Noun:

রৈখিক নির্ভরণ,

linear regression শব্দের বাংলা অর্থ এর উদাহরণ:

পরিচিত পদ্ধতি যেমন, রৈখিক নির্ভরণ এবং সাধারণ লঘিষ্ট বর্গ নির্ভরণ হচ্ছে পরামিতিক, এই অর্থে যে, সেখানে নির্ভরণ ।

(শ্রেণীবিভাগ • রিগ্রেশন) সিদ্ধান্ত বৃক্ষ স্থাপত্য সমাহার বুস্টিং দৈব অরণ্য রৈখিক নির্ভরণ ক্লাস্টারিং কিউর অপ্টিক্স মিন-শিফট ডিবিস্ক্যান মাত্রা হ্রাস উৎপাদক বিশ্লেষণ ।

linear regression's Usage Examples:

In statistics, linear regression is a linear approach to modelling the relationship between a scalar response and one or more explanatory variables (also.

several multiple linear regression models.

The various multiple linear regression models may be.

In statistics, Bayesian linear regression is an approach to linear regression in which the statistical analysis is undertaken within the context of Bayesian.

In statistics, simple linear regression is a linear regression model with a single explanatory variable.

in linear regression.

Again in contrast to linear regression.

The most common form of regression analysis is linear regression, in which one finds the line (or a more complex linear combination).

is the multiple linear regression model.

In modern econometrics, other statistical tools are frequently used, but linear regression is still the most.

linear regression that allows for response variables that have error distribution models other than a normal distribution.

estimator, a method for robust simple linear regression Liu, J.

statistics, Bayesian multivariate linear regression is a Bayesian approach to multivariate linear regression, i.

linear regression where the predicted outcome.

set of formulations for solving statistical problems involved in linear regression, including variants for ordinary (unweighted), weighted, and generalized.

One class of such cases includes that of simple linear regression where r2 is used instead of R2.

regression models and the term is often taken as synonymous with linear regression model.

matrix manipulations involving the design matrix: see for example linear regression.

linear least squares method for estimating the unknown parameters in a linear regression model.

Segmented linear regression is segmented regression whereby the relations in the intervals are obtained by linear regression.

Segmented linear regression with.

In linear regression, mean response and predicted response are values of the dependent variable calculated from the regression parameters and a given.

coefficients − is a central issue in all applications of linear regression models.

For linear regression models, the Chow test is often used to test for a single.

the enzyme kinetics obey ideal second- order kinetics, however non-linear regression is needed for systems that do not behave ideally.

Synonyms:

regression; regression coefficient; simple regression; regression toward the mean; statistical regression; rectilinear regression;

Antonyms:

normality;