least square estimate वाक्य
उदाहरण वाक्य
मोबाइल
- In these cases, the least squares estimate amplifies the measurement noise and may be grossly inaccurate.
- In particular, least squares estimates for regression models are highly sensitive to ( not robust against ) outliers.
- In general, they may be estimated using the unrestricted least squares estimates obtained from the original full model.
- Univariate normality is not needed for least squares estimates of the regression parameters to be meaningful ( see Gauss-Markov theorem ).
- This filter uses MRI signal models to implement an approximate maximum likelihood or least squares estimate of each pixel gray level from the gray levels.
- The simplest methods of estimating parameters in a regression model that are less sensitive to outliers than the least squares estimates, is to use least absolute deviations.
- When the conditional variance is known, then the inverse variance weighted least squares estimate is BLUE . However, the conditional variance is rarely, if ever, known.
- Our goal is to estimate the parameters of the filter \ mathbf { w }, and at each time " n " we refer to the new least squares estimate by \ mathbf { w } _ n.
- This can be easily generated for any distribution for which the quantile function can be computed, but conversely the resulting estimates of location and scale are no longer precisely the least squares estimates, though these only differ significantly for small.
- Ogwang showed that " G " can be expressed as a function of the weighted least squares estimate of the constant " A " and that this can be used to speed up the calculation of the jackknife estimate for the standard error.
- Moreover, if the components of z are uncorrelated and have equal variance such that C _ Z = \ sigma ^ 2 I, where I is an identity matrix, then W = ( A ^ TA ) ^ {-1 } A ^ T is identical to the ordinary least square estimate.
- He is known for Stein's paradox in decision theory, which shows that ordinary least squares estimates can be uniformly improved when many parameters are estimated; for Stein's lemma, giving a formula for the covariance of one random variable with the value of a function of another when the two random variables are National Academy of Sciences.
- Then in a supplement to his 1810 paper written after he had seen Gauss's work, he showed that the central limit theorem provided a Bayesian justification for least squares : if one were combining observations, each one of which was itself the mean of a large number of independent observations, then the least squares estimates would not only maximize the likelihood function, considered as a posterior distribution, but also minimize the expected posterior error, all this without any assumption as to the error distribution or a circular appeal to the principle of the arithmetic mean.
least square estimate sentences in Hindi. What are the example sentences for least square estimate? least square estimate English meaning, translation, pronunciation, synonyms and example sentences are provided by Hindlish.com.