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Regression and Model Fitting

Andrew J. Connolly, Jacob T. VanderPlas, Alexander Gray, Andrew J. Connolly, Jacob T. VanderPlas, and Alexander Gray

in Statistics, Data Mining, and Machine Learning in Astronomy: A Practical Python Guide for the Analysis of Survey Data

Published in print:
2014
Published Online:
October 2017
ISBN:
9780691151687
eISBN:
9781400848911
Item type:
chapter
Publisher:
Princeton University Press
DOI:
10.23943/princeton/9780691151687.003.0008
Subject:
Physics, Particle Physics / Astrophysics / Cosmology

Regression is a special case of the general model fitting and selection procedures discussed in chapters 4 and 5. It can be defined as the relation between a dependent variable, y, and a set of ... More


Regression Models for Proportions

Theodore R. Holford

in Multivariate Methods in Epidemiology

Published in print:
2002
Published Online:
September 2009
ISBN:
9780195124408
eISBN:
9780199864270
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780195124408.003.0006
Subject:
Public Health and Epidemiology, Public Health, Epidemiology

This chapter considers the problem of fitting binary response models to data in which there are multiple regressor variables that may be either discrete or continuous in nature. The linear logistic ... More


Empirically Detecting Causality

Ray Huffaker, Marco Bittelli, and Rodolfo Rosa

in Nonlinear Time Series Analysis with R

Published in print:
2017
Published Online:
February 2018
ISBN:
9780198782933
eISBN:
9780191826153
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/oso/9780198782933.003.0008
Subject:
Physics, Theoretical, Computational, and Statistical Physics

Phenomenological models mathematically describe relationships among empirically observed phenomena without attempting to explain underlying mechanisms. Within the context of NLTS, phenomenological ... More


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