Practical guide to logistic regression

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Practical guide to logistic regression

Practical guide to logistic regression

Joseph M. Hilbe

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หมวดหมู่:

Business & Economics - Logistics

ปี:

2016

สำนักพิมพ์:

Taylor & Francis

ภาษา:

english

จำนวนหน้า:

158

ISBN 10:

1498709575

ISBN 13:

9781498709576

ไฟล์:

PDF, 1.95 MB

IPFS:

,

english, 2016

อ่านออนไลน์

ดาวน์โหลด (pdf, 1.95 MB)

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คุณอาจสนใจ

David W. Hosmer, Stanley Lemeshow — Applied Logistic Regression (Wiley Series in Probability and Mathematical Statistics. Applied Probability and Statistics Section)

John H. Aldrich, Forrest D. Nelson — Linear Probability, Logit, and Probit Models (Quantitative Applications in the Social Sciences)

Tim Futing Liao — Interpreting Probability Models: Logit, Probit, and Other Generalized Linear Models

LazyProgrammer — Unsupervised Deep Learning in Python

Scott Hartshorn — Linear Regression And Correlation: A Beginner’s Guide

Scott Hartshorn — Machine Learning With Random Forests And Decision Trees: A Visual Guide For Beginners

Marley W. Watkins — A Step-by-Step Guide to Exploratory Factor Analysis with R and RStudio

Ronald Christensen — Log-Linear Models and Logistic Regression

David Hosmer, Stanley Lemeshow, Rodney Sturdivant — Applied Logistic Regression

Samprit Chatterjee, Jeffrey S. Simonoff(auth.) — Handbook of Regression Analysis

Paul D. Allison — Logistic Regression Using the SAS System: Theory and Application

David W. Hosmer, Stanley Lemeshow — Applied logistic regression

Michael R. Chernick, Robert H. Friis — Statistics - Correlation, Linear Regression, And Logistic Regression

George A. F. Seber, Alan J. Lee — Linear Regression Analysis, 2nd edition (Wiley Series in Probability and Statistics)

John Fox — Applied Regression Analysis and Generalized Linear Models

Joseph M. Hilbe — Negative Binomial Regression, Second Edition

J. S. Cramer — Logit Models from Economics and Other Fields

Franklin A. Graybill, Hariharan K. Iyer — Regression Analysis: Concepts and Applications

Dr. Fred C. Pampel — Logistic regression: a primer

James Jaccard — Interaction Effects in Logistic Regression

Ann A. O'Connell — Logistic Regression Models for Ordinal Response Variables

Fred C. Pampel — Logistic Regression: A Primer

Bertrand S. Clarke, Jennifer L. Clarke — Predictive Statistics Analysis and Inference Beyond Models

Joseph M. Hilbe — Modeling Count Data

Sanford Weisberg — Applied Linear Regression

Erick Su?rez, Cynthia M. P?rez, Roberto Rivera, Melissa N. Mart?nez — Applications of Regression Models in Epidemiology

Iain Pardoe — Applied Regression Modeling

Timothy Z. Keith — Multiple Regression and Beyond: An Introduction to Multiple Regression and Structural Equation Modeling

Leo Breiman — Classification and Regression Trees

Jeremy Arkes — Regression Analysis: A Practical Introduction

Charles M. Judd, Gary H. McClelland, Carey S. Ryan — Data Analysis: A Model Comparison Approach To Regression, ANOVA, and Beyond

Scott Menard — Logistic Regression : From Introductory to Advanced Concepts and Applications

Hilbe, Joseph M — Logistic regression models

Tang, Wan; He, Hua; Tu, Xin M — Applied categorical and count data analysis

Joseph M. Hilbe, Andrew P. Robinson — Methods of statistical model estimation

Peter K. Dunn, Gordon K. Smyth — Generalized Linear Models With Examples in R

Klein, Mitchel;Rihl Pryor, Erica;Kleinbaum, David G — Logistic Regression: a Selft Learning Text

Fox, John — Applied regression analysis and generalized linear models

Richard B. Darlington PhD, Andrew F. Hayes PhD — Regression Analysis and Linear Models: Concepts, Applications, and Implementation

Brady T. West, Kathleen B. Welch, Andrzej T Galecki — Linear Mixed Models: A Practical Guide Using Statistical Software, Second Edition

Xing Liu — Applied Ordinal Logistic Regression Using Stata

Hilbe, Joseph M — Practical guide to logistic regression

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