Interpreting Probability Models: Logit, Probit, and Other Generalized Linear Models (Quantitative Applications in the Social Sciences)

...

Author: Tim F. Liao

233 downloads 1729 Views 265KB Size Report

This content was uploaded by our users and we assume good faith they have the permission to share this book. If you own the copyright to this book and it is wrongfully on our website, we offer a simple DMCA procedure to remove your content from our site. Start by pressing the button below!

Report copyright / DMCA form

DOWNLOAD CHM

Linear Probability, Logit, and Probit Models (Quantitative Applications in the Social Sciences)

Linear Probability, Logit, and Probit Models (Quantitative Applications in the Social Sciences)

Ordinal Log-Linear Models (Quantitative Applications in the Social Sciences)

Ordinal Log-Linear Models (Quantitative Applications in the Social Sciences)

Generalized Linear Models: A Unified Approach (Quantitative Applications in the Social Sciences)

Generalized Linear Models: A Unified Approach (Quantitative Applications in the Social Sciences)

An Introduction to Generalized Linear Models (Quantitative Applications in the Social Sciences)

An Introduction to Generalized Linear Models (Quantitative Applications in the Social Sciences)

Applying Generalized Linear Models

Applying Generalized Linear Models

Applying Generalized Linear Models

Applying Generalized Linear Models

Generalized linear models

Generalized linear models

Generalized Linear Models: with Applications in Engineering and the Sciences (Wiley Series in Probability and Statistics)

Generalized Linear Models: with Applications in Engineering and the Sciences (Wiley Series in Probability and Statistics)

Generalized Linear Models: with Applications in Engineering and the Sciences (Wiley Series in Probability and Statistics)

Generalized Linear Models: with Applications in Engineering and the Sciences (Wiley Series in Probability and Statistics)

Nonrecursive Causal Models (Quantitative Applications in the Social Sciences)

Nonrecursive Causal Models (Quantitative Applications in the Social Sciences)

Models for Innovation Diffusion (Quantitative Applications in the Social Sciences)

Models for Innovation Diffusion (Quantitative Applications in the Social Sciences)

Stochastic Parameter Regression Models (Quantitative Applications in the Social Sciences)

Stochastic Parameter Regression Models (Quantitative Applications in the Social Sciences)

Multiple Time Series Models (Quantitative Applications in the Social Sciences)

Multiple Time Series Models (Quantitative Applications in the Social Sciences)

Rasch Models for Measurement (Quantitative Applications in the Social Sciences)

Rasch Models for Measurement (Quantitative Applications in the Social Sciences)

Multiple Time Series Models (Quantitative Applications in the Social Sciences)

Multiple Time Series Models (Quantitative Applications in the Social Sciences)

Interpreting and Using Regression (Quantitative Applications in the Social Sciences)

Interpreting and Using Regression (Quantitative Applications in the Social Sciences)

Interpreting and Using Regression (Quantitative Applications in the Social Sciences)

Interpreting and Using Regression (Quantitative Applications in the Social Sciences)

Introduction to Generalized Linear Models

Introduction to Generalized Linear Models

Logit models from economics and other fields

Logit models from economics and other fields

Logit Models from Economics and Other Fields

Logit Models from Economics and Other Fields

Quantitative Models in Psychology

Quantitative Models in Psychology

Quantitative Models in Psychology

Quantitative Models in Psychology

Generalized Linear Models: With Applications in Engineering and the Sciences (Second Edition)

Generalized Linear Models: With Applications in Engineering and the Sciences (Second Edition)

Quantitative Models in Psychology

Quantitative Models in Psychology

Generalized linear models for insurance data

Generalized linear models for insurance data

Generalized linear models for insurance data

Generalized linear models for insurance data

Generalized Linear Models: A Bayesian Perspective

Generalized Linear Models: A Bayesian Perspective

Generalized Linear Models: An Applied Approach

Generalized Linear Models: An Applied Approach

Generalized Linear Models for Insurance Data

Generalized Linear Models for Insurance Data

Generalized linear models - a Bayesian perspective

Generalized linear models - a Bayesian perspective

Our partners will collect data and use cookies for ad personalization and measurement. Learn how we and our ad partner Google, collect and use data. Agree & close