Statistical Regression Modeling with R: Longitudinal and Multi-level Modeling (Emerging Topics in Statistics and Biostatistics) - Image 1

£76.25

Springer Statistical Regression Modeling with R: Longitudinal and Multi-level Modeling (Emerging Topics in Statistics and Biostatistics)

Name: Statistical Regression Modeling with R: Longitudinal and Multi-level Modeling (Emerging Topics in Statistics and Biostatistics)
Brand: Springer
Price: 76.62 GBP
Availability: InStock

Languages

Price History & Forecast

Last 3 days • 3 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 3 days • 1 price levels

Days at Price

Price Analysis

Most common price: £77 (3 days, 100.0%)

Price range: £77 - £77

Price levels: 1 different prices over 3 days

Description

This book provides a concise point of reference for the most commonly used regression methods. It begins with linear and nonlinear regression for normally distributed data, logistic regression for binomially distributed data, and Poisson regression and negative-binomial regression for count data. It then progresses to these regression models that work with longitudinal and multi-level data structures. The volume is designed to guide the transition from classical to more advanced regression modeling, as well as to contribute to the rapid development of statistics and data science. With data and computing programs available to facilitate readers' learning experience, Statistical Regression Modeling promotes the applications of R in linear, nonlinear, longitudinal and multi-level regression. All included datasets, as well as the associated R program in packages nlme and lme4 for multi-level regression, are detailed in Appendix A. This book will be valuable in graduate courses on applied regression, as well as for practitioners and researchers in the fields of data science, statistical analytics, public health, and related fields.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 3030675858
Category: Books > Subjects > Computing & Internet > Programming > Languages
Domain: Amazon UK
Release Date: 10 April 2022
Listed Since: 14 March 2022

Barcode

No barcode data available

Springer Statistical Regression Modeling with R: Longitudinal and Multi-level Modeling (Emerging Topics in Statistics and Biostatistics)

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Statistical Regression Modeling with R: Longitudinal and Multi-level Modeling (Emerging Topics in Statistics and Biostatistics)

Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models (Statistics for Biology and Health)

Regression Modeling Strategies: With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis (Springer Series in Statistics)

Regression Modeling Strategies: With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis (Springer Series in Statistics)

Nonlinear Regression with R (Use R!)

Nonparametric Regression Methods for Longitudinal Data Analysis: Mixed-Effects Modeling Approaches (Wiley Series in Probability and Statistics)

Logistic Regression Models (Chapman & Hall/CRC Texts in Statistical Science)

Generalized Linear Models With Examples in R (Springer Texts in Statistics)

Logistic Regression Models (Chapman & Hall/CRC Texts in Statistical Science)

Log-Linear Models and Logistic Regression (Springer Texts in Statistics)

Regression & Linear Modeling: Best Practices and Modern Methods

Linear Mixed-Effects Models Using R: A Step-by-Step Approach (Springer Texts in Statistics)

Linear Mixed-Effects Models Using R: A Step-by-Step Approach (Springer Texts in Statistics)

Regression Modeling with SAS - CRC Press Textbook

Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)

Statistical Modelling for Social Researchers: Principles and Practice (Social Research Today)

Handbook for Applied Modeling: Non-Gaussian and Correlated Data

Statistical Learning from a Regression Perspective (Springer Texts in Statistics)

Statistical Learning from a Regression Perspective (Springer Texts in Statistics)

Applied Multivariate Statistics with R (Statistics for Biology and Health)

Understanding Regression Analysis: A Conditional Distribution Approach

Semiparametric Regression with R (Use R!)

Advanced Statistics for the Behavioral Sciences: A Computational Approach with R

Regression: Models, Methods and Applications