
In addition to specify the "model", you have to specify the "zeromodel" as
well.
But which indep varible shall I shoose to put into "x?" ?
Shall I just try x1, x2 or x3 arbitragely one by one to see which one has
good fit?
the |
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j********t
发帖数: 40 | 12 连续变量也可以由interaction吧，在regression中写成X1*X2不行么
significant |
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p******r
发帖数: 1279 | 13 这就是我的问题啊，因为我只看到过categorical里有搞ineraction term，两个连续变
量搞interaction我从来没看到过啊，怕这样瞎搞被别人置疑。。。所以上来问问 |
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D******n
发帖数: 2836 | 14 It is taught first in linear regression..... |
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s*******w
发帖数: 27 | 15 我老板让我做个project， 本人水平有限， 向各位讨教。 希望各位能给我些建议。先
谢过大家！！
比如我们已经知道1000 个加油站的销售量。要做个Predictive Model.
每个加油站大概有100个attributes. 80% attributes are catogorical data. Like
the appearance of this gas station is 1-5. 1 is very bad. 5 is outstanding.
我先是把这100 attributes 能和的和，能去的去。俺家领导要求保留尽可能多的
independent variables. 所以最后还是有很多indep variables. 我就用加油站的销售
量做为Dependent variable. 做个Regression. Because of muticolinearity problem
, many weights don't make sense at all.
最后决定给这100 Independent variables 分成5大类, 像Facility，... 阅读全帖 |
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l*********s
发帖数: 5409 | 16 indep is a model assumption, whether it is reasonable depends on the
questions. |
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l******n
发帖数: 9344 | 17 la的indepent contributor, manager level, stat manager title, 不管人, 工资 up
to 110k, 15% target bonus
有兴趣的可以自己找网上的link申请 |
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t*****w
发帖数: 254 | 18 When I had my job interview, they always tested my SAS skill.However I use R
all the time. To help your preparation, read my R codes to see how much you
can understand it.
%in%
?keyword
a<-matrix(0,nrow=3,ncol=3,byrow=T)
a1 <- a1/(t(a1)%*%spooled%*%a1)^.5 #standadization in discrim
a1<- a>=2; a[a1]
abline(h = -1:5, v = -2:3, col = "lightgray", lty=3)
abline(h=0, v=0, col = "gray60")
abs(r2[i])>r0
aggregate(iris[,1:4], list(iris$Species), mean)
AND: &; OR: |; NOT: !
anova(lm(data1[,3]~data1[,1... 阅读全帖 |
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b*******z
发帖数: 155 | 19 data test;
infile datalines;
input a $ 20 b $;
datalines;
indepent va
;
run;
我run出来是报错的，0 obs
但是sas 123题的第33题答案是 有1个obs ，b是missing value
想确认下这种情况到底是0还是1呢 |
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s***c
发帖数: 28 | 21 一辆2005 BMX x3 打算过去查一下... |
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f**********g
发帖数: 2252 | 23 那斯达克证券市场 - NASDAQ (2011/01/27)
时间 代号 公司名称 涨/跌 最近价格 交易量 涨跌%
13:20 HAFC HANMI FINL CP/汉米金融公司 0.34 1.51 14399188 29.06 %
13:16 BSET BASSETT FURNITR/Bassett家俱 1.3 5.85 167094 28.57 %
12:56 BERK BERKSHIRE BCP/Berkshire 能源资源公司 1.54 7.9 112910 24.21 %
13:15 HMNF HMN FINL INC/HMN财政公司 0.48 3.12 2100 18.18 %
13:19 ACAT ARCTIC CAT INC/Arctic Cat公司 2.38 16.1 356996 17.35 %
13:20 CCME CHINA MEDIAEXPR/ 2.89 22.45 4167913 14.77 %
13:21 NFLX NETFLIX INC/ 26.6 209.63 138541... 阅读全帖 |
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f**********g
发帖数: 2252 | 24 那斯达克证券市场 - NASDAQ (2011/01/27)
时间 代号 公司名称 涨/跌 最近价格 交易量 涨跌%
13:20 HAFC HANMI FINL CP/汉米金融公司 0.34 1.51 14399188 29.06 %
13:16 BSET BASSETT FURNITR/Bassett家俱 1.3 5.85 167094 28.57 %
12:56 BERK BERKSHIRE BCP/Berkshire 能源资源公司 1.54 7.9 112910 24.21 %
13:15 HMNF HMN FINL INC/HMN财政公司 0.48 3.12 2100 18.18 %
13:19 ACAT ARCTIC CAT INC/Arctic Cat公司 2.38 16.1 356996 17.35 %
13:20 CCME CHINA MEDIAEXPR/ 2.89 22.45 4167913 14.77 %
13:21 NFLX NETFLIX INC/ 26.6 209.63 138541... 阅读全帖 |
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w***w
发帖数: 6301 | 25 ULTIMATEBET ISSUES STATEMENT REGARDING UNFAIR PLAY
MONTREAL, CANADA (MAY 29, 2008) --- Tokwiro Enterprises ENRG ("Tokwiro"),
proprietors of UltimateBet.com ("UltimateBet"), one of the world's largest
online card rooms, today announced the results of its lengthy investigation
into allegations of unfair play, which was triggered by concerns about an
account named 'NioNio'. Tokwiro has worked diligently in cooperation with
its regulatory body, the Kahnawake Gaming Commission ("KGC"), and with
indep |
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