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Books like Applied logistic regression analysis by Scott W. Menard

Name: Applied logistic regression analysis
Author: Scott W. Menard

📘 Applied logistic regression analysis by Scott W. Menard

First publish date: 1995

Genre: Psychology/General Psychology

Authors: Scott W. Menard

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Books similar to Applied logistic regression analysis (7 similar books)

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The Elements of Statistical Learning explains key statistical methods that underlie modern machine learning, data mining, and bioinformatics, covering supervised and unsupervised learning techniques such as classification trees, neural networks, and support vector machines.

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📘 Bayesian data analysis

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A practical guide to Bayesian statistical analysis that prioritizes computation, model checking, and data‑collection design, with examples spanning regression, hierarchical, robust, generalized linear, and mixture models.

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📘 Extending the Linear Model with R

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📘 An Introduction to Statistical Learning

by Gareth James

An Introduction to Statistical Learning offers a practitioner‑friendly guide to modern statistical learning methods, including linear regression, classification, resampling, shrinkage, tree‑based models, SVMs, and clustering, with R tutorials and real‑world examples.

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📘 Applied regression analysis

by Norman Richard Draper

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📘 Applied logistic regression

by David W. Hosmer

An accessible introduction to logistic regression models, updated and expanded with new topics and applications.

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📘 Multivariate Data Analysis

by Joseph F., Jr Hair

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Some Other Similar Books

Logistic Regression: A Self-Learning Text by David G. Kleinbaum and Kevin M. Sullivan
Regression Modeling Strategies by Frank E. Harrell Jr.
Applied Regression Analysis and Generalized Linear Models by John Fox
Categorical Data Analysis by James Goodman
Logistic Regression Using SAS: Theory and Application by Paul D. Allison
Applied Multivariate Techniques by M. F. M. S. K. Gupta
Practical Guide to Logistic Regression by David W. Hosmer Jr., Stanley Lemeshow
Modeling Binary Data by Consuelo Baeza-Yates
Logistic Regression: A Self-Learning Text by David G. Kleinbaum and Kevin M. Sullivan
Regression Modeling Strategies by Frank E. Harrell Jr.
Categorical Data Analysis by James O. Berger
Studies in Logistic Regression by Robert G. Hollander
Modern Applied Statistics with S by W.N. Venables and Brian D. Ripley

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