Understanding Regression Analysis: A Conditional Distribution Approach - Image 1

£96.00

CRC Press Understanding Regression Analysis: A Conditional Distribution Approach

Name: Understanding Regression Analysis: A Conditional Distribution Approach
Brand: CRC Press
Price: 96.0 GBP
Availability: InStock

Econometrics

Price History & Forecast

Last 9 days • 9 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 9 days • 1 price levels

Days at Price

Price Analysis

Most common price: £96 (9 days, 100.0%)

Price range: £96 - £96

Price levels: 1 different prices over 9 days

Description

Understanding Regression Analysis unifies diverse regression applications including the classical model, ANOVA models, generalized models including Poisson, Negative binomial, logistic, and survival, neural networks, and decision trees under a common umbrella -- namely, the conditional distribution model. It explains why the conditional distribution model is the correct model, and it also explains (proves) why the assumptions of the classical regression model are wrong. Unlike other regression books, this one from the outset takes a realistic approach that all models are just approximations. Hence, the emphasis is to model Nature’s processes realistically, rather than to assume (incorrectly) that Nature works in particular, constrained ways. Key features of the book include: Numerous worked examples using the R software Key points and self-study questions displayed "just-in-time" within chapters Simple mathematical explanations ("baby proofs") of key concepts Clear explanations and applications of statistical significance (p-values), incorporating the American Statistical Association guidelines Use of "data-generating process" terminology rather than "population" Random-X framework is assumed throughout (the fixed-X case is presented as a special case of the random-X case) Clear explanations of probabilistic modelling, including likelihood-based methods Use of simulations throughout to explain concepts and to perform data analyses This book has a strong orientation towards science in general, as well as chapter-review and self-study questions, so it can be used as a textbook for research-oriented students in the social, biological and medical, and physical and engineering sciences. As well, its mathematical emphasis makes it ideal for a text in mathematics and statistics courses. With its numerous worked examples, it is also ideally suited to be a reference book for all scientists.

Product Specifications

Brand: CRC Press
Format: hardcover
ASIN: 0367458527
Category: Books > Subjects > Business, Finance & Law > Economics > Econometrics
Domain: Amazon UK
Release Date: 15 July 2020
Listed Since: 21 January 2020

Barcode

No barcode data available

CRC Press Understanding Regression Analysis: A Conditional Distribution Approach

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Understanding Regression Analysis: A Conditional Distribution Approach

Regression Modeling with SAS - CRC Press Textbook

Predictive Analytics: Parametric Models for Regression and Classification Using R (Wiley Series in Probability and Statistics)

Probability and Statistics for Engineering and the Sciences with Modeling using R (Textbooks in Mathematics)

A Course in Probability and Statistics

Linear Regression Models: Applications in R (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)

Understanding Advanced Statistical Methods (Chapman & Hall/CRC Texts in Statistical Science)

Fundamentals of Causal Inference: With R (Chapman & Hall/CRC Texts in Statistical Science)

Probability and Statistics Applications for Environmental Science

CRC Press Probability and Statistical Inference Textbook

Statistical Methods in Biology: Design and Analysis of Experiments and Regression

Computational Statistics: An Introduction to R

Applied Regression Analysis: Doing, Interpreting and Reporting

Analysis of Distributional Data

Data Analysis for Social Science: A Friendly and Practical Introduction

Introduction to Statistical Modelling and Inference

Linear Regression Models: Applications in R (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)

Applied Regression Analysis: Doing, Interpreting and Reporting

Statistical Methods in Biology: Design and Analysis of Experiments and Regression

Functional Data Analysis with R (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Analysis of Microdata

Probability and Statistical Inference

Statistics in the Health Sciences: Theory, Applications, and Computing

Introduction to Linear Models and Statistical Inference