प्रतितुला इसके अंग्रेजी अर्थ का उदाहरण

Across the ten elections from 1976 to 2012, equally weighted predictors reduced the forecast error of the original regression models on average by four percent.

Some analysts, however, do use Jensen's alpha for the numerator and a regression-adjusted tracking error for the denominator (this version of the information ratio is often described as the appraisal ratio to differentiate it from the more common definition).

"The relative efficiency of regression and simple unit predictor weights in applied differential psychology".

The following regression (Co1, at 87,0 Ma) separates the Middle from the Upper Coniacian substage.

"CART analysis with unit-weighted regression to predict suicidal ideation from Big Five traits".

The conclusion is that no one can truly have knowledge of anything, since it is, due to this infinite regression, impossible to satisfy the justification element.

Depending on the specific technique, spatial dependency can enter the regression model as relationships between the independent variables and the dependent, between the dependent variables and a spatial lag of itself, or in the error terms.

1997 was a slight regression for McManus, but not for the Eskimos as they won their division for the first time since 1991.

Following this model, the analysis implies to use an estimation window (typically sized 120 days) prior to the event to derive the typical relationship between the firm's stock and a reference index through a regression analysis.

For example, a set of observations (as points or extracted from raster cells) at matching locations can be intersected and examined by regression analysis.

In a 1935 paper he introduced the concept of generalized least squares, along with now standard vector/matrix notation for the linear regression model.

In addition to implications for policy, Rosen's analysis of choice in characteristics space with tied sales specified the conditions under which the parameters of demand and supply function parameters for the underlying characteristics of goods could be deduced from so-called [regression]s.

The \beta coefficient should not be interpreted as the effect of x_i on y_i, as one would with a linear regression model; this is a common error.