Hi!
I have found the estimated mean and stadard deviation of the Laplacian
distribution using the maximum likelihood estimators. My question is, how
do I find the confidence interval of my estimated parameters (say 95%)??
Thanks..
CCC
In reviewing some not-yet-deleted email, I came across this one, and have
no record of its error(s) having been corrected.
On Sat, 29 Sep 2001, John Jackson wrote:
How do describe the data that does not reside in the area
described by the confidence interval?
For example, you have a two
Ronald Bloom wrote:
Jerry Dallal [EMAIL PROTECTED] wrote:
John Jackson wrote:
this is the second time I have seen this word used: frequentist?
Since Radford Neal has already given an excellent explanation,
let me add...
A roulette wheel comes up with a red number 10 times in a
At 02:16 AM 9/29/01 +, John Jackson wrote:
For any random inverval selected, there is a .05% probability that the
sample will NOT yield an interval that yields the parameter being estimated
and additonally such interval will not include any values in area
represented by the left tail. Can
Great explanation
dennis roberts [EMAIL PROTECTED] wrote in message
[EMAIL PROTECTED]">news:[EMAIL PROTECTED]...
At 02:16 AM 9/29/01 +, John Jackson wrote:
For any random inverval selected, there is a .05% probability that the
sample will NOT yield an interval that yields the
In article [EMAIL PROTECTED],
Radford Neal [EMAIL PROTECTED] wrote:
In article yyPs7.55095$[EMAIL PROTECTED],
John Jackson [EMAIL PROTECTED] wrote:
this is the second time I have seen this word used: frequentist? What does
it mean?
It's the philosophy of statistics that holds that probability
Dennis Roberts wrote:
At 01:23 AM 9/28/01 +, Radford Neal wrote:
radford makes a nice quick summary of the basic differences between
bayesian and frequentist positions, which is helpful. these distinctions
are important IF one is seriously studying statistical ideas
personally, i
In article [EMAIL PROTECTED],
David Heiser [EMAIL PROTECTED] wrote:
-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED]]On Behalf Of Gordon D. Pusch
Sent: Thursday, September 27, 2001 7:33 PM
To: [EMAIL PROTECTED]
Subject: Re: What is a confidence interval?
John
Jerry Dallal [EMAIL PROTECTED] wrote:
John Jackson wrote:
this is the second time I have seen this word used: frequentist?
Since Radford Neal has already given an excellent explanation,
let me add...
A roulette wheel comes up with a red number 10 times in a row. When
deciding how to
At 01:23 AM 9/28/01 +, Radford Neal wrote:
radford makes a nice quick summary of the basic differences between
bayesian and frequentist positions, which is helpful. these distinctions
are important IF one is seriously studying statistical ideas
personally, i think that trying to make
John Jackson wrote:
this is the second time I have seen this word used: frequentist?
Since Radford Neal has already given an excellent explanation,
let me add...
A roulette wheel comes up with a red number 10 times in a row. When
deciding how to place his/her next bet...
The person on the
At 07:33 AM 9/27/01 -0700, Warren wrote:
Now, we take our sample mean and s.d. and we compute a CI. We know
we can't say anything about a probability for this single CI...it
either
contains the mean or it doesn't. So, what DOES a CI tell us? Does it
really give you a range of values where
(Warren) wrote in message:
So, what is your best way to explain a CI? How do you explain it
without using some esoteric discussion of probability?
I prefer to focus on the reliability of the estimate and say it is:
A range of values for an estimate that reflect its unreliability and
which
Dennis Roberts wrote:
in the case of CIs ... no, you are not sure at all that the range you got
in your CI encompasses the parameter but, what are the odds that it does
NOT? generally, fairly small.
You're slipping into Bayesian territory... I would say the answer
to your question is, It
In article yyPs7.55095$[EMAIL PROTECTED],
John Jackson [EMAIL PROTECTED] wrote:
this is the second time I have seen this word used: frequentist? What does
it mean?
It's the philosophy of statistics that holds that probability can
meaningfully be applied only to repeatable phenomena, and that
John Jackson [EMAIL PROTECTED] writes:
this is the second time I have seen this word used: frequentist?
What does it mean?
``Frequentist'' is the term used by Bayesians to describe partisans of
Fisher et al's revisionist edict that ``probability'' shall be declared
to be semantically
-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED]]On Behalf Of Gordon D. Pusch
Sent: Thursday, September 27, 2001 7:33 PM
To: [EMAIL PROTECTED]
Subject: Re: What is a confidence interval?
John Jackson [EMAIL PROTECTED] writes:
this is the second time I have seen
Hi,
I've been teaching an introductory stats course for several years.
I always learn something from my students...hope they learn too.
One thing I've learned is that confidence intervals are very tough
for them. They can compute them, but why?
Of course, we talk about confidence interval
as a start, you could relate everyday examples where the notion of CI seems
to make sense
A. you observe a friend in terms of his/her lateness when planning to meet
you somewhere ... over time, you take 'samples' of late values ... in a
sense you have means ... and then you form a rubric like
Dennis:
Example A is a mistaken interpretation of a confidence interval for a mean.
Unfortunately, this is is a very common misinterpretation.
What you have described in Example A is a _prediction_ interval for
an individual observation. Prediction intervals rarely get taught except
(maybe
intervals are very tough
for them. They can compute them, but why?
Of course, we talk about confidence interval construction and I try
to explain the usual 95% of all intervals so constructed will in the
long run include the parameter...blah, blah. I've looked at the
Bayesian
observation. But a confidence interval is NOT a probability
statement concerning the unknown parameter. In the frequentist
statistical framework in which confidence intervals exists,
probability statements about unknown parameters are not considered to
be meaningful.
Radford Neal
% of the time?
These examples are NOT analogous to confidence intervals. In both
examples, a distribution of values is inferred from a sample, and
based on this distribution, a PROBABILITY statement is made concerning
a future observation. But a confidence interval is NOT a probability
statement
values (use table
from #1 in reverse)
At 05:28 AM 10/22/99 -0200, Alexandre Moura wrote:
Dear members,
how can I construct a confidence interval for a Pearson correlation?
Thanks in advance.
Alexandre Moura.
=
Instructions
of the CI in Fisher Z units back to r values (use table
from #1 in reverse)
At 05:28 AM 10/22/99 -0200, Alexandre Moura wrote:
how can I construct a confidence interval for a Pearson correlation?
Thanks in advance.
Alexandre Moura
Dear Members,
How can I construct a confidence interval about Pearson correlation using
standard error and t value? What is the formula?
Regards,
Alexandre Moura.
=
Instructions for joining and leaving this list and remarks
construct a confidence interval about Pearson correlation using
standard error and t value? What is the formula?
Regards,
Alexandre Moura.
=
Instructions for joining and leaving this list and remarks about
the problem of INAPPROPRIATE
Hi stalisters
is there anybody could give references to read something about
the method to estimate confidence interval using fisher excat
method?
thank you very much for any suggestion
massimo tranquillo
distributed, we may calculate the mean of the sample, and use facts about
the Central Limit Theorem, to form a 95% confidence interval for the
population mean. As far as I know, this means that in 95/100 samples, the
interval will contain the true population mean. This seems very useful at
first
specification of the amount
of skewing.
On the other hand, the small sample theory for order
statistics from a continuous distribution is not at all
difficult; this is a standard exercise in beginning
theoretical courses. A good classical confidence interval
for the median would just be the interval
Radford Neal wrote:
In article [EMAIL PROTECTED],
James Ankeny [EMAIL PROTECTED] wrote:
... if the distribution is
heavily skewed to the right, say like income, why do we want an interval for
the population mean, when we are taught that the median is a better measure
of central
no difference if the upper 49% of the
incomes were doubled, leaving the median unchanged.
Alan Hutson [EMAIL PROTECTED] wrote:
Yes, the median may not change, but the confidence interval and/or
the variance estimate for the median will reflect the fact that
something is different in the upper
the Central Limit Theorem, to form a 95% confidence interval for the
population mean. As far as I know, this means that in 95/100 samples, the
interval will contain the true population mean. This seems very useful at
first, but then something begins to confuse me. Yes, we have an interval
that may
of the sample, and use facts about
the Central Limit Theorem, to form a 95% confidence interval for the
population mean. As far as I know, this means that in 95/100 samples, the
interval will contain the true population mean. This seems very useful at
first, but then something begins to confuse me. Yes
here are a bit of data from minitab ... that you might want to consider
MTB rand 1000 c1-c25; i generated 1000 samples that will be n=25 ...
SUBC chis 4. from a chisquare distribution with 4 degrees of freedom ...
MTB rmean c1-c25, c26 i put the MEAN for each row (sample mean) in c26
MTB
, bad game protection, etc..
The data I have is for each day, I have the calculated hold percentage for
each of the individual table games. There are multiple table games of each
type, for example there are 7 blackjack tables.
Q: I want to calculate the standard deviation and confidenc
Mark Solberg [EMAIL PROTECTED] wrote:
I've had some statistics coursework, probably just enough to be dangerous.
Here's my problem. By the way this is an actual problem, not theoretical.
I need to analyze the hold percentage on certain table games in the casino I
work at.
I should think that
San wrote:
When we analyze data which we ought to know whether the difference of
mean between two populations isn't equal to zero, which method will
generally be better? hypothesis or confidence interval?
Confidence interval
Hi,
I am looking at the following problem: I have one observation X
from a Poisson with rate mu+lambda and a second observation Y from a
Poisson rate lambda. I need to find a confidence interval for mu alone.
The obvious estimator for mu is of course X-Y, which has mean mu, but
whose
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