Noun:

সহভেদাংক,

covariances শব্দের বাংলা অর্থ এর উদাহরণ:

ত্রুটিসমূহ পরস্পর সম্পর্কহীন, তার মানে, ত্রুটিসমূহের ভেদাংক-সহভেদাংক ম্যাট্রিক্স (variance-covariance matrix) একটি কর্ণ ম্যাট্রিক্স, এবং প্রতিটি ।

কোন বিপরীত ম্যাট্রিক্সের কর্ণ থেকে পাওয়া যায় (অজানা রাশির পশ্চাদ্বর্তী-সহভেদাংক (posterior-covariance) ম্যাট্রিক্স) ।

covariances's Usage Examples:

to derive the theoretical properties, such as the mean, variance and covariances of quantities that would be observed, then the intermediate variables.

commonly used to test the assumption of homogeneity of variances and covariances in MANOVA and linear discriminant analysis.

normally distributed disturbances with zero means, finite and constant covariances, a nonsingular covariance matrix, and serial independence; 10.

interpolated values are modeled by a Gaussian process governed by prior covariances.

that the class covariances are identical, so Σ 0 = Σ 1 = Σ {\displaystyle \Sigma _{0}=\Sigma _{1}=\Sigma } ) and that the covariances have full rank.

Although the values of the theoretical covariances and correlations are linked in the above way, the probability distributions.

" Though regardless of Gaussianity, if the process and measurement covariances are known, the Kalman filter is the best possible linear estimator in.

Note that this still allows for the off-diagonals, the covariances E ϵ i ϵ j {\displaystyle E\epsilon _{i}\epsilon _{j}} , to be nonzero.

distributions and the expectations (or expected values), variances and covariances of such combinations.

variables change together, and may refer to: Covariance matrix, a matrix of covariances between a number of variables Covariance or cross-covariance between.

The matrices below are covariances when there are just three observations across time.

{\displaystyle \mathbf {X} } , which is understood to be the matrix of covariances between the scalar components of X {\displaystyle \mathbf {X} } itself.

record, the impact of mutations on shape, developmental changes in form, covariances between ecological factors and shape, as well for estimating quantitative-genetic.

methodological contributions, including work on modeling of means and covariances with raw data, the utility of the DeFries–Fulker analysis, and measured.

differences in intra-individual change over time by modeling the variances and covariances.

{\displaystyle \sigma _{X}^{2}} consists of item variances and inter-item covariances.

} By a simple standard identity on covariances, we have 1 = cov ⁡ ( m ~ , R ~ ) + E ( m ~ ) E ( R ~ ) .

Markowitz) offers a solution to this problem once the expected returns and covariances of the assets are known.

Synonyms:

variance;

Antonyms:

changelessness; sameness;