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Statistical Modelling

2019
In this chapter, we present statistical modelling approaches for predictive tasks in business and science. Most prominent is the ubiquitous multiple linear regression approach where coefficients are estimated using the ordinary least squares algorithm. There are many derivations and generalizations of that technique. In the form of logistic regression,
Dettling, Marcel, Ruckstuhl, Andreas
openaire   +2 more sources

Cancer treatment and survivorship statistics, 2022

Ca-A Cancer Journal for Clinicians, 2022
Kimberly D Miller   +2 more
exaly  

Cancer statistics, 2023

Ca-A Cancer Journal for Clinicians, 2023
Rebecca L Siegel   +2 more
exaly  

Cancer statistics, 2022

Ca-A Cancer Journal for Clinicians, 2022
Rebecca L Siegel   +2 more
exaly  

Cancer Statistics, 2021

Ca-A Cancer Journal for Clinicians, 2021
Rebecca L Siegel   +2 more
exaly  

Statistics

Annual Review of Psychology, 1962
openaire   +2 more sources

STATISTICS

The Journal of the American Dental Association, 2013
openaire   +2 more sources

Statistics

JAMA: The Journal of the American Medical Association, 1972
openaire   +2 more sources

STATISTICAL BRIEFING: STATISTICAL POWER

Veterinary Radiology & Ultrasound, 2009
openaire   +2 more sources

Statistical Independence and Statistical Equilibrium

American Journal of Mathematics, 1940
Hartman, Philip, Wintner, Aurel
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