Interpreting Probability Models

Interpreting Probability Models
Author :
Publisher :
Total Pages : 88
Release :
ISBN-10 : 1412984572
ISBN-13 : 9781412984577
Rating : 4/5 (72 Downloads)

Book Synopsis Interpreting Probability Models by : Tim Futing Liao

Download or read book Interpreting Probability Models written by Tim Futing Liao and published by . This book was released on 1994 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt: What is the probability that something will occur, and how is that probability altered by a change in an independent variable? To answer these questions, Tim Futing Liao introduces a systematic way of interpreting commonly used probability models.


Interpreting Probability Models Related Books

Interpreting Probability Models
Language: en
Pages: 88
Authors: Tim Futing Liao
Categories: Electronic books
Type: BOOK - Published: 1994 - Publisher:

DOWNLOAD EBOOK

What is the probability that something will occur, and how is that probability altered by a change in an independent variable? To answer these questions, Tim Fu
Interpreting Probability Models
Language: en
Pages: 100
Authors: Tim Futing Liao
Categories: Mathematics
Type: BOOK - Published: 1994-06-30 - Publisher: SAGE

DOWNLOAD EBOOK

What is the probability that something will occur, and how is that probability altered by a change in an independent variable? To answer these questions, Tim Fu
Linear Probability, Logit, and Probit Models
Language: en
Pages: 100
Authors: John H. Aldrich
Categories: Mathematics
Type: BOOK - Published: 1984-11 - Publisher: SAGE

DOWNLOAD EBOOK

After showing why ordinary regression analysis is not appropriate for investigating dichotomous or otherwise 'limited' dependent variables, this volume examines
Introduction to Probability Models
Language: en
Pages: 801
Authors: Sheldon M. Ross
Categories: Mathematics
Type: BOOK - Published: 2006-12-11 - Publisher: Academic Press

DOWNLOAD EBOOK

Introduction to Probability Models, Tenth Edition, provides an introduction to elementary probability theory and stochastic processes. There are two approaches
Interpretable Machine Learning
Language: en
Pages: 320
Authors: Christoph Molnar
Categories: Artificial intelligence
Type: BOOK - Published: 2020 - Publisher: Lulu.com

DOWNLOAD EBOOK

This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simp