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estimating equation वाक्य

"estimating equation" हिंदी मेंestimating equation in a sentence
उदाहरण वाक्यमोबाइल
  • The coefficients in the estimated equation weight automatically the importance of the various factors.
  • In Simultaneous Equations Models ( SEM ), one can estimate equation by equation.
  • Generalized Estimating Equations ( GEE ) were then used to examine differences between the treatment and comparison groups.
  • The model can be estimated equation-by-equation using standard ordinary least squares ( OLS ).
  • Therefore, contemporary statistical theorists often consider stationary points of the likelihood function ( or zeros of its derivative, the score function, and other estimating equations ).
  • The estimated equation for 2006 can be utilized to calculate index values for year in the past and future, allowing for comparison over time as well across countries.
  • "Models " of the economy _ series of statistically estimated equations that describe the determinants of consumption, investment and the like _ were first put together in the 1930s.
  • The following is an efficient method, known as the " Koay inversion technique " . for solving the estimating equations, based on the sample mean and the sample standard deviation, simultaneously.
  • Lasso regularization can be extended to a wide variety of objective functions such as those for generalized linear models, generalized estimating equations, proportional hazards models, and M-estimators in general, in the obvious way.
  • A popular instrumental variable approach is to use a two-step procedure and estimate equation ( 2 ) first and then use the estimates of this first step to estimate equation ( 1 ) in a second step.
  • A popular instrumental variable approach is to use a two-step procedure and estimate equation ( 2 ) first and then use the estimates of this first step to estimate equation ( 1 ) in a second step.
  • Though originally defined for least squares, lasso regularization is easily extended to a wide variety of statistical models including generalized linear models, generalized estimating equations, proportional hazards models, and M-estimators, in a straightforward fashion.
  • This still leaves the question of how to obtain estimators in a given situation and carry the computation, several methods have been proposed : the method of moments, the maximum likelihood method, the least squares method and the more recent method of estimating equations.
  • From the condition that at a maximum, the partial derivative with respect to the shape parameter equals zero, we obtain the following system of coupled maximum likelihood estimate equations ( for the average log-likelihoods ) that needs to be inverted to obtain the ( unknown ) shape parameter estimates \ hat { \ alpha }, \ hat { \ beta } in terms of the ( known ) average of logarithms of the samples " X " 1, . . ., " X N ":

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