Quasi - Regression 3

نویسندگان

  • Jian An
  • Art Owen
چکیده

Quasi-regression is introduced for approximation of functions on the unit cube in s dimensions. It is computationally eecient, compared to kriging, for problems requiring a large number of function evaluations. This paper describes how to implement quasi-regression and shows how to estimate the approximation error using the same data used to build the approximation. Four example functions are investigated numerically.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Title of Dissertation : Nonparametric Quasi - likelihood in Longitudinal Data

Title of Dissertation: Nonparametric Quasi-likelihood in Longitudinal Data Analysis Xiaoping Jiang, Doctor of Philosophy, 2004 Dissertation directed by: Professor Paul J. Smith Statistics Program Department of Mathematics This dissertation proposes a nonparametric quasi-likelihood approach to estimate regression coefficients in the class of generalized linear regression models for longitudinal ...

متن کامل

Monitoring of nonlinear respiratory elastance using a multiple linear regression analysis.

The elastic pressure/volume (P/V) curve obtained by the multiple linear regression (MLR) technique using a new model, was compared with the quasi-static P/V points obtained by the rapid airway occlusion technique. Seven infants were studied during mechanical ventilation using a pressure controlled mode. The resistive pressure was subtracted from airway opening pressure, thus determining the ela...

متن کامل

Quasi-Poisson vs. negative binomial regression: how should we model overdispersed count data?

Quasi-Poisson and negative binomial regression models have equal numbers of parameters, and either could be used for overdispersed count data. While they often give similar results, there can be striking differences in estimating the effects of covariates. We explain when and why such differences occur. The variance of a quasi-Poisson model is a linear function of the mean while the variance of...

متن کامل

Quasi-regression for visualization and interpretation of black box functions

Many machine learning algorithms make use of black box functions. Given such a function f(x) for d dimensional x, it can be difficult to tell which variables, if any, dominate f . In quasi-regression the function f is expanded in an orthogonal basis. A large number of the coefficients are estimated by Monte Carlo and then various parts of f are plotted. We illustrate quasi-regression on some ne...

متن کامل

A Bayesian Nominal Regression Model with Random Effects for Analysing Tehran Labor Force Survey Data

Large survey data are often accompanied by sampling weights that reflect the inequality probabilities for selecting samples in complex sampling. Sampling weights act as an expansion factor that, by scaling the subjects, turns the sample into a representative of the community. The quasi-maximum likelihood method is one of the approaches for considering sampling weights in the frequentist framewo...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1999