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variance造句

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Minimum variance estimator

variance造句

uniformly minimum variance unbiased

uniformly minimum variance

Reduced variance in estimation.

It's very foolish to use variance.

On the other hand, this variance can't be ignored.

Early risk mitigation hence means that the variance in your estimates will be reduced more rapidly.

Expected value is good and variance is bad because that's risk; that's uncertainty.

Thus, the variance for these projects is limited to a fairly small range.

Note that a guiding principle for choosing metrics is how they will affect a specific project parameter's variance.

The analysis of variance (ANOVA) showed that the contribution of quadratic model was significant for the responses.

The variance of a random variable measures how far from the expected value its values typically are.

Suppose the estimated duration of a task is 3 months, and the variance of the estimate is 1 month.

In this article, we examined the relationships between generalizability theory (GT) and classic test theory, analysis of variance.

They conflated high food prices with greater food price volatility, which is best defined as variance around the food price level.

If the plant is operated as a cost center, manufacturing cost variance between actual cost and standard/planned cost, are used to help measure performance.

It is based on the implicit assumption that the plan can be made with certainty: i.e., that the variance of the durations is very low.

For example, a metric that does not correlate to the project cost or duration cannot aid in assessing the variance reduction in the iterations.

List the complete set of behavioral variables observed. If your data is at variance with your assumptions, you need to add, subtract, or modify the roles and behaviors you anticipated. If the variance is significant enough, you may consider additional interviews to cover any gaps in the new behavior

In particular, the team can estimate the three values — lowest, nominal, and highest estimations — assuming that the risk was removed, and then apply these values to reestimate the project variance.

Depending on where the assets expected returns are and the assets' standard deviations, we can see that we might be able to do better than — have a lower variance than either asset.

The broad theory that we develop in this book, and the specific models, incorporate basic assumptions that are at variance with those of the prevailing orthodox theory of firm and industry behavior.

Most of the controllable variance normally relates to the cost of the variable factory overhead items. This is because there is usually little or no variation in the fixed factory overhead costs.

The notion that the atom bomb is already overhead and about to fall on us in a matter of seconds is a calculation at variance with reality and it would be wrong to take a negative attitude towards coastal industry on this account.

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