A fixed-width interval for in simple linear regression

Interval linear regression

‎In this paper‎, ‎we have studied the analysis an interval linear regression model for fuzzy data‎. ‎In section one‎, ‎we have introduced the concepts required in this thesis and then we illustrated linear regression fuzzy sets and some primary definitions‎. ‎In section two‎, ‎we have introduced various methods of interval linear regression analysis‎. ‎In section three‎, ‎we have implemented nu...

Fixed-width Confidence Interval for a Lognormal Mean

Sequential Fixed-width Confidence Bands for Kernel Regression Estimation

We consider a random design model based on independent and identically distributed (iid) pairs of observations (Xi, Yi), where the regression function m(x) is given by m(x) = E(Yi|Xi = x) with one independent variable. In a nonparametric setting the aim is to produce a reasonable approximation to the unknown function m(x) when we have no precise information about the form of the true density, f...

Interval censored regression with fixed effects

This paper considers estimation of a fixed-effects model with an interval-censored dependent variable. In each time period, the researcher observes the interval (with known endpoints) in which the dependent variable lies but not the value of the dependent variable itself. Two versions of the model are considered, a parametric model with logistic errors and a semiparametric model with errors hav...

Correlation in Simple Linear Regression

Many people who do data analysis take only a few classes in statistics and hence, in general, get introduced only to classical methods of statistics; i.e., least squares, normal theory, and possibly maximum likelihood methods. The motivation for most of these techniques is the maximizing of a function of the data with respect to some parameter—mean, variance, slope, e.g. Calculus is used by tak...