I-Min Lee and colleagues at Brigham and Women's Hospital in Boston studied data from 34,000 women, whose average age was 54.
VOA: standard.2010.03.30
But it was still interesting to watch and to see unfold So, now I had this picture of real-live data of a real-life city operating in front of me.
但是看着这些事物一点点展开非常有趣,现在我得到了现实的城市里,现实生活的数据就在我面前运转。
In fact to write a run those same experience-- those same experiments now with the even greater volume of data computers are now producing I'd probably have terabytes worth of data and at that point things just would have broken.
事实上-,目前使用大量数据的相同实验中,计算机会产生,兆兆字节的数据,那时,一切都有可能遭到破坏。
I did it myself using my data, but it would always look more or less like this-- slightly different positions if people use different estimates.
这幅图是我根据自己的数据画出来的,有效边界的图形大致就是如此-,随着人们采用不同的估计值,其位置会发生微小的变化。
This is--I'm showing here U.S. data, but Siegel also argues in the latest edition that the equity premium is also high for advanced countries over the whole world.
这就是。。。我在这展示的是美国的数据,但是西格尔在他最新出版的书中讨论道,在世界范围内许多发达国家的,股票溢价同样很高。
You can see the different points-- I've calculated this using data from 1983 until 2006-- and I computed all of the inputs to those equations that we just saw.
你可以观察不同的点-,我用从1983年到2006年的数据-,代入我们刚教授的等式,进行了计算。
If you look at the Frank Russell data and I just cited ten-year returns ending June 30,2005, so that period started in 1996 -well,in 1996 there were 307 managers that reported returns.
看看罗素公司的数据,我引用了从1996年开始,截至2005年6月30日的十年收益,在1996年有307位经理人公布收益
And so very often I would find myself with gigabytes worth of data, at night I needed to analyze this data and look for this patterns and frankly the reality was sometimes I could spend 10-15 minutes whipping up a little script, a little program that unfortunately would take eight hours or more to run.
我经常会发现十亿字节的数据,晚上我就需要分析这些数据并,找出模型,坦白说,有时,我会花10-15分钟来编写一个小脚本,一个小程序,但不幸的是,运行它可能需要8个小时或更多时间。
They might say my sample period was off, ... but that's what the theory-- ... using my data for the sample period that I computed-- the expected returns and co-variances says one should do.
他们可能说我的采样周期是有问题的,不过我的结果都是靠理论-,我采用自己收集的数据计算出-,预期收益和协方差可以用来指导我们的投资行为。
I don't have the latest data -this is from 1998 -but there were 11,000 credit unions -that's the number of credit unions in the United States in 1998 -and there were only 9,000 commercial banks; that's the number of banks.
我手上没有最新的数据,这个是1998年的,共有11000个信用合作社,这是1998年全美信用合作社的数量,与此同时,商业银行只有9000家,这是银行的数量
I don't find that my analysis is profound in the final answer, I just took some estimates using my data and, again, we could-- if someone wanted to argue with us they could argue with my estimates of the expected returns of the standard deviations and the covariances, but not with this theory.
我在计算过程中并没有做太深入的分析,我只是用我的数据做了一下大概的估计,我再说一次,我们可以-,如果有人想就这个问题与我们争辩,他们可以争论我对期望收益的估计,或是争论标准差和协方差的估计值,但并不会针对理论本身。
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