- Original Message -
From: P.G.Hamer <[EMAIL PROTECTED]>
To: <[EMAIL PROTECTED]>
Sent: Thursday, August 17, 2000 2:40 AM
Subject: Re: likelihood
> David A. Heiser wrote:
>
> > I am going to reference Fisher as his views later on in life in the 1973
3rd
> > edition of "Statistical
> > Me
Interesting, perhaps, but horrendously undependable and possibly bogus.
I checked out several academic job categories for my location and found
the reported 25th-, 50th-, and 75th-percentile salaries to be of by HUGE
amounts.
I tried to click on "About Us," "Contact Us," and "Site Feedback" a
- Original Message -
From: Li0N_iN_0iL <[EMAIL PROTECTED]>
To: <[EMAIL PROTECTED]>
Sent: Thursday, August 17, 2000 5:51 PM
Subject: Re: likelihood
> David A. Heiser wrote:
>
> >>>Second, one needs to read Fisher's insight into Bayes original work to
> >>>understand Fisher's view of prob
Hi Dennis:
I am trying out some Monte Carlo simulations to model performance ratings.
Being able to specify the variance is one of the constraints.
Regards,
Chris
At 02:15 PM 8/18/00 -0400, you wrote:
>At 02:01 PM 8/18/00 -0400, Chris Chiu wrote:
>>Dear colleagues:
>>
>>Restated Objective: T
At 02:01 PM 8/18/00 -0400, Chris Chiu wrote:
>Dear colleagues:
>
>Restated Objective: To generate random numbers with a specified mean and
>variance so that the numbers fall between 1 and 6.
any numbers or only discrete integers?
perhaps you could discuss a bit why you need this ... or want thi
Dear colleagues:
I received many responses to my inquiry. Thank you for the constructive
feedback.
I didn't specify what it meant by "pseudo" normal or approximately normal
because, as some of us pointed out, it is impossible to have a standard
normal distribution in some cases where the vari
http://www.salary.com/
interesting site
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Hi,
I don't know R, but once you know how to compute each effect and its
significance you should be able to make an Excel sheet in less than 1 hour,
plus 1 hour to check if the results of the calculations agree with examples
found in textbooks.
I've done some 2^n factorial design analysis using e
[EMAIL PROTECTED] (dennis roberts) writes:
> in minitab, you can create a discrete distribution ... say ... numbers from
> 1 to 10 ... and then assign p values (adding to 1 of course) to each ...
> and THEN sample from that population distribution ...
The problem is, Chiu has =NOT= specified t
Dear Chris:
For some purposes you can get a close-enough-to-normal from the number
of heads in 4 tosses of a fair coin. This distribution (binomial with n=4
and p=.5) takes on 5 values, has mean 2, and SD = 1. If you take X =
(# Heads -2), you have a discrete distribution with mean 0, vari
in minitab, you can create a discrete distribution ... say ... numbers from
1 to 10 ... and then assign p values (adding to 1 of course) to each ...
and THEN sample from that population distribution ...
At 11:33 PM 8/17/00 -0500, Gordon D. Pusch wrote:
>Your big problem will be deciding how to
Olivier,
I think you pdf is wrong.
H, the cdf of y (as defined above) should be 1 above L and H=F below L.
Therefore, I think
H(y)=F(y)II(y<=L)+(1-F(L))II(y>L)
is the right function
Regads
Robert
> Let T1,...,Tn iid with p.d.f. f(.;eta) and c.d.f. F(.;eta).
> Assume the data are singly
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[EMAIL PROTECTED] (Chris Chiu) writes:
> Does anyone happen to know of a way to generate integers that have a normal
> distribution or a distribution close to a normal distribution?
>
> I am trying to generate some whole-numbers with a given range, mean, and
> standard deviation. For example, I
Hi
I have a data whose histogram has a unique distribution exhibited by it. I
am trying to fit different curves to the data and to see which one has the
best fit. The first one I am trying is gamma, i got my optimum alpha and
beta values. And then simply fed my data (x values) into the gamma
dist
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