<--- Back to Details
First PageDocument Content
Estimation theory / Linear regression / Estimator / Ordinary least squares / Probit model / Dummy variable / Gauss–Markov theorem / Least squares / Maximum likelihood / Statistics / Regression analysis / Econometrics
Date: 2014-05-02 10:22:26
Estimation theory
Linear regression
Estimator
Ordinary least squares
Probit model
Dummy variable
Gauss–Markov theorem
Least squares
Maximum likelihood
Statistics
Regression analysis
Econometrics

Add to Reading List

Source URL: www.hks.harvard.edu

Download Document from Source Website

File Size: 1,14 MB

Share Document on Facebook

Similar Documents

Moment Estimation of the Probit Model with an Endogenous Continuous Regressor Daiji Kawaguchi∗ Graduate School of Economics Hitotsubashi University Yukitoshi Matsushita†

DocID: 1v4to - View Document

Gibbs Sampling for the Probit Regression Model with Gaussian Markov Random Field Latent Variables Mohammad Emtiyaz Khan Department of Computer Science University of British Columbia

DocID: 1uaIQ - View Document

Statistics / Mathematical analysis / Probability / Probability distributions / Infinitely divisible probability distributions / Poisson processes / Exponential distribution / Exponentials / Probit model

CIA Exercise Aureo de Paula and Florian Oswald, UCL March 5, 2013 1

DocID: 1qO0a - View Document

Statistics / Regression analysis / Logistic regression / Logit / Odds ratio / Probit model / Statistical classification / Dependent and independent variables / Multinomial logistic regression / Dummy variable

Some Issues in Using PROC LOGISTIC for Binary Logistic Regression by David C. Schlotzhauer Contents

DocID: 1qMpd - View Document

Statistics / Probability distributions / Single-equation methods / Regression analysis / Statistical models / Estimation theory / Logit / Discrete choice / Probit / Logistic distribution / Normal distribution / Linear probability model

CALCULATING MARGINAL PROBABILITIES IN PROC PROBIT Guy Pascale, Memorial Health Alliance Introduction The PROBIT procedure within the SAS system provides a simple method for estimating discrete choice

DocID: 1qFjc - View Document