Hiahawatha designs an experiment
(шуточное стихотворение)
(Доугерти К. «Введение в эконометрику» с.22)
Hiahawatha designs an experiment
Hiawatha, mighty fighter
He could shoot ten arrows upwards
Shoot them with such strength and swiftness
That the last had left the bow string
Ere first to earth descended
This was commonly regarded
As a feet of skill and cunning.
One or two sarcastic spirits
Pointed out to him, however
That it might be much more useful
If he sometimes hit the target.
Why not shoot a little straighter
And employ a smaller sample?
Hiawatha, who at college
Majored in applied statistics[2]
Consequently felt entitled
To instruct his fellow men on
Any subject whatsoever,
Waxed exceedingly indignant
Talked about the law of error
Talked about truncated normals
Talked of loss of information
Talked about his lack of bias
Pointed out that in the long run
Independent observations
Even though they missed the target
Had an average point of impact
Very near the spot he aimed at
(With the possible exception
Of a set of measure zero).
This, they said was rather douptful.
Anyway, it didn’t matter
What resulted in the long run;
Either he must hit the target
Much more often than in present
Or himself would have to pay for
All the arrows that he wasted.
Hiawatha, in a temper,
Quoted parts of R.A.Fisher
Quoted Yates and quoted Finney
Quoted yards of Oscar Kempthorne
Quoted reams of Cox and Cochran
Practically in extenso
Trying to impress them
That what actually mattered
Was to estimate the error.
One or two of them admitted
Such a thing might have it uses
Still, they said, he might do better
If he shot a little straighter.
Hiawatha, to convince them,
Organized a shooting contest
Laid out in the proper manner
Of designs experimental
Recommended in the textbooks
(Mainly used for testing tea, but
Randomized his shooting order
In factorial arrangements
Used in theory of Galois
Fields of ideal polynomials
Got a nicely balanced layout
And successfully confounded
Second-order interactions.
All the other tribal marksmen
Ignorant, benighted creatures
Of experimental set-ups
Spent their time of preparation
Putting in a lot of practice
Merely shooting at a target.
Thus it happened in the contest
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That their scores were most impressive
With the solitary exception
This (I hate to have to say it)
Was the score of Hiawatha
Who, as usual, shot with great strength and swiftness
Managing to be unbiased
Not, however, with his salvo
Managing to hit the target.
There, they said to Hiawatha
This is what we all expected.
Hiawatha, nothing daunted
Called for pen and called for paper
Did analyses of variance
Finally produced the figures
Showing beyond peradventure
Everybody else was biased
And the variance components
Did not differ from each other
Or from Hiawatha’s
(This last point, one should acknowledge
Might have been much more convincing
If he hadn’t been compelled to
Estimate his own component
From experimental plots in
Which the values all were missing
Still, they didn’t understand it
So they couldn’t raise objections
This is what so often happens
With analyses of variance).
All the same, his fellow tribesmen
Ignorant, benighted heathens
Took away his bow and arrows,
Said that though my Hiawatha
Was a brilliant statistician
He was useless as a bowman.
As for variance components
Several of more outspoken
Made primeval observations
Hurful of the finer feelings
Even of a statistician.
In a corner of the forest
Dwells alone my Hiawatha
Permanently cogitating
On the normal law of error
Wondering in idle moments
Whethering an increased precision
Might perhaps be rather better
Even at a risk of bias
If thereby one, now and then, could
Register upon the target.
Словарь эконометрических терминов
Adventure – событие
analyses of variance – дисперсионный анализ
average point – среднее значение
bias – смещение
(to) compel to estimate – подчинить оценке, оценить
error – ошибка
(to) estimate – оценить
independent observation – независимое наблюдение
order – последовательность
(to) randomize – расположить в случайном порядке
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sample – выборка
set of measure zero – бесконечно малая величина
statistics – статистика
truncated normals – усечение нормального распределения
value – значение
variance – дисперсия
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