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CRC Press Distributions for Modeling Location, Scale, and Shape

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Description

Master the complexities of statistical distributions with this comprehensive guide from CRC Press. This book provides a deep dive into the properties of various distributions and their practical application to modeling the dependence of location, scale, and shape on explanatory variables. It is designed to help you understand how response variable distributions behave in relation to different data inputs. Whether you are an applied statistician working on real-world data or a data scientist seeking to improve model accuracy, this text provides the necessary framework for advanced statistical modeling. It also serves as a valuable resource for those interested in the theoretical properties of distributions. This volume serves as a follow-up to 'Flexible Regression and Smoothing: Using GAMLSS in R' by Stasinopoulos et al. (2017), expanding on the GAMLSS model and software to provide a complete understanding of modern statistical techniques.

Key Features

Explore the properties of statistical distributions and their practical applications in modeling response variables.

Learn to model the dependence of location, scale, and shape on various explanatory variables.

Ideal for applied statisticians and data scientists working across a wide range of application areas.

Provides theoretical depth for readers interested in the mathematical properties of distributions.

Acts as a specialized follow-up to the previous work on GAMLSS models and software.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
20 September 2019
Listed Since
01 June 2019

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