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Science Forum Index » Statistics - Math Forum » H0: 5/13 <= 8/13...
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| Luis A. Afonso... |
Posted: Sat Jul 12, 2008 8:34 am |
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Clarifying a Jack Tomsky’s remark
By the 100th time, the last on Jul 12, 12:59 pm, the IMBECILE Jack Tomsky fund fun in an equation I posted much time ago, namely
H0: 5/13 <= 8/13 (alpha = 5%)
Ha: 5/13 > 8/13
Saying that (oh surprise!!!) that it was absolutely true and that it need not be submitted to test repeating what other IMBECILE (Reef Fish = Bob Ling) said yet.
Typically, out of context he firstly erased the (5%), then he did not inform he Readers that the problem concerns the difference on two Binomial Proportions, the equation above was a symbolic one, the symbol x/n meaning explicitly x successes observed in n trials, finally he * forgot * that it was the result of I applied the exact Clopper - Pearson intervals: ONE MORE EXAMPLE WHAT Jack Tomsky unethical way to behave.
I naively introduced the above notation , I had the care to explain its meaning, supposing that was directing to European academic people that do not use such SCARFACE methods Jack is so proud.
By my surprise the mockery grows and grows intending to defame me and trying to totally discourage my further collaboration at Sci. Stat. Math.
Given X~Bin(x, pX=5/13). Y~Bin(y, pY= 8/13) , the probability that x/13 - y/13 > 0 is equal to 0.0806639457972. The procedure consists to try all pairs x = 0, 1, 2, …, n and y = 0, 1, 2,…, m and adding the probabilities such that x/ n - y/ m >0.
Decision one has not sufficient evidence that pX<= pY.
However if Y~Bin(y, 9/13) one get p=0.03385 < 0.05 and can be stated that pX<= pY.
Other example
X~Bin(x, pX=50/130). Y~Bin(y, pY= 80/130) the confidence level for pX<= pY is so large as 0.99993798 and we FAIL TO REJECT H0.
In what concerns Jack Tomsky these episodes say clearly just his ethical ground and way to behave. Tough it was in Europe and uses this behavior he swiftly was concerned what the Academia reaction was: HERE SCARFACES NOT ADDMITANCE.
Luis Amaral Afonso
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| Jack Tomsky... |
Posted: Sat Jul 12, 2008 9:01 am |
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Quote: Clarifying a Jack Tomsky’s remark
By the 100th time, the last on Jul 12, 12:59 pm,
the IMBECILE Jack Tomsky fund fun in an equation I
posted much time ago, namely
H0: 5/13 <= 8/13 (alpha = 5%)
Ha: 5/13 > 8/13
Saying that (oh surprise!!!) that it was absolutely
true and that it need not be submitted to test
repeating what other IMBECILE (Reef Fish = Bob Ling)
said yet.
Typically, out of context he firstly erased the (5%),
then he did not inform he Readers that the problem
concerns the difference on two Binomial Proportions,
the equation above was a symbolic one, the symbol x/n
meaning explicitly x successes observed in n trials,
finally he * forgot * that it was the result of I
applied the exact Clopper - Pearson intervals: ONE
MORE EXAMPLE WHAT Jack Tomsky unethical way to
behave.
I naively introduced the above notation , I had the
care to explain its meaning, supposing that was
directing to European academic people that do not use
such SCARFACE methods Jack is so proud.
By my surprise the mockery grows and grows intending
to defame me and trying to totally discourage my
further collaboration at Sci. Stat. Math.
Given X~Bin(x, pX=5/13). Y~Bin(y, pY= 8/13) , the
probability that x/13 - y/13 > 0 is equal to
0.0806639457972. The procedure consists to try all
pairs x = 0, 1, 2, …, n and y = 0, 1, 2,…, m and
adding the probabilities such that x/ n - y/ m >0.
Decision one has not sufficient evidence that pX<=
pY.
However if Y~Bin(y, 9/13) one get p=0.03385 < 0.05
and can be stated that pX<= pY.
Other example
X~Bin(x, pX=50/130). Y~Bin(y, pY= 80/130) the
confidence level for pX<= pY is so large as
0.99993798 and we FAIL TO REJECT H0.
Since pX is assumed to be known as 50/130 and pY is assumed to be known as 80/130, the confidence level on the point pX = 50/130 and pY = 80/130 is automatically 100%.
Quote: In what concerns Jack Tomsky these episodes say
clearly just his ethical ground and way to behave.
Tough it was in Europe and uses this behavior he
swiftly was concerned what the Academia reaction was:
HERE SCARFACES NOT ADDMITANCE.
Luis Amaral Afonso
Luis Amaral Afonso, in self-mockery, has expressed hypotheses, not in terms of subsets of the parameter space, but in terms of sample statistics. His null hypothesis H0: 5/13 <= 8/13 is always true and must be accepted for all significance levels.
The most powerful test is to accept H0: 5/13 <= 8/13 if and only if 5/13 <= 8/13. The fact that 5/13 <= 8/13 follows from the trichotomy property of ordered algebraic fields.
Afonso some time ago demanded that a moderator be appointed for the list to correct technical errors. Several people nominated me and I accepted the position as a volunteer. This has become a full-time job since Afonso's posts provide a never-ending source of material.
Jack (moderator) |
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| Luis A. Afonso... |
Posted: Sat Jul 12, 2008 10:16 am |
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Luis Amaral Afonso, in self-mockery, has expressed hypotheses, not in terms of subsets of the parameter space, but in terms of sample statistics. His null hypothesis H0: 5/13 <= 8/13 is always true and must be accepted for all significance levelsThe most powerful test is to accept H0: 5/13 <= 8/13 if and only if 5/13 <= 8/13. The fact that 5/13 <= 8/13 follows from the trichotomy property of ordered algebraic fields. Afonso some time ago demanded that a moderator be appointed for the list to correct technical errors. Several people nominated me and I accepted the position as a volunteer. This has become a full-time job since Afonso's posts provide a never-ending source of material. Jack (moderator).
My COMMENT
__1__Those that claim ***5/13 <= 8/13*** ARE SUPERMOST OPAQUE. I had yet said that is a conventional way, I found, to write the Null Hypotheses.
__2__Jack Tomsky (similarly to other points: he, in his paranoia, states that R. A. Fisher is wrong, however giving not the reasons, in not accept the Null Hypotheses!!!) knows anything relative to this point THE CLOPPER- PEARSON CONFIDENCE INTERVALS, that , I, simply and directly applied to the difference between two Binomial proportions.
__3__A point he met the first time, thanks to me, is the Dvoretzky -Kiefer-Wolfowitz (called * simply * the Fundamental Theorem of Statistics) which allow us , since 60 years ago, have a basis to check what distance exists between a theoretical and a simulate distribution. The importance is so big that one can get the critical values of any r.v. since we are able to simulate the data. HE CLAIMS, IN HIS IGNORANT FOOLISNESS, THAT THIS PROCEDURE IS ILLEGAL because no real data is really present!!!
That is, from a celebrate fight with R. A. Fisher felt winner, from Clopper and Pearso too, finally from the multitude of tests issued from Monte Carlo simulations (the older one from Herbert Lilliefors, Lilliefors Test) he states they are worthless.
__4__Who appointed Jack Tomsky? When the elction take place? Why the Readers had not be notified? How many candidates were? I SURELY DID NOT WILL GIVE MY VOTE, and I think that many Readers will not too.
__0__I claim to be published the names (real, not pen or nick)of those sustaining a CLOWN like this one!
Luis Amaral Afonso [The moderator destroyer] |
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| Jack Tomsky... |
Posted: Sat Jul 12, 2008 10:35 am |
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Quote: Luis Amaral Afonso, in self-mockery, has expressed
hypotheses, not in terms of subsets of the parameter
space, but in terms of sample statistics. His null
hypothesis H0: 5/13 <= 8/13 is always true and must
be accepted for all significance levelsThe most
powerful test is to accept H0: 5/13 <= 8/13 if and
only if 5/13 <= 8/13. The fact that 5/13 <= 8/13
follows from the trichotomy property of ordered
algebraic fields. Afonso some time ago demanded that
a moderator be appointed for the list to correct
technical errors. Several people nominated me and I
accepted the position as a volunteer. This has become
a full-time job since Afonso's posts provide a
never-ending source of material. Jack (moderator).
My COMMENT
__1__Those that claim ***5/13 <= 8/13*** ARE
SUPERMOST OPAQUE. I had yet said that is a
conventional way, I found, to write the Null
Hypotheses.
Using conventional mathematics, the null hypothesis
H: 5/13 <= 8/13 is always true and must be accepted.
Quote: __2__Jack Tomsky (similarly to other points: he, in
his paranoia, states that R. A. Fisher is wrong,
however giving not the reasons, in not accept the
Null Hypotheses!!!) knows anything relative to this
point THE CLOPPER- PEARSON CONFIDENCE INTERVALS, that
, I, simply and directly applied to the difference
between two Binomial proportions.
Fisher's approach was for tests of significance in which there was no alternative hypothesis. These results were reported in terms of a p-value. This is different from the Neyman-Pearson framework of hypothesis testing, where there is a null and alternative hypothesis, either of which can be accepted.
Quote: __3__A point he met the first time, thanks to me, is
the Dvoretzky -Kiefer-Wolfowitz (called * simply *
the Fundamental Theorem of Statistics) which allow us
, since 60 years ago, have a basis to check what
distance exists between a theoretical and a simulate
distribution. The importance is so big that one can
get the critical values of any r.v. since we are able
to simulate the data. HE CLAIMS, IN HIS IGNORANT
FOOLISNESS, THAT THIS PROCEDURE IS ILLEGAL because no
real data is really present!!!
Afonso is wrong. The Dvoretzky-Kiefer-Wolfowitz inequality is simply a mathematical upper bound. It does not depend on a sample.
Quote: That is, from a celebrate fight with R. A. Fisher
felt winner, from Clopper and Pearso too, finally
from the multitude of tests issued from Monte Carlo
simulations (the older one from Herbert Lilliefors,
Lilliefors Test) he states they are worthless.
Afonso repeatedly defamed Lielliefors by falsely accusing him of constructing confidence intervals. This shows that he never understood Hubert's work. And that's his favorite paper in the literature.
Quote: __4__Who appointed Jack Tomsky? When the elction
n take place? Why the Readers had not be notified?
How many candidates were? I SURELY DID NOT WILL GIVE
MY VOTE, and I think that many Readers will not too.
Quote: __0__I claim to be published the names (real, not pen
or nick)of those sustaining a CLOWN like this one!
Instead of thanking me for the long hours I have put in correcting Afonso's errors, he shows a lack of gratitude. More importantly, he has learned nothing.
Jack (moderator) |
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| Luis A. Afonso... |
Posted: Sat Jul 12, 2008 11:43 am |
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*** Afonso repeatedly defamed Lielliefors by falsely accusing him of constructing confidence intervals. This shows that he never understood Hubert's work. And that's his favorite paper in the literature.***
__1__I do not defame anybody: but I’m always available to point out their IMBECILITIES. Proof? It is necessary to teach ignorant people that the Quantiles H. Lilliefors (attention, the name is exactly as I’m writing) found by simulation, had the objective to find the bounds of the rejection region of the exact Test Distribution. Lazy, ignorant and sloppy educated people, like Jack Tomsky, that is * virgin * concerning up-to-date in this matters use Kolmogorov - Smirnov bounds even in the case the Population mean and standard deviation are estimated from the sample under test.
__2__Considering I was said above I’ve true and exact notion what Herbert did: he opens a completely new way to answer REAL PROBLEMS that theory is unable to answer till now.
Luis Amaral Afonso [The moderator destroyer] |
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| Jack Tomsky... |
Posted: Sat Jul 12, 2008 11:52 am |
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Quote: *** Afonso repeatedly defamed Lielliefors by falsely
accusing him of constructing confidence intervals.
This shows that he never understood Hubert's work.
And that's his favorite paper in the literature.***
__1__I do not defame anybody: but I’m always
available to point out their IMBECILITIES. Proof? It
is necessary to teach ignorant people that the
Quantiles H. Lilliefors (attention, the name is
exactly as I’m writing) found by simulation, had the
objective to find the bounds of the rejection region
of the exact Test Distribution. Lazy, ignorant and
sloppy educated people, like Jack Tomsky, that is *
virgin * concerning up-to-date in this matters use
Kolmogorov - Smirnov bounds even in the case the
Population mean and standard deviation are estimated
from the sample under test.
__2__Considering I was said above I’ve true and exact
notion what Herbert did: he opens a completely new
way to answer REAL PROBLEMS that theory is unable to
answer till now.
Luis Amaral Afonso [The moderator destroyer]
This is how on March 26, 2007, Afonso misrepresented the Lielliefors tables as "confidence intervals".
"Re: how to get confidence interval from Monte Carlo simulations?
I´m full aware (after Bob Anon) that I contribute to
te OP´s question.
Yes, Confidence Interval can be obtained throughout
the empirical distribution. And this can be got by
samplesimulaion.
They had been so long ago (since at least 1967 by
Herbert Lilliefors).
I, myself, posted same of them concerning the means
of [0, 1] Uniform Population samples..
Jack Tomsky and OMU, two of the three W.C. (Wise
Comrades), as usual, made not any contribution on
contrary they try to confuse people (intentionally or
by ignorance) by stating it was impossible.
______licas (Luis A. Afonso)"
Jack (moderator) |
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| licas_ at (no spam) hotmail.com... |
Posted: Sat Jul 12, 2008 11:55 am |
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On 12 Jul, 20:01, Jack Tomsky <jtom... at (no spam) ix.netcom.com> wrote:
Quote: Clarifying a Jack Tomsky’s remark
By the 100th time, the last on Jul 12, 12:59 pm,
the IMBECILE Jack Tomsky fund fun in an equation I
posted much time ago, namely
H0: 5/13 <= 8/13 (alpha = 5%)
Ha: 5/13 > 8/13
Saying that (oh surprise!!!) that it was absolutely
true and that it need not be submitted to test
repeating what other IMBECILE (Reef Fish = Bob Ling)
said yet.
Typically, out of context he firstly erased the (5%),
then he did not inform he Readers that the problem
concerns the difference on two Binomial Proportions,
the equation above was a symbolic one, the symbol x/n
meaning explicitly x successes observed in n trials,
finally he * forgot * that it was the result of I
applied the exact Clopper - Pearson intervals: ONE
MORE EXAMPLE WHAT Jack Tomsky unethical way to
behave.
I naively introduced the above notation , I had the
care to explain its meaning, supposing that was
directing to European academic people that do not use
such SCARFACE methods Jack is so proud.
By my surprise the mockery grows and grows intending
to defame me and trying to totally discourage my
further collaboration at Sci. Stat. Math.
Given X~Bin(x, pX=5/13). Y~Bin(y, pY= 8/13) , the
probability that x/13 - y/13 > 0 is equal to
0.0806639457972. The procedure consists to try all
pairs x = 0, 1, 2, …, n and y = 0, 1, 2,…, m and
adding the probabilities such that x/ n - y/ m >0.
Decision one has not sufficient evidence that pX<> > pY.
However if Y~Bin(y, 9/13) one get p=0.03385 < 0.05
and can be stated that pX<= pY.
Other example
X~Bin(x, pX=50/130). Y~Bin(y, pY= 80/130) the
confidence level for pX<= pY is so large as
0.99993798 and we FAIL TO REJECT H0.
Since pX is assumed to be known as 50/130 and pY is assumed to be known as 80/130, the confidence level on the point pX = 50/130 and pY = 80/130 is automatically 100%.
In what concerns Jack Tomsky these episodes say
clearly just his ethical ground and way to behave.
Tough it was in Europe and uses this behavior he
swiftly was concerned what the Academia reaction was:
HERE SCARFACES NOT ADDMITANCE.
Luis Amaral Afonso
Luis Amaral Afonso, in self-mockery, has expressed hypotheses, not in terms of subsets of the parameter space, but in terms of sample statistics. His null hypothesis H0: 5/13 <= 8/13 is always true and must be accepted for all significance levels.
The most powerful test is to accept H0: 5/13 <= 8/13 if and only if 5/13 <= 8/13. The fact that 5/13 <= 8/13 follows from the trichotomy property of ordered algebraic fields.
Afonso some time ago demanded that a moderator be appointed for the list to correct technical errors. Several people nominated me and I accepted the position as a volunteer. This has become a full-time job since Afonso's posts provide a never-ending source of material.
Jack (moderator)- Ocultar texto citado -
- Mostrar texto citado -
My response
If you are unable to understand what I mean
please ask for Mam and Dad to give you a new little brother : he can
be a little smart you are.
Luis Amaral Afonso [the moderator destroyer] |
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| Jack Tomsky... |
Posted: Sat Jul 12, 2008 12:24 pm |
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Quote:
My response
If you are unable to understand what I mean
please ask for Mam and Dad to give you a new little
brother : he can
be a little smart you are.
Luis Amaral Afonso [the moderator destroyer]
Afonso has a prejudice against anyone who has ever had an association with Stanford University. On April 29, after Professor Herman Rubin corrected him about his misinterpretation of the Lilliefors normality test, Afonso believed that he knew more about statistics than Herman. He also believes that his English is better.
Re: Lilliefors Test : 40 years
Posted: Apr 29, 2008 5:30 PM
Herman Rubn wrote quoting me
*** The Lillieforss Test has critical values that are 2/3 (approximately) shorter than he K-S ones. In consequence using the latter ones the confidence intervals are INCORRECTLY LARGER than they should be, fail to reject H0 (when we REALY should do so) is MUCH MORE PROBABLE than what the chosen K-S ALPHA VALUE seems to indicate.***
READING THIS START any rational being expected that Herman´s response will report the comparison of conclusions concerning the use of each tests: one sample K-S and Lilliefors.
However I was found nothing at all relative to this crucial point: H. Rubin change the point (once more Academic American escape, acronym AAE) and introduce a note about confidence limits of parameters in a *** gof (Goodness of Fit) *** TEST ?!. AMAZING, ABSOLUTELY AMAZING!
It seems he IGNORES that prior to perform a Lilliefors´s (had him really made even one, I dare?) the parameters, m and s, (estimated from the sample X) have to be used in order to reduce data to a N(0,1) data, more exactly Z = (X-m)/s.
Is Herman a son of CANNED SOFTWARE (trash in, trash out).? I think so.
The remainder is an incoherent (in very bad English) mixing of other test including the sentence worthing to be highlighted because it?s a source of brilliant new discoveries in Statistics, I ask him to reproduce here::
*** A test generally should not be used to test what it is
not intended to test ***
Luis Amaral Afonso (The
Jack (moderator) |
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| Luis A. Afonso... |
Posted: Sun Jul 13, 2008 4:12 am |
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WORMTOMSKY SAID:
Herman Rubn wrote quoting me
*** The Lillieforss Test has critical values that are 2/3 (approximately) shorter than he K-S ones. In consequence using the latter ones the confidence intervals are INCORRECTLY LARGER than they should be, fail to reject H0 (when we REALY should do so) is MUCH MORE PROBABLE than what the chosen K-S ALPHA VALUE seems to indicate.***
My reply
READING THIS START any rational being expected that Herman´s response will report the comparison of conclusions concerning the use of each tests: one sample K-S and Lilliefors. However I was found nothing at all relative to this crucial point: H. Rubin change the point (once more Academic American escape, acronym AAE) and introduce a note about confidence limits of parameters in a *** gof (Goodness of Fit) *** TEST ?!.
AMAZING, ABSOLUTELY AMAZING!
It seems he IGNORES that prior to perform a Lilliefors´s (had him really made even one, I dare?) the parameters, m and s, (estimated from the sample X) have to be used in order to reduce data to a N(0,1) data, more exactly Z = (X-m)/s. Is Herman a son of CANNED SOFTWARE (trash in, trash out).? I think so.
The remainder is an incoherent (in very bad English) mixing of other test including the sentence worthing to be highlighted because it?s a source of brilliant new discoveries in Statistics, I ask him to reproduce here:: *** A test generally should not be used to test what it is not intended to test
*************************
I HAD NOT TO ADD TO MY COMMENTS, INCLUDING my reaction to THIS LAST PRENOSTIC Rubin´s statement,
However it should be noted that
_____Ronald A. Fisher
_____Herman Rubi
_____Luis Amaral Afonso
ARE CLEAR IN THAT THE CORRECT STATEMENT WHEN THE TEST FALLS IN THE SO-CALLED ACCEPTANCE REGION IS:
___there is not sufficient evidence to reject the Null Hypotheses_____________________
Wormtomsky had other interpretation, it is a ONE MAN ONE so no trouble at all unless for those that believes that really a Null Hypotheses can be proved true, hence accepted.
**********************
Luis AmaralAfonso |
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| John Smith... |
Posted: Sun Jul 13, 2008 5:41 am |
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Quote: Lazy, ignorant and
sloppy educated people, like Jack Tomsky, that is *
virgin * concerning up-to-date in this matters use
_________________^^^^^^^^^^^
HA HA HA!
Afonso, who writes his "statistical" code in BASIC cannot accuse ANYONE EXCEPT HIMSELF of not being up-to-date.
WHAT A JOKE IS AFONSO!
John Smith |
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| licas_ at (no spam) hotmail.com... |
Posted: Sun Jul 13, 2008 10:49 am |
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On 13 Jul, 16:41, John Smith <jsmith_... at (no spam) hotmail.com> wrote:
Quote: Lazy, ignorant and
sloppy educated people, like Jack Tomsky, that is *
virgin * concerning up-to-date in this matters use
_________________^^^^^^^^^^^
HA HA HA!
Afonso, who writes his "statistical" code in BASIC cannot accuse ANYONE EXCEPT HIMSELF of not being up-to-date.
WHAT A JOKE IS AFONSO!
John Smith
WORMSMITH that is so ignorant that
____he knows not that Test statistics can be based on Monte Basic
uantiles
____that even do not know that the degree of approximation could
easily be provided by the D.K.W. inequality he did know that such
result exist.
____that concerning the Jarque - Bera (J-B)test thinks that the
critical values versus sample size should be always growing.
____That thinks that the J-B Test Distribution should attain exactly a
Chi-squared, 2 df, because it was stated as so
APPROXIMATELY
____That thinks that a Null Hypotheses can be
proved true, then accepted, against real expert Statisticias included
R. Fisher.
____That concerning my program on Combinations thought that failed for
x=0
and other Reader concluded he was WRONG.
____that in numerical calculus of the Simpson Formula a quamtity O
(1E-124) claims it is not ZERO then i made a mistake.
_____AND SO ON, SO ON.
Luis Amaral Afonso [the moderator |
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| Luis A. Afonso... |
Posted: Tue Jul 15, 2008 8:28 am |
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WORMTOMSKY said:
*** Afonso has expressed hypotheses in terms of test statistics instead of parameters, has called Quantiles of test statistics "confidence intervals" and has called p-values "significance levels. He denies that the sample lies in the sample space. He needs to take a course in Statistics 101. Jack (moderator) ***
My response
__A liar and a BRUNDLE
__1__THE LIAR____I do not never made confusion between a statistic (a function of data) and a parameter (a constant characterizing the Distribution),
__2__THE BRUNDLE___Once the Statistics simulated by Monte Carlo its fractiles provided the Critical Values: Herbert Lilliefors open a DOOR to a guard that obtuse Mathematicians with their own tools were unable to find solution, analytically.. THEY PREFER TO HAVE EXACT SOLUTIONS TO MORE OR LESS CLOSE PROBLEMS THAN TO HAVE GOOD APPROXIMATIONS TO THE REAL ONES UNDER STUDY.
Furthermore the degree of approximation is rigorously controlled by a 70 years result: the Dvoretzky- Kiefer-Wolfowitz that Jack Tomsky did not met before I presented it HERE. I clearly jumped thought TWO YEARS AGO (or so). Effectively I said that Herbert Lilliefors found Confidence Intervals, a correction if made once, was to be accepted and acknowledged, as I did, if repeated daily only shows what Jack Tomsky is: unfair, ethically deficient, and trying, using no matter means, erase his BRUNDLES (much more serious, indeed, than my improper attribution). STINGY people do not lose n opportunity to show is stinginess. In his stupidity he is unable, even at present, to understand what marvelous tool Lilliefors brought to PRACTICAL STATISTICS. He shall never do.
__3__He denies that the sample lies in the sample space: THIS IS A LIE, Readers, THE BRUNDLE was from Jack Tomsky that *** the samples are in the parameter’s SPACE *** to what I reply in these terms: NOT AT ALL the samples are too rough to enter in a space that is an INTERVAL. This boy is STUPID, STINGY; MACHIEVOUS and LIAR
************************
Luis Amaral Afonso [The moderator (???) destroyer] |
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| Luis A. Afonso... |
Posted: Tue Jul 15, 2008 8:55 am |
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WORMTOMSKY said:
*** Afonso has expressed hypotheses in terms of test statistics instead of parameters, has called Quantiles of test statistics "confidence intervals" and has called p-values "significance levels. He denies that the sample lies in the sample space. He needs to take a course in Statistics 101. Jack (moderator) ***
My response
__A liar and a BRUNDLE
__1__THE LIAR____I do not never made confusion between a statistic (a function of data) and a parameter (a constant characterizing the Distribution),
__2__THE BRUNDLE___Once the Statistics simulated by Monte Carlo its fractiles provided the Critical Values: Herbert Lilliefors open a DOOR to a guard that obtuse Mathematicians with their own tools were unable to find solution, analytically.. THEY PREFER TO HAVE EXACT SOLUTIONS TO MORE OR LESS CLOSE PROBLEMS THAN TO HAVE GOOD APPROXIMATIONS TO THE REAL ONES UNDER STUDY.
Furthermore the degree of approximation is rigorously controlled by a 70 years result: the Dvoretzky- Kiefer-Wolfowitz that Jack Tomsky did not met before I presented it HERE. I clearly jumped thought TWO YEARS AGO (or so). Effectively I said that Herbert Lilliefors found Confidence Intervals, a correction if made once, was to be accepted and acknowledged, as I did, if repeated daily only shows what Jack Tomsky is: unfair, ethically deficient, and trying, using no matter means, erase his BRUNDLES (much more serious, indeed, than my improper attribution). STINGY people do not lose n opportunity to show is stinginess. In his stupidity he is unable, even at present, to understand what marvelous tool Lilliefors brought to PRACTICAL STATISTICS. He shall never do.
__3__He denies that the sample lies in the sample space: THIS IS A LIE, Readers, THE BRUNDLE was from Jack Tomsky that *** the samples are in the parameter’s SPACE *** to what I reply in these terms: NOT AT ALL the samples are too rough to enter in a space that is an INTERVAL. This boy is STUPID, STINGY; MACHIEVOUS and LIAR
************************
I had forgotten a very important Jack Tomsky inaccuracy
____Test Hypotheses ARE NOT EXCLUSIVELY CONCERNING PARAMETERS.
___ TO KIND OF THEM DO NOT HAVING TO DO WITH THEM:
____The GOODNESS OF RITTING (GOF),
____ AND the NO-PARAMETRIC
it´s logic to think that Jack Tomsky never find them (exactly alike in what concerns TESTS BY SIMULATION).
Luis Amaral Afonso [The moderator (???) destroyer] |
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| Jack Tomsky... |
Posted: Tue Jul 15, 2008 9:15 am |
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Quote: WORMTOMSKY said:
*** Afonso has expressed hypotheses in terms of test
statistics instead of parameters, has called
Quantiles of test statistics "confidence intervals"
and has called p-values "significance levels. He
denies that the sample lies in the sample space. He
needs to take a course in Statistics 101. Jack
(moderator) ***
My response
__A liar and a BRUNDLE
__1__THE LIAR____I do not never made confusion
between a statistic (a function of data) and a
parameter (a constant characterizing the
Distribution),
__2__THE BRUNDLE___Once the Statistics simulated by
Monte Carlo its fractiles provided the Critical
Values: Herbert Lilliefors open a DOOR to a guard
that obtuse Mathematicians with their own tools were
unable to find solution, analytically.. THEY PREFER
TO HAVE EXACT SOLUTIONS TO MORE OR LESS CLOSE
PROBLEMS THAN TO HAVE GOOD APPROXIMATIONS TO THE
E REAL ONES UNDER STUDY.
Furthermore the degree of approximation is rigorously
controlled by a 70 years result: the Dvoretzky-
Kiefer-Wolfowitz that Jack Tomsky did not met before
I presented it HERE. I clearly jumped thought TWO
YEARS AGO (or so). Effectively I said that Herbert
Lilliefors found Confidence Intervals, a correction
if made once, was to be accepted and acknowledged, as
I did, if repeated daily only shows what Jack Tomsky
is: unfair, ethically deficient, and trying, using no
matter means, erase his BRUNDLES (much more serious,
indeed, than my improper attribution). STINGY people
do not lose n opportunity to show is stinginess. In
his stupidity he is unable, even at present, to
understand what marvelous tool Lilliefors brought to
PRACTICAL STATISTICS. He shall never do.
__3__He denies that the sample lies in the sample
space: THIS IS A LIE, Readers, THE BRUNDLE was from
Jack Tomsky that *** the samples are in the
parameter’s SPACE *** to what I reply in these terms:
NOT AT ALL the samples are too rough to enter in a
space that is an INTERVAL. This boy is STUPID,
STINGY; MACHIEVOUS and LIAR
************************
I had forgotten a very important Jack Tomsky
inaccuracy
____Test Hypotheses ARE NOT EXCLUSIVELY CONCERNING
PARAMETERS.
___ TO KIND OF THEM DO NOT HAVING TO DO WITH THEM:
____The GOODNESS OF RITTING (GOF),
____ AND the NO-PARAMETRIC
it´s logic to think that Jack Tomsky never find them
(exactly alike in what concerns TESTS BY
SIMULATION).
Luis Amaral Afonso [The moderator (???) destroyer]
Afonso again repeats his ignorance that the sample space has to be an interval. The sample space is the set of all possible sample outcomes. By definition, each sample has to lie in the sample space.
Afonso again refuses to believe that hypotheses are statements about subsets of the parameter space. That's why he came up with the notorious H: 5/13 <= 8/13, which he is unable to accept.
Jack (moderator) |
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| Luis A. Afonso... |
Posted: Wed Jul 16, 2008 2:30 am |
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WORMTOSKY WROTE (I HIGHLIGHT)
Posted: Jul 11, 2008 3:52 PM
*** The null hypothesis is not a point in the acceptance region. The null hypothesis describes a subset of the parameter space. The acceptance region is a subset of the sample space. As long as the sample is in the acceptance region, the null hypothesis is accepted...***
The compulsive LIAR, Jack Tomsky accused ME of a sentence of him Jul 11, 2008 3:52 PM,
*** The acceptance region is a subset of the sample space.***
However WAS HIM THAT DID SAY
(Jul 15, 2008 3:15 PM)
Afonso again repeats his ignorance that the sample space has to be an interval. The sample space is the set of all possible sample outcomes. By definition, each sample has to lie in the sample space.
UNLESS Jack Tomsky suffer from MADNESS (family should persuade him to see a doctor), this is a criminal EPISODE intending to defame me.
What I said was precisely that the sample space is the set of all samples, inorganically, no matter what was intended to do with them, Therefore they have not to be affected to a Statistical Test, a rejection interval, or to a fail-to-reject one.
*********************.
LuÃs Amaral Afonso [The moderator destroyer] |
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