regression technique वाक्य
उदाहरण वाक्य
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- Newton is a hypnotherapist who says that he has developed his own age regression technique.
- At the long end, a regression technique with a cost function that values smoothness might be used.
- They use regression technique on him.
- T is now in a linear position with all other terms known, and thus can be analyzed by linear regression techniques.
- Now we have Professor Ursula James in her book with a chapter saying that past life regression technique is helpful in healing.
- This is usually done by fitting some kind of functional form to the curve, either by eye or by using non-linear regression techniques.
- This means that it will possibly take a symbolic regression algorithm much longer to find an appropriate model and parametrization, than traditional regression techniques.
- In such a situation, ordinary least squares ( the basic regression technique ) is widely seen as inadequate; instead probit regression or logistic regression is used.
- GEEs belong to a class of regression techniques that are referred to as cohort studies, because they can handle many types of unmeasured dependence between outcomes.
- Regression techniques can be used to determine if a specific case within a sample population is an outlier via the combination of two or more variable scores.
- While conventional regression techniques seek to optimize the parameters for a pre-specified model structure, symbolic regression avoids imposing a priori assumptions, and instead infers the model from the data.
- As a result, standard regression techniques cannot be applied to time series data and methodology has been developed to decompose the trend, seasonal and cyclical component of the series.
- These documents provide detailed information on the methodologies used to create the energy performance ratings including details on rating objectives, regression techniques, and the steps applied to compute a rating.
- Empirical VS is therefore based on function approximation and regression techniques that can be implemented using a variety of statistical or machine learning modelling methods, such as, to name a few:
- By using regression techniques and a mathematical model, Public Bank concluded that a one percentage point increase in loan growth contributed to a 0.125 percentage point increase in real GDP growth.
- By using regression techniques and a mathematical model, Public Bank concluded that a one percentage point increase in loan growth contributed to a 0 . 125 percentage point increase in real GDP growth.
- Both linear regression techniques such as analysis of variance estimate the MSE as part of the analysis and use the estimated MSE to determine the statistical significance of the factors or predictors under study.
- MSE is also used in several stepwise regression techniques as part of the determination as to how many predictors from a candidate set to include in a model for a given set of observations.
- This is not normally a problem if the outlier is simply an extreme observation drawn from the tail of a normal distribution, but if the outlier results from non-normal measurement error or some other violation of standard ordinary least squares assumptions, then it compromises the validity of the regression results if a non-robust regression technique is used.
- In regards to intensity forecasting, the Statistical Hurricane Intensity Prediction Scheme ( SHIPS ) utilizes relationships between environmental conditions from the Global Forecast System ( GFS ) such as vertical wind shear and sea surface temperatures, climatology, and persistence ( storm behavior ) via multiple regression techniques to come up with an intensity forecast for systems in the northern Atlantic and northeastern Pacific oceans.
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