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predictor    音标拼音: [prɪd'ɪktɚ]
n. 预言者,预告者

预言者,预告者

predictor
预测子

predictor
n 1: someone who makes predictions of the future (usually on the
basis of special knowledge) [synonym: {forecaster},
{predictor}, {prognosticator}, {soothsayer}]
2: information that supports a probabilistic estimate of future
events; "the weekly bulletin contains several predictors of
mutual fund performance"
3: a computer for controlling antiaircraft fire that computes
the position of an aircraft at the instant of a shell's
arrival

Predictor \Pre*dict"or\, n.
One who predicts; a foreteller.
[1913 Webster]


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  • predictor - What is the difference between estimation and prediction . . .
    You start out well with a correct distinction between estimation and prediction, but then the last two-thirds of the reply appears to confound prediction with estimation once again Introducing the example of gender gets more confusing still, because it's not related to the initial distinction (in fact, it's nonsensical, because underlying it is a shift of statistical model between the
  • Data matrix, predictor matrix, observation matrix, model matrix, and . . .
    predictor matrix $\in \mathbb {R}^ {N\times p}$ is synonymous to observation matrix and data matrix They contain the raw, untreated data design matrix refers to the same concept in the context of a designed experiment model matrix is the result of applying some basis expansion * to the predictor matrix
  • Regression model not significant, but the predictor significant
    However, in this case, the significant predictor is not just one of the variables included in the model, but it is the one that is being specifically tested with an a priori hypothesis
  • When conducting multiple regression, when should you center your . . .
    When conducting multiple regression, when should you center your predictor variables when should you standardize them? Ask Question Asked 13 years, 10 months ago Modified 5 years, 5 months ago
  • What is the effect of having correlated predictors in a multiple . . .
    I learned in my linear models class that if two predictors are correlated and both are included in a model, one will be insignificant For example, assume the size of a house and the number of bedr
  • Definitions of Prediction vs. Predictor - Cross Validated
    A predictor, as you point out, is a variable used in coming up with the prediction The latter is not synonymous with prediction To talk about a prediction is to talk about the 'expected value of a new observation [given the specific inputs]' This is equivalent to both the MMSE estimate and mean of the posterior predictive
  • Computing the variance explained by a predictor variable in logistic . . .
    I'm keen to know how to compute the variance explained by a particular predictor variable in the model (say component specific R squared) I went through Calculate variance explained by each predic
  • Calculate variance explained by each predictor in multiple regression . . .
    I proved that the percentage of variation explained by a given predictor in a multiple linear regression is the product of the slope coefficient and the correlation of the predictor with the fitted values of the dependent variable (assuming that all variables have been standardized to have mean zero and variance one; which is without loss of
  • Announcing General Availability of Az. Tools. Predictor
    On November 10, 2020, we announced the first preview of Az Tools Predictor, a PowerShell module suggesting the Azure cmdlet to use with parameters and suggested values Today, we are announcing the general availability of Az Tools Predictor How it all started During a study about a new module for Azure, I was surprised to see how difficult it was for the participant to find the correct cmdlet
  • DHARMa diagnostics: residuals vs. predicted for categorial predictor . . .
    3 I fitted different response variables (one after each other) to the same categorial predictor Since it's a categorical predictor I get a boxplot for the residual vs fitted with the DHARMa diagnostics In Florian Hartig’s vignette he explains very neatly different examples for continuous predictors, but I struggle interpreting the boxplots





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