T******s
发帖数: 24 | 1 I just did this last week. I got a onsite from school A in London and then
emailed School B in Manchester which will start reviewing 10 days later.
School B called me 2 hours later after my email and provided me with all the
transportation and accommodation because it can save the huge airfare.
Schools do care about how many flyout you can get, which demonstrate your
makret vlaue. You should go ahead for sure. |
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h*******3
发帖数: 121 | 2 Needs vlaue of $600. Please PM |
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S*******s
发帖数: 10098 | 3 还是别把桔子比较苹果了。患得患失的， 让我看了也替你们揪心。
买保额主要为了的是给孩子配偶一个后备，如果不存在早死早病残的担心，也不需要留
遗产，那你就高
兴地投Index 吧， 什么保险也不用买。你就用不着把桔子Index 和苹果participating
whole life去反复纠结了。
一旦想要防险，对于收入不高的家庭， 出发点首先为了protect and provide for
family, 买term （timed protection ）就可以， 或者买小量的终保， 外加一点可转
化的term保条款。 如果需要留遗产给孩子， 和收入高的家庭， 也已经maxed out其他
退休金账号， 那买那种参股的终生险是一个安全的分散资金办法， 也是即刻建立1个
遗产的方法。 它种所附带的投资回报那是protection 之外的2nd tier 的好处，关键
是， 它是book vlaue,不受股票市场的动荡。 历史数据显示非常有可能6%-9%，如果算
上税务优惠那更高。 当然，未来的回报高低， 不能用
历史数据作保。
而且，一些变量会让每个参股投保人的回报有差别，比如：投入期... 阅读全帖 |
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z********i
发帖数: 568 | 4 queue and stack are different for min: (1) min of queue is dynamic,
depending on futher insertion of numbers, while (2) min of stack is "static"
--is determined by current numbers in stack.
For example：both queue and stack have numbers 10 20 30 40. Then the min of
both queue and stack are 10. However，after 5 is inserted, the min of the
queue is 5(min of 10 20 30 40 5), while the min of the stack is still 10(min
of 10, 20, 30, 40)
Now let look at one example for min using auxiliary stack to imple... 阅读全帖 |
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b******y
发帖数: 168 | 5 第一问可能就需要递归。如果min max同号，不需要做。如果min max异号，max在min的
前面，直接从min的index生成新数组，递归。如果min在max前面，从min的index到max
找符合要求的vlaue，找到停，找不到从max的index生成新数组，。
第二问主要是找min max中间，没有就两头各生成一个新数组，做两个递归 |
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x*********n
发帖数: 28013 | 6 现在1519.
我给你intrinsic vlaue 1
我们赌1520 我上，你下。
50未必。
ok吗？ |
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n******1
发帖数: 4742 | 7 AK AA都应该是for vlaue， 应该不会是bluff |
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l**********t
发帖数: 5754 | 8
不要乱说, genetic algorithm depends on pseudo-random (in other words,
deterministic) generator and deterministic vlaue-function (what you perceive
as "optimal", an intelligent picker exogenous to the system) to guide the "
evolution" from
generation to generation, a perfect example to support my argument.
BTW, a computer model (genetic algorithm) is GIGO -- the outcome depends on
your assumptions/delief and your specification of the rules as you see fit
-- it has little to do with the "evolution"... 阅读全帖 |
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s*****n
发帖数: 2174 | 9 我没说p value 不 depend on X 啊.
如果有一族检验, p vlaue 可以看成一族检验中, 拒绝零假设的那个子集里面type 2 e
rror 的下确界.
可是那个子集是depend on X 的啊. 观测到不同的X, 那个子集就相应变化, 于是type
2 error 的下确界也随之变化, p value就变了啊.
on |
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m******3
发帖数: 62 | 10 我用SAS run
proc mixed data=mix method=reml noclprint;
class ID treatment;
model score=treatment treatment*time1 treatment*time2
/solution noint;
random intercept time1 time2/subject=id;
repeated/subject=id;
weight wgt;
run;
结果DF 为0， 无法得到p-vlaue. 那位大牛给s说说，问题在哪呢？
谢谢 |
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t*******t
发帖数: 633 | 11 http://en.wikipedia.org/wiki/Logrank_test
According to WIKI, the distribution of the test statistic is asymptotic
normal, which means it's symmetric, so the one sided p-vlaue=two sided p-
value/2. |
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i*********e
发帖数: 783 | 12 If I have a data: 1500 records: 50 records with the depenedent varialbe's
vlaue of 1.
In this condition, if I use spss, should I just select only 50 records with
the dependent varaible's value of 0 and put the other 50 records with the
dependent variable's value of 1 together.
SPSS has no function of K fold cross validation, as far as I know.
Thanks! |
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m***c
发帖数: 118 | 13 对不起LS.
我的问题很简单，概括的说，在有了系数(coefficients)后，如何score新data,如果是
numeric,很简单，直接带进行数据里，是categorical var就有些复杂，(1)
一个categorical var里所有level全部significant,那么也很简单，直接带进行数据里
，(2) 但如果categorical variable有部分level(s)不significant,要score一个新
data的时候，这些不significant level该取何值？
e.g.x1是categorical variable with a/b/c/d 4个levels,下面是fit model后的结果：
var estimates p-vlaue
x1 a 0.1 0.010
x1 b 0.7 0.034
x1 c 0.3 0.870
x1 d 0
x2 1.3 0.001
x4 0.08 0.002
....
现在我要SCORE一个新的data：
obs x1 x... 阅读全帖 |
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