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Luis A. Afonso
Posted: Fri Mar 09, 2007 6:32 am
Guest
They are Much more alike, and acceptable than

1) Your assertion that Hypotheses tests and Court Trials are the same thing
2) Your belief that the Null Hypotheses could be find that is really true (or the alternative one),
3) The belief that the null hypotheses are a true equality, not the statement that is not sufficient evidence the concerned parameters are different.

AND SO ON...



________licas (Luis A. Afonso)
Jack Tomsky
Posted: Fri Mar 09, 2007 7:44 am
Guest
Quote:
They are Much more alike, and acceptable than

1) Your assertion that Hypotheses tests and Court
Trials are the same thing
2) Your belief that the Null Hypotheses could be find
that is really true (or the alternative one),
3) The belief that the null hypotheses are a true
equality, not the statement that is not sufficient
evidence the concerned parameters are different.

AND SO ON...



________licas (Luis A. Afonso)


Confidence intervals and acceptance intervals are not alike. Please find any book on elementary statistics and read chapter one.

Jack
Luis A. Afonso
Posted: Fri Mar 09, 2007 11:57 pm
Guest
Only an absolute ignorant in the Hypotheses Test matter thinks the following


1) Your assertion that Hypotheses tests and Court Trials are the same thing,
2) Your belief that the Null Hypotheses could be find being really true (or the alternative one),
3) The belief that the null hypotheses are true equalities, not the statement that is not sufficient evidence the concerned parameters are different.

They are CONCEPTS not merely term generalizations, not a Byzantine *nickpick* but really just within the realm of the matter to which none is allowed to hesitate.

Note that in a) the persecutor’s identity switch, if detected, we prove H0, a *forbidden* situation in Hypotheses Test

Is surely on his matters Jack Tomsky should rethink urgently.

__________licas (Luis A. Afonso)
Jack Tomsky
Posted: Sat Mar 10, 2007 7:08 am
Guest
Quote:
Only an absolute ignorant in the Hypotheses Test
matter thinks the following


1) Your assertion that Hypotheses tests and Court
Trials are the same thing,
2) Your belief that the Null Hypotheses could be find
being really true (or the alternative one),
3) The belief that the null hypotheses are true
equalities, not the statement that is not sufficient
evidence the concerned parameters are different.

They are CONCEPTS not merely term generalizations,
not a Byzantine *nickpick* but really just within the
realm of the matter to which none is allowed to
hesitate.

Note that in a) the persecutor’s identity switch, if
detected, we prove H0, a *forbidden* situation in
Hypotheses Test

Is surely on his matters Jack Tomsky should rethink
urgently.

__________licas (Luis A. Afonso)



The thread title which you created is "Jarque-Bera test: confidence intervals for normal data". Where are the confidence intervals? You pulled a bait and switch. You listed a table of numbers which no one can use to calculate confidence intervals from a sample.

Jack
Luis A. Afonso
Posted: Sat Mar 10, 2007 8:21 am
Guest
You are stupid, even for a Biologist, Jack.

As I stressed before (at the FIRST post of this THREAD, Mars 7 ) the values I find out (by Monte Carlo simulation) are the 95% and 99% fractiles of the JB (Jarque -Bera) statistics. It allows testing the Hypothesis H0: is the sample from a normal Distribution, against H1 (Ha), the sample is no-normal.
If you had noted before JB is never negative because is a sum of squares (multiplied by constants) , consequently the CONFIDENCE INTERVALS are [0, fractile(1-alpha)], with the two levels of significance, alpha =0.05 and 0.01.

I’m answering to your comments, would you do the same of mine?

________licas (Luis A. Afonso)
Luis A. Afonso
Posted: Sat Mar 10, 2007 9:26 am
Guest
You are stupid, even for a Biologist, Jack.

As I stressed before (at the FIRST post of this THREAD, Mars 7) the values I find out (by Monte Carlo simulation) are the 95% and 99% fractiles of the JB (Jarque -Bera) statistics. It allows testing the Hypothesis H0: is the sample from a normal Distribution, against H1 (Ha), the sample is no-normal.
If you had noted before JB is never negative because is a sum of squares (multiplied by constants), consequently the CONFIDENCE INTERVALS are [0, fractile (1-alpha)], with the two levels of significance, alpha =0.05 and 0.01.

I’m answering to your comments, would you do the same of mine?

If you are so SURE of you are saying you should criticize openly, as you do for me, the authors of

1) Jarque - Bera Test and its Competitors for Testing Normality, Thorsten Thadewald and Herbert Buning (March 14, 2004),
2) Precise finite-sample quantiles of the Jarque-Bera adjusted Lagrange multiplier test, Diethelm Wurtz and Helmut G. Katzgraber (August 2005).

IS IT A DEAL? Let’s see how your guts are!!!!!!!

__________licas (Luis A. Afonso)
Jack Tomsky
Posted: Sat Mar 10, 2007 11:46 am
Guest
Luis A. Afonso
Posted: Sat Mar 10, 2007 1:15 pm
Guest
*** These are not confidence intervals because then every sample would have the same confidence interval. Jack ***
... and consequently, facing the Population of normal N(0,1) random samples of size n, you deny that is expected that 95% of the means are in the interval
______[- 1.960 / sqrt (n) , 1.960 / sqrt (n)]
Isn’t?


Facing the Wikipedia definition:

*** In statistics, a confidence interval (CI) for a population parameter is an interval between two numbers with an associated probability p which is generated from a random sample of an underlying population, such that if the sampling was repeated numerous times and the confidence interval recalculated from each sample according to the same method, a proportion p of the confidence intervals would contain the population parameter in question.***

What, IN SIMULATION terms, the algorithm is?
Is to synthesize a great number (2 millions) of n sized samples, to evaluate the test statistics (JB for example), to memorize its values and then from the empirical distribution to evaluate the fractiles. ALL FREQUENCIST STATICIANS (like me) are very comfortable with this procedure and since the middle of the 60´s to now there are millions of papers in this context.
Are you so *brave* to state that are all WRONG?
If so, fight them and let me in peace and quite , I am not even an *atom* in this CROWD. In fact I´m working for you: I did point out at least 4 teams that followed the procedure I used. : GO AND EAT THEM! If you are interested I´ll give you the names a full battalion, even an army !!!!!!!!!.

_________licas (Luis A. Afonso)
Jack Tomsky
Posted: Sat Mar 10, 2007 2:56 pm
Guest
Quote:
*** These are not confidence intervals because then
every sample would have the same confidence interval.
Jack ***
... and consequently, facing the Population of normal
N(0,1) random samples of size n, you deny that is
expected that 95% of the means are in the interval
______[- 1.960 / sqrt (n) , 1.960 / sqrt (n)]
Isn’t?





Under the Afonso Theory of Statistics, all confidence intervals are the same and are independent of the sample. Any information contained in the sample is ignored. Even your Wikipedia reference says that confidence intervals depend on the sample.

Similarly, under the Afonso Theory of Statistics, one is never allowed to accept the hypothesis that 8/13 is greater than 5/13.

Jack




Quote:
Facing the Wikipedia definition:

*** In statistics, a confidence interval (CI) for a
population parameter is an interval between two
numbers with an associated probability p which is
generated from a random sample of an underlying
population, such that if the sampling was repeated
numerous times and the confidence interval
recalculated from each sample according to the same
method, a proportion p of the confidence intervals
would contain the population parameter in
question.***

What, IN SIMULATION terms, the algorithm is?
Is to synthesize a great number (2 millions) of n
sized samples, to evaluate the test statistics (JB
for example), to memorize its values and then from
the empirical distribution to evaluate the fractiles.
ALL FREQUENCIST STATICIANS (like me) are very
comfortable with this procedure and since the middle
of the 60´s to now there are millions of papers in
this context.
Are you so *brave* to state that are all WRONG?
If so, fight them and let me in peace and quite , I
am not even an *atom* in this CROWD. In fact I´m
working for you: I did point out at least 4 teams
that followed the procedure I used. : GO AND EAT
THEM! If you are interested I´ll give you the names a
full battalion, even an army !!!!!!!!!.

_________licas (Luis A. Afonso)
Luis A. Afonso
Posted: Sat Mar 10, 2007 3:57 pm
Guest
I do hesitate to classify you:
_________a clown?
_________a madman?
(I discard the hypotheses he is stupid).

MEANWHILE
I have the reward to find out, and show it with pleasure to the Readers, that with a very poor tool (computer) and scarce programming skills, everyone can *replicate* results that are both *educative* and *exact*. As exact as that are the same we read on text-books and tables.

CONCLUSION
___*Tout le monde est en erreur sauf Jack Leon Tomsky*. What an odd thing!!!!!!!!

________licas (Luis A. Afonso)
Jack Tomsky
Posted: Sat Mar 10, 2007 5:36 pm
Guest
Quote:
I do hesitate to classify you:
_________a clown?
_________a madman?
(I discard the hypotheses he is stupid).

MEANWHILE
I have the reward to find out, and show it with
pleasure to the Readers, that with a very poor tool
(computer) and scarce programming skills, everyone
can *replicate* results that are both *educative* and
*exact*. As exact as that are the same we read on
text-books and tables.




There are no books in any language which give confidence intervals independent of the sample. I challenge you to find any book which does this.

Jack



Quote:

CONCLUSION
___*Tout le monde est en erreur sauf Jack Leon
Tomsky*. What an odd thing!!!!!!!!

________licas (Luis A. Afonso)
Luis A. Afonso
Posted: Sun Mar 11, 2007 1:07 am
Guest
Jack:

The critical (WRONG) idea NOT TO ADMIT that simulated samples are SAMPLES by its own right put you at a so PECULIAR situation that you are compelled to deny all the work that has been made since H. LILLIEFORS (1967) p to now..
I repeat
Put your comments and critics (you can use the title *Against the wrong way the scientists use to find critical values or simulated samples are not samples* and try to publish it, if you are sufficiently persuaded you are RIGHT.
I dare if it was a Referee’s team of a serious Journal to admit such a *trash*. Second time I invite you to do so.
(Prenez bien garde : Tout le monde est en erreur sauf moi, c´est un symptôme de folie, ou de GENIE).
YOU HAVE TO CHOOSE : OR YOU ARE A CRAZY OLD MAN OR YOU ARE SO GENIAL THAT YOU GO TO LEAD A REVOLUTION IN STATISTICS. (La choix est a vous).
MEANWHILE I appreciate you did not disturb my work with your PECULIAR idea , not accepted by statisticians, of what are genuine, truthful, samples and simulated, false, ones.
IS IT A DEAL?
_________licas (Luis A. Afonso)
Jack Tomsky
Posted: Sun Mar 11, 2007 4:14 am
Guest
Quote:
Jack:

The critical (WRONG) idea NOT TO ADMIT that simulated
samples are SAMPLES by its own right put you at a so
PECULIAR situation that you are compelled to deny all
the work that has been made since H. LILLIEFORS
(1967) p to now..
I repeat
Put your comments and critics (you can use the title
*Against the wrong way the scientists use to find
critical values or simulated samples are not samples*
and try to publish it, if you are sufficiently
persuaded you are RIGHT.
I dare if it was a Referee’s team of a serious
Journal to admit such a *trash*. Second time I invite
you to do so.
(Prenez bien garde : Tout le monde est en erreur sauf
moi, c´est un symptôme de folie, ou de GENIE).
YOU HAVE TO CHOOSE : OR YOU ARE A CRAZY OLD MAN OR
YOU ARE SO GENIAL THAT YOU GO TO LEAD A REVOLUTION IN
STATISTICS. (La choix est a vous).
MEANWHILE I appreciate you did not disturb my work
with your PECULIAR idea , not accepted by
statisticians, of what are genuine, truthful, samples
and simulated, false, ones.
IS IT A DEAL?
_________licas (Luis A. Afonso)


For years now, Wikipedia and I have been trying in vain to teach you about confidence intervals, hypothesis tests, and the difference between parameters and sample statistics. You still maintian that confidence intervals are independent of the sample, that the null hypothesis can never be accepted, and that we can never know if 8/13 > 5/13.

What is it about you that you're incapable of learning? I will continue to correct your errors in the forum until you get it right.

Jack
Luis A. Afonso
Posted: Sun Mar 11, 2007 6:12 am
Guest
Jack Tomsky
Posted: Sun Mar 11, 2007 6:55 am
Guest
 
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