Translation of "variance and covariance" to Japanese language:


  Dictionary English-Japanese

Covariance - translation : Variance - translation : Variance and covariance - translation :

  Examples (External sources, not reviewed)

From there, I can get the variance covariance matrix.
思い出してくれ 分散は二乗和をnで割っただけ もし記述統計をやるのなら
This over here is kind of a mixed variance. This is often called the covariance.
ここも正規化していることに気づくでしょう
And if we pre and post multiply that by the variance covariance matrix, that gives us, the correlation matrix.
相関行列が得られる 分散は1に標準化している
Now, b is also easily expressed using the covariance, but now we're normalizing by the variance of x.
ただしここではXの分散で正規化します bはいくつになると思いますか
All we represented was a vector, the mean, and the covariance matrix, and the covariance matrix is quadratic.
そしてもし観測空間が決まった大きさであれば
This is called often covariance if you've normalized, because it is the variance calculation of a two co occuring variables.
これは同時に起こっている変数の分散だからです これらが分散です
And now I have a variance co variance matrix.
対角成分には分散が 非対角成分には分散
So there we went from the raw data to, the variance, covariance matrix and the correlation matrix all using this new skill, metrical algebra.
相関行列と この新しいスキル 行列の代数を用いて算出してきました それはそんな長い時間かかってない たった15分 とっても簡単
That is variance explained and variance that is not explained.
Yの分散をカテゴリ分けする時の基本的な方法です
Variance
許容誤差
Variance
頂点の数
Variance
分散
It does help reinforce the concept, of correlation and covariance.
そして分散は先に進むのにも重要な概念です
More variance allowed for more co variance.
以上から 相関関係を見る時の私からの何か条かの注意文が作れます
Is the covariance large, medium, or small?
1つは最大 1つは中 1つが小です
position variance
PropertyName
angle variance
PropertyName
velocity variance
PropertyName
angularVelocity variance
PropertyName
acceleration variance
PropertyName
angularAcceleration variance
PropertyName
force variance
PropertyName
torque variance
PropertyName
mass variance
PropertyName
inertia variance
PropertyName
momentum variance
PropertyName
Stiffness variance
PropertyName
Damping variance
PropertyName
Position1 variance
PropertyName
Variance 2
頂点の数
Field variance?
フィールド分散
Say we have a prior of a Gaussian with a mean mu and covariance sigma squared, and our measurement has exactly the same mean and same covariance.
観測の結果もまったく同じ 平均と分散だったとします これらを掛けて新たな平均を求めると 古い平均と同じ値になりますね
And covariance was just sum of cross products divided by n.
nで割った物だった ここでも ちょっと細工して
And the concept of co variance.
まだこれは全く説明してませんね 小文字のイタリックのrを
angular momentum variance
PropertyName
kinetic energy variance
ObjectClass
Potential depth variance
PropertyName
Gravitation constant variance
ObjectClass
Weight constant variance
ObjectClass
Rest length variance
PropertyName
Current length variance
PropertyName
Calculated estimate variance
計算された見積もりの差異
Um, we are gonna use this phrase for mean squares for variance, so they both mean variance, mean square and variance same thing.
同じことです そして数学上でも同じです
Now I'm going to ask you about the covariance.
それぞれ1つだけチェックしてください
We take the product of the variance of x and the variance of y modally with the normalizers and we get something quadratic even in variance space.
すると分散ですが2次式となります これを分散と言います

 

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