<--- Back to Details
First PageDocument Content
Regression analysis / Statistical theory / Proportional hazards models / Logarithm / Kaplan–Meier estimator / Likelihood-ratio test / Statistics / Survival analysis / Estimation theory
Date: 2008-02-13 12:31:58
Regression analysis
Statistical theory
Proportional hazards models
Logarithm
Kaplan–Meier estimator
Likelihood-ratio test
Statistics
Survival analysis
Estimation theory

Microsoft Word - venusiex_stata.doc

Add to Reading List

Source URL: www-users.york.ac.uk

Download Document from Source Website

File Size: 61,11 KB

Share Document on Facebook

Similar Documents

Stat 928: Statistical Learning Theory  Lecture: 4 The Central Limit Theorem; Large Deviations; and Rate Functions Instructor: Sham Kakade

Stat 928: Statistical Learning Theory Lecture: 4 The Central Limit Theorem; Large Deviations; and Rate Functions Instructor: Sham Kakade

DocID: 1vkcR - View Document

Stat 928: Statistical Learning Theory  Lecture: 22 Exponentiated Gradient Descent Instructor: Sham Kakade

Stat 928: Statistical Learning Theory Lecture: 22 Exponentiated Gradient Descent Instructor: Sham Kakade

DocID: 1vbLp - View Document

ECE901 Spring 2007 Statistical Learning Theory  Instructor: R. Nowak Lecture 13: Maximum Likelihood Estimation

ECE901 Spring 2007 Statistical Learning Theory Instructor: R. Nowak Lecture 13: Maximum Likelihood Estimation

DocID: 1vbHd - View Document

Statistical learning theory : a primer Louis Wehenkel University of Li`ege - Institut Montefiore Department of Electrical Engineering and Computer Science Email :  February 1, 2018

Statistical learning theory : a primer Louis Wehenkel University of Li`ege - Institut Montefiore Department of Electrical Engineering and Computer Science Email : February 1, 2018

DocID: 1v6Ai - View Document

Stat 928: Statistical Learning Theory  Lecture: 19 Perceptron Lower Bound & The Winnow Algorithm Instructor: Sham Kakade

Stat 928: Statistical Learning Theory Lecture: 19 Perceptron Lower Bound & The Winnow Algorithm Instructor: Sham Kakade

DocID: 1v3Qc - View Document